Oferty pracy Data Engineer i Data Science — 1,371+ Ofert

Job Description       Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation.    Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.   Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes.   All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.     Join us an AI Engineer to join our Private Bank & Wealth Management (PBWM) GenAI team, where innovation is already delivering real impact. You’ll work on high‑profile, strategic initiatives, contributing to end‑to‑end GenAI solutions that are already delivering measurable value for our clients, while helping solve complex problems and drive tangible business outcomes.   To be successful as an AI Engineer, you should have experience with; Expert Python & AI Engineering Frameworks- Deep proficiency in Python and modern AI frameworks (e.g., LangChain, LangGraph, HuggingFace), including vector‑retrieval tooling. Agentic AI & Orchestrated Reasoning- Hands‑on experience designing and deploying agentic AI workflows, tool‑using agents, and multi‑step reasoning systems in production environments. RAG Architecture & Implementation- Practical experience designing and implementing Retrieval‑Augmented Generation (RAG) solutions, including embeddings, chunking, retrieval optimisation, and safety/guardrails. Production‑Grade AI Application Engineering- Proven ability to build and operate full‑stack AI applications (backend, APIs, modern front‑end frameworks such as React) with focus on reliability, scalability, security, and observability. Cloud‑Native AI Deployment on AWS- Experience deploying AI solutions using AWS services such as Bedrock, SageMaker, Lambda, API Gateway, and vector‑enabled datastores (e.g., OpenSearch, pgvector).   Some other highly valued skills may include; End‑to‑End MLOps / LLMOps- Experience with model lifecycle management, evaluation frameworks, monitoring, and CI/CD for AI workloads. Model Fine‑Tuning Expertise- Understanding of fine‑tuning techniques and when to apply fine‑tuning vs. RAG vs. hybrid strategies. Enterprise‑Grade Governance & Security- Experience designing AI systems within regulated or compliance‑heavy environments. Cost‑Optimised AI Architecture- Ability to design scalable, efficient AI systems through model selection, inference optimisation, and resource‑efficient deployment.   You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills   Location of the role is Glasgow

** Johnson Service Group (JSG) is a nationally recognized professional staffing and recruiting firm that is looking for a degreed and experienced Data Scientist to fill a hybrid contract assignment in Atlanta, Georgia. Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Education: Bachelor's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Master's or Ph.D. is a plus. Experience: 5 to 10 years of experience in data science, including machine learning and statistical analysis. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. Feature Engineering: Engineer and select relevant features for machine learning models, enhancing their predictive power. Algorithm Development: Build and fine-tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross-functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Skills: Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff.  This position may require some bending, lifting, climbing, prolonged sitting, prolonged walking, walking on gravel or crawling when necessary. JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.     #D650

ABOUT THIS POSITION Waystar, the leading Healthcare Revenue Cycle Management (RCM) technology company, is seeking a skilled Data Engineer to support our growing Data Licensing and Resale product team. In this role, you will design, build, and optimize scalable data pipelines and infrastructure to support the delivery of licensed data products and insights to customers. You will work with complex healthcare data from multiple source systems and ensure data accuracy, reliability, and performance using modern cloud platforms like Snowflake and Google BigQuery, along with SQL, Python, SQL Server, and Postgres. The ideal candidate will have an understanding of healthcare data and RCM processes, with strong technical expertise and the ability to collaborate across data, product, and business teams to build data products that deliver high-quality, accurate insights to clients. You will play a key role in building the infrastructure needed to support data monetization strategies and ensuring that licensed data products meet customer expectations for performance and accuracy. WHAT YOU'LL DO 1. Data Architecture and Engineering Design and implement scalable, high-performance data pipelines using Snowflake and Google BigQuery to deliver licensed data products to customers. Develop and maintain ETL/ELT processes to ingest, transform, and store structured and unstructured data, ensuring data accuracy and timeliness. Build data infrastructure to support real-time and batch processing use cases for customer-facing products. Establish and enforce data quality and privacy standards and monitoring to ensure consistent and accurate data delivery to customers. Monitor and troubleshoot data pipeline performance issues and implement proactive improvements to minimize downtime and data delivery delays. 2. Data Modeling and Integration Design and implement data models to support data licensing and resale use cases, ensuring they meet customer requirements and business goals. Integrate data from multiple source systems, including SQL Server, Postgres, and external APIs, ensuring data consistency and reliability. Create and maintain data dictionaries and metadata to support customer understanding and self-service analytics. Implement data partitioning, indexing, and clustering strategies to improve query performance and reduce processing time. Develop and maintain secure de-dentification and data-sharing mechanisms to ensure appropriate access controls for licensed data products. 3. Data Licensing and Product Support Work closely with product and business teams to define data product requirements and deliver licensed data products that meet customer expectations. Implement secure data-sharing protocols to ensure that licensed data is accurately and efficiently delivered to customers. Design and implement data anonymization and de-identification processes to meet data privacy and HIPAA compliance requirements. Create scalable data delivery mechanisms to support on-demand and scheduled data access for external clients. Ensure data licensing agreements and customer contracts are reflected accurately in data access controls and delivery processes. 4. Value Delivery and Customer Outcome Achievement Partner with business and product teams to understand customer goals and translate them into data engineering solutions. Ensure that data products and pipelines deliver measurable business value and directly improve customer outcomes (e.g., better claim processing insights, faster payment reconciliation). Establish KPIs to track the business impact of data solutions and continuously improve them. Actively identify opportunities to improve data quality and speed of delivery to enhance customer experience and support data product growth. 5. Automation and Performance Optimization Automate repetitive data processing tasks using Python and SQL to reduce manual effort and increase efficiency. Monitor and optimize data pipeline performance, addressing bottlenecks and failures to improve customer satisfaction. Leverage Snowflake’s performance features (e.g., micro-partitions, clustering, materialized views) to optimize query performance. Implement data orchestration using tools like Airflow or dbt to automate and monitor workflows. WHAT YOU'LL NEED Bachelor's or Master’s degree in Computer Science, Data Engineering, or comparable experience. 5–7 years of experience in data engineering with a focus on cloud-based data platforms. Experience working with relational databases such as SQL Server and Postgres. Proven experience designing and implementing large-scale data pipelines with a focus on value delivery and performance. Strong understanding of data warehousing, data lakes, and modern data architectures. Experience working with data-sharing frameworks and licensing models. Strong business-focused mindset with a clear drive to deliver measurable outcomes. Strong attention to detail and focus on data accuracy and quality. Preferred: Experience working with healthcare data and understanding RCM processes (claims, billing, payments). Familiarity with data orchestration tools (e.g., Airflow, dbt). Experience with data security, access controls, and healthcare data compliance (HIPAA). Experience with data licensing agreements and customer-facing data products. Strong problem-solving skills and ability to work in a fast-paced environment. Active use of artificial intelligence (AI) tools and techniques to enhance performance, drive innovation, and improve decision-making across business functions. Ability to leverage AI tools and platforms to streamline workflows, improve decision-making, and drive innovation. Curiosity and adaptability in exploring emerging AI technologies, with a mindset for continuous learning and experimentation. Why Join Us Opportunity to work with cutting-edge cloud data technologies. Play a key role in delivering licensed data products that drive customer value. Work in a collaborative and innovative environment. ABOUT WAYSTAR Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle. Waystar’s healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun. Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book™ surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar (https://twitter.com/Waystar) on Twitter. WAYSTAR PERKS Competitive total rewards (base salary + bonus, if applicable) Customizable benefits package (3 medical plans with Health Saving Account company match) We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays Paid parental leave (including maternity + paternity leave) Education assistance opportunities and free LinkedIn Learning access Free mental health and family planning programs, including adoption assistance and fertility support 401(K) program with company match Pet insurance Employee resource groups Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Job Category: Technology/Engineering Job Type: Req ID: R3045

As a Senior Data Scientist at Epicor, you will be a key contributor in designing, building, and deploying high‑impact ML and AI solutions that empower our customers and accelerate product innovation. You will architect machine learning systems, develop models at scale, and shape the end‑to‑end technical strategy that powers Epicor’s analytics and intelligence platform. You will partner closely across engineering, product, and business teams to ensure our ML solutions deliver measurable value. We are seeking applicants with deep technical expertise, strong problem‑solving instincts, and a passion for driving innovation with data What you will be doing: Architect and develop scalable ML and AI solutions, aligning model design and deployment with product and customer needs. Build, train, and optimize machine learning models using Python, ML frameworks, and large‑scale data pipelines. Leverage PyTorch, ML SDKs, and GPU‑accelerated workflows to support advanced model development and experimentation. Work with large, complex datasets to design robust feature engineering, data processing, and model evaluation approaches. Collaborate cross‑functionally with engineering, analytics, finance, and professional services stakeholders to deliver end‑to‑end ML solutions. Participate in the design of ML system architecture, ensuring reliability, quality, and operational efficiency. Research emerging AI/ML technologies and integrate new capabilities that strengthen Epicor’s long‑term data science strategy. What you will likely bring: 6+ years’ experience building, deploying, and supporting large‑scale analytics, ML, or AI solutions. Advanced proficiency in Python, including development of production‑grade ML models. Experience with PyTorch, ML SDKs, and modern machine learning frameworks. Demonstrated success working with large datasets and architecting scalable data science workflows. Experience designing ML system architecture and end‑to‑end data science solutions. Applied analytics experience with strong analytical thinking and problem‑solving skills. Experience collaborating across technical and non‑technical teams to drive ML‑driven outcomes. What could set you apart: Experience with GPU‑accelerated ML workflows. Familiarity with R for data science or analytics research. Experience writing or interpreting ML/AI whitepapers or applied research. Exposure to big data pipelines and distributed compute environments. Background collaborating with finance or professional services teams on data‑driven initiatives. #LI-HYBRID #LI-MB2 About Epicor At Epicor, we’re truly a team. Join 5,000 talented professionals in creating a world of better business through data, AI, and cognitive ERP. We help businesses stay future-ready by connecting people, processes, and technology. From software engineers who command the latest AI technology to business development reps who help us seize new opportunities, the work we do matters. Together, Epicor employees are creating a more resilient global supply chain. We’re Proactive, Proud, Partners. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners for the world’s most essential businesses—the hardworking companies who make, move, and sell the things the world needs. Competitive Pay & Benefits Health and Wellness: Comprehensive health and wellness benefits designed to support your overall well-being. Internal Mobility: Opportunities for mentorship, continuing education, and focused career goal setting, with 25% of positions filled internally. Career Development: Free LinkedIn Learning licenses for everyone, along with our Mentoring Program to boost your personal development. Education Support: Geographically specific programs to balance the cost of education with the benefits of continued learning and personal development. Inclusive Workplace: Collaborate with a diverse team in an inclusive, global workplace that fosters innovation and celebrates partnership. Work-Life Balance: Policies built on mutual trust and support, encouraging time off to rest, recharge, and reconnect. Global Mobility: Comprehensive support for international relocations and permanent residency processes. Equal Opportunities and Accommodations Statement Epicor is committed to creating a workplace and global community where inclusion is valued; where you bring the whole and real you—that’s who we’re interested in. If you have interest in this or any role- but your experience doesn’t match every qualification of the job description, that’s okay- consider applying regardless. We are an equal-opportunity employer. Recruiter: Matthew Brady At Epicor, we know that success comes from working together. Everyone has a role to play, and it’s the essential partnerships across our company that are crucial to our customers' success and our growth as a business. We’re truly a team. Working in close partnership, we bring wide-ranging talents together in powerful collaborations. We think innovatively, share our knowledge generously, and constantly learn from our colleagues. We’re proud of the success we achieve every day, but we never stop challenging ourselves and encouraging each other. Together, we go further and imagine an even brighter future. Whatever your career journey, we’ll help you find the right path. Through our training courses, mentorship, and continuous support, you’ll get everything you need to thrive. At Epicor, your success is our success. And that success really matters, because we’re the essential partners to the world’s most essential businesses – the hardworking companies who make, move, and sell the things the world needs. Thank you for considering a career with Epicor. Whether you're exploring opportunities on our careers page, preparing for a phone screen or interview, have already applied, or have been through our application process, we appreciate your interest and the time you have invested. We are committed to showing you how much we care about your future. Epicor Career Assistant can help you land a job nearly 2.5x faster than the national average. We've brought you the best job searching tools all in one place, at no cost to you. At Epicor, we believe putting people first is the right thing to do. Click here to get started. At Epicor, we are committed to upholding the highest standards of integrity and transparency. We have become aware of phishing scams where individuals pose as our recruiters, hiring managers, and/or HR Business Partners to obtain personal information. These scams can seem legitimate, but it's important to know how to protect yourself. How to Identify Phishing Scams: Epicor Will Never Ask for Payment: Our recruiters will never ask for payment to apply for a position or as a condition of employment. For example, any required background check will be facilitated by Epicor. Beware of Misleading Communications: Do not pay any fees to individuals, agencies, or employment portals related to an interview or other interaction with Epicor. Epicor will not be responsible for any loss or damage suffered. Verify Authenticity: All legitimate Epicor communication will come from the following alias/domains: "Workday@epicor.com", "Recruiting@epicor.com", and/or "First name.Last name@epicor.com". The only valid domain is www.epicor.com. Verify job positions on our careers site at jobs.epicor.com and confirm that the recruiter you speaking to is listed on the requisition. Be cautious of generic emails and check for misspellings of Epicor or non-Epicor email addresses (e.g., gmail.com, yahoo.com, or even close variations like @epicor.talent.com). If you have any questions or encounter any suspicious emails, job postings, and/or communication from what appears to be Epicor, please report them to recruiting@epicor.com immediately.

Deine Persönlichkeit. Deine Karriere im Consulting. Campana & Schott ist eine internationale Management- und Technologieberatung mit den Schwerpunkten Transformationsvorhaben in den Bereichen Digitalisierung, New Work und Sustainability sowie Geschäftsbereichs- und Organisationstransformation. Bei uns erlebst Du eine Kultur der Menschlichkeit und arbeitest in Teams, die sich unterstützen, Herausforderungen annehmen und außergewöhnliche Lösungen für unsere Kunden finden. Wir geben Dir Raum für Dich und Deine Ideen, fördern Deine persönliche und fachliche Entwicklung und übernehmen gemeinsam Verantwortung für eine nachhaltige Zukunft. Uns interessiert, welche Expertise Du mitbringst, welche Talente und Ambitionen Du hast und was Du noch lernen möchtest. Noch mehr sind wir aber daran interessiert, zu entdecken, wer Du bist. Working with us: Just be. Dein Job: Als Technologieexpert:in berätst Du unsere Kunden zum Einsatz neuester Technologien aus dem Data und Microsoft Universum, z.B. MS Fabric, Azure Data Factory, Azure Databricks, Power BI und Azure AI. Die Projekte begleitest Du über unterschiedliche Phasen hinweg - von Anforderungen, bis Konzept und die technische Umsetzung / Development. Dabei beschäftigst Du Dich mit Geschäftsprozessen, Daten und IT Systemen, um Use Cases für Big Data und Advanced Analytics Szenarien zu implementieren. Als Data Engineer in vielseitigen Projekten integrierst, modellierst, transformierst und analysierst Du Daten auf Basis von Kundenanforderungen.  Du entwickelst Dich weiter und baust innovatives Expertenwissen in Datenplattformen bzw. in den relevanten Technologien und Methoden weiter auf (z.B. Big Data Architekturen, Business Intelligence und Machine Learning). Dein Profil: Hochschulabschluss, z. B. in Business Analytics, Wirtschaftsingenieurwesen oder (Wirtschafts-)Informatik Kenntnisse in SQL und Python  Praxiserfahrungen im Bereich Data Engineering, Data Warehousing, Data Science oder Reporting in den relevanten Technologien sind von Vorteil  Interesse an innovativen Technologien und den neuesten Trends in Cloud Architekturen und technischen Entwicklungen Fließende Deutsch- und Englischkenntnisse in Wort und Schrift Kommunikationsstärke, Eigeninitiative und Freude an der Zusammenarbeit – im Team und mit Kunden Reisebereitschaft und Lust auf die Arbeit beim Kunden vor Ort Unser Angebot: wachsen & wohlfühlen Keine Floskeln: Als inhabergeführtes Unternehmen bieten wir echte Freiräume, faire Bedingungen und eine transparente Führung. Start nach Maß: Ein zweiwöchiges StartUp-Camp und unser Buddy-Programm sorgen für ein optimales Onboarding. Karriere 4.0: In unserem wachsenden Unternehmen kannst Du Dich individuell weiterentwickeln, z.B. durch technische und fachliche Zertifizierungen im Microsoft-Umfeld. Professionell & persönlich: Freue Dich auf exzellente Projektarbeit beim Kunden und ein vertrauensvolles Verhältnis zu Kolleginnen, Kollegen und Vorgesetzten. Zusammenarbeit leben: Wir tauschen uns regelmäßig in Foren und Fachgruppen aus und veranstalten außergewöhnliche Company-Events. Work-Life-Balance: Profitiere von flexiblen Arbeitszeiten und unserem Sabbatical-Modell „Private Time“. Chancengleichheit:Campana & Schott setzt sich für Chancengleichheit, Vielfalt und Integration am Arbeitsplatz ein. Wir unterbinden Diskriminierung und Belästigung jeglicher Art aufgrund von Geschlecht, Hautfarbe, Religion, Alter, sexueller Orientierung, Herkunft, körperlicher und geistiger Fähigkeiten, geschlechtlicher Identität oder anderer geschützter Merkmale.

Data Engineer – Health Tech Fully Remote, UK. Category: Permanent Jobs Salary: 55-70k + Pension, Healthcare, Fully Remote Ref: JT/JC/6018 Telephone: 01908 752385 Job Title: Data Engineer - Health Tech (Fully Remote, UK) Salary: £70,000 + 28 days holiday + 5% pension + extra perks Location: Fully Remote (UK-based) Team Size: 6 Type: Permanent, Full-time About the Role We're a growing health tech company on a mission to improve how healthcare data is connected, shared, and understood. We're looking for a Data Engineer who thrives on solving complex data challenges and wants to make a direct impact on patient outcomes through technology. You'll join a small, agile team of six engineers working on our bespoke data platform - built to handle large-scale integrations across healthcare providers and systems. You'll take the lead on data migration, conversion, onboarding, and optimisation, ensuring every dataset is accurate, consistent, and ready to power smarter clinical tools. Key Responsibilities Design, develop, and maintain ETL processes to move and transform healthcare data. Build and optimize complex SQL queries across large and varied data sources. Create and manage SSIS packages for robust data migration and integration workflows. Support data conversion and onboarding for new partners and systems. Investigate and resolve data-related issues with a problem-solving mindset. Collaborate with developers, analysts, and implementation teams to shape platform improvements. Contribute to data model design, quality assurance, and performance tuning. About You Strong experience with SQL (analytic queries, performance tuning, stored procedures). Proven experience building ETL pipelines using SSIS or similar tools. Background in data migration or systems integration, ideally in a complex or regulated environment. Passion for problem-solving and continuous improvement. Experience handling healthcare data, or a strong interest in learning the space. Comfortable working remotely and collaboratively within a small, high-performing team.

<p><strong><em>This is us</em></strong><em><br><br></em>At Avenga, we believe that human creativity empowers technology that matters. Operating globally, our 6000+ specialists provide a full spectrum of services, including business and tech advisory, enterprise solutions, CX, UX and Ul design, managed services, product development, and software development. <br></p><p><strong><em>This is the job</em></strong><br></p><p>Within the telecommunications domain, we are actively seeking a Senior Data Scientist to strengthen our team focused on building AI-driven solutions that enhance customer experience and operational efficiency.</p><p>You will be working on advanced Generative AI use cases, including conversational AI (chatbots and voice bots), as well as internal AI tools that support business teams in their daily operations. The role involves designing and scaling solutions such as RAG-based systems and intelligent assistants, enabling both customer-facing and internal automation scenarios.</p><p><strong><em>This is the team</em></strong><em><br></em></p><p>In this role, you'll become a vital member of a diverse and international Data Science team within the IT organization.</p><p>The team works closely with multiple business units (B2C, B2B, Finance, Technology), delivering data-driven solutions that go beyond proof of concept and are designed for production from the very beginning.</p><p>You will collaborate with data engineers, product stakeholders, and non-technical partners, contributing to end-to-end AI solution development - from ideation and prototyping to deployment and scaling.<br><strong><em><br>This is you</em></strong></p><ul><li><p>Master’s degree in AI, Machine Learning, Data Science, or a related field</p></li><li><p>3–6 years of experience as a Data Scientist (preferably at Senior level)</p></li><li><p>Strong expertise in AI/ML and practical experience delivering business-impacting solutions</p></li><li><p>Hands-on experience with Generative AI, especially LLMs</p></li><li><p>Experience with NLP use cases (e.g. chatbots, voice bots, text processing)</p></li><li><p>Solid programming skills in Python and experience working with APIs, SQL, and Git</p></li><li><p>Experience designing and implementing production-ready solutions</p></li><li><p>Ability to communicate complex technical concepts to non-technical stakeholders</p></li></ul><p>Nice-to-have skills:</p><ul><li><p>Experience with telecom domain or customer-facing digital products</p></li><li><p>Knowledge of Agentic AI, RAG systems, vector databases, and chunking strategies</p></li><li><p>Familiarity with LLM frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, or similar</p></li><li><p>Experience with AWS and/or on-premise deployments</p></li><li><p>Knowledge of Docker, Airflow, CI/CD pipelines (e.g. GitHub Actions/Runners)</p></li><li><p>Experience with Google AI/NLP ecosystem</p></li></ul><p><strong><em>This is your role</em></strong></p><ul><li><p>Design, develop, and scale AI/ML solutions with a strong focus on Generative AI</p></li><li><p>Build and optimize NLP-based systems, including chatbots and voice assistants</p></li><li><p>Develop and productionize RAG-based solutions and AI-powered internal tools</p></li><li><p>Collaborate with cross-functional teams to translate business needs into technical solutions</p></li><li><p>Deliver proof-of-concepts and evolve them into scalable, production-ready systems</p></li><li><p>Work closely with data engineers to ensure robust deployment and integration</p></li><li><p>Contribute to building a data-driven culture by demonstrating measurable business impact</p></li></ul><p>&nbsp;</p><p><strong><em>What awaits you at Avenga?</em></strong></p><p><em><br>At Avenga, everyone matters. We provide equal opportunities in recruitment, career development, and leadership, regardless of race, ethnicity, gender identity, sexual orientation, disability, age, religion, or any other characteristic. We are committed to fostering a work environment where our diverse community of employees, candidates, and business partners actively shapes our growth. By bringing together people from different backgrounds and experiences, we build a workplace where everyone feels free to be themselves while honoring the boundaries of others.</em></p>

We Are:At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.You Are:You are a curious and motivated engineer with a passion for developing innovative algorithms and cutting-edge machine learning solutions. You thrive in collaborative environments, enjoy tackling complex mathematical challenges, and are eager to contribute to real-world industrial applications. Your background in engineering, computer science, mathematics, or physics has equipped you with a solid foundation in programming and analytical thinking. You are comfortable working with C++ and Python, and you have experience or a keen interest in fields such as machine learning, artificial intelligence, data mining, optimization, and uncertainty quantification.You approach problems with creativity and rigor, seeking not just to solve them, but to create robust, scalable solutions that drive product excellence. You value continuous learning, whether it’s deepening your theoretical knowledge, mastering new tools and libraries, or collaborating with experts across disciplines. You communicate effectively, are receptive to feedback, and believe that sharing ideas leads to better outcomes. You aspire to make a measurable impact in a high-tech environment and are excited by the possibility of contributing to patentable innovations and research publications. If you’re looking for a role where your technical skills and innovative mindset can shape the future of design optimization, you’ll find your place on our team.What You’ll Be Doing:Designing, implementing, maintaining, testing, evaluating, benchmarking, and documenting advanced algorithms and mathematical functions for ANSYS optiSLang.Collaborating closely with customer support teams to ensure developed algorithms are applicable and effective for industrial scenarios.Learning and applying best practices in software development, machine learning, and optimization.Performing bug verification, release testing, and providing support for assigned software products.Investigating and resolving technical problems identified by QA or product support, and developing innovative solutions.Working under the guidance of experienced development managers and lead developers, contributing to both new methods and the improvement of existing implementations.The Impact You Will Have:Advance the capabilities of ANSYS optiSLang, driving innovation in process integration and parametric design optimization.Enable robust machine learning-based sensitivity analysis, optimization, and uncertainty quantification, empowering customers to solve complex engineering challenges.Enhance the efficiency and reliability of industrial applications through state-of-the-art algorithmic developments.Support the creation of high-performance, multi-disciplinary optimization tools, expanding the reach and impact of Synopsys solutions.Contribute to research publications and patentable ideas, shaping the future of optimization technologies.Facilitate the seamless integration of numerical simulation tools, ensuring scalable and flexible design workflows for customers worldwide.What You’ll Need:Master’s degree in Engineering, Computer Science, Mathematics, Data Science, Technical Physics, or a related field.Strong proficiency in C++ and Python programming, with experience in object-oriented development.Background in at least one of the following: machine learning, artificial intelligence, data mining, single-objective optimization, multi-objective decision making, or uncertainty quantification.Familiarity with Python libraries for machine learning and data analysis, such as TensorFlow, Theano, PyTorch, Scikit-learn, pandas, etc.Theoretical knowledge of regression and classification methods, and experience with high-dimensional applications.Who You Are:Analytical thinker with strong problem-solving skills.Effective communicator, able to collaborate across teams and share ideas clearly.Quick learner, adaptable to new technologies and methodologies.Team player, comfortable working in geographically distributed groups.Detail-oriented, committed to quality and excellence in all deliverables.The Team You’ll Be A Part Of:You’ll join the ANSYS optiSLang Research and Development team, a dynamic group dedicated to advancing state-of-the-art software for machine learning-based sensitivity analysis, optimization, and uncertainty quantification. The team fosters innovation, collaboration, and continuous learning, working closely with experts across engineering, mathematics, and software development disciplines to deliver impactful solutions for industrial applications.Rewards and Benefits:We offer a comprehensive range of benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Role Title: Scala Engineer /Data Engineer (CIP) Duration: 6 month contract Location: London, mainly remote working with 1 day per month at office for co-working days Rate: up to £598 p/d Umbrella inside IR35Role purpose / summaryWhat is the Customer Insight Platform (CIP)?CIP is composed of multiple agile, lean teams who together provide a platform and services to collect, evaluate and analyse customer interaction data.Context: Teams across CIPCIP focuses on capturing customer interaction data across the client estate and making it easily available to a wide audience through several different channels.CIP processes and stores a vast amount of customer interaction data, using cutting edge & emerging technologies to perform bulk operations at scale, whilst operating, maintaining, and improving a critical platform that our consumers depend on.It also provides several different channels that allow teams within the client to access and analyse the data in a digestible format to support their day-to-day responsibilities.Context: CIP Insights & Reputation Team (CIR) CIP is driven by the principal need to detect and prevent fraudulent access to taxpayer data and prevent organised repayment fraud. Our team splits this process into two phases: Attribute ReputationWe build, operate and maintain services that prioritise collecting high quality data, that is verifiable and reputable from Customers; the services we offer can help confirm and validate the data points (or attributes) they have provided. For example:Bank AccountsCheck the sort code existsCheck against a Third-Party API to confirm that the Sort Code, Account Number and Name provided match the name held by the Bank Addresses Ingest UK Postal Data from Post Office and Ordnance Survey data Provide a postcode lookup for addresses Phone Numbers A verification service that sends a text message via a Third-Party to confirm that the User has access to the mobile device and number provided. EmailsA verification service that sends an email to confirm that the User has access to the email they have provided We are constantly building an enhancing these services to continually improve the data attribute quality held by the client. We also continually ingest many other attributes of interest from all transactions across the client that are captured as part of Audit Events. InsightsThe process through which large amounts of data are collated from tax transactions to glean insights into common attributes. In particular, we assert their validity and derive risk scores for transactions based on whether the attributes in question, or other attributes used in combination with that attribute, have been used in historic transactions associated with past suspicious or fraudulent activity.Collaboration with other data product and front-end product teams will form the core of creating a frictionless customer experience to exploit the digital audit data that CIP holds.Insights from Attribute Reputation are crucial for the client services, and the CIR team is pioneering data sharing with other government departments and local authorities.Desired behavioursBe proactiveResponsible and motivated self-starterUser centric attitudePrioritise people over processesDrive lean results; understand the value of iterative delivery Be evidence driven Advocate for 'doing the right thing'Help others understand your work through co-participatory design, pairing, demos and documentation Make complex look and sound simple Be kind, creative and convincing Role description The CIP Insights & Reputation team is seeking a Software/Data Engineer to help develop and maintain both the Attribute and Insights Data Products. We support services that run both on the Multi-Channel Digital Tax Platform (MDTP) and the Customer Insights Platform (CIP).The Software Engineer will be part of a vibrant multi-disciplinary team. They should be comfortable around back-end coding languages (Scala/Python), frontend languages (HTML/CSS/JS), development frameworks (Play/Spark), Agile Methodologies/Practices (Kanban/Scrum/Sprint), Operational Support (Kibana/Grafana), CI/CD (Jenkins/Airflow), RESTful APIs, Databases (MongoDB, Postgres, Hudi), AWS (Aurora RDS, S3, ECS, Secrets Manager), Infrastructure as code (Terraform) and third-party libraries. How we work: We favour:Breaking down a high-level problem as a team upfront and delivering the core value first Delivering individual business benefits to production, rather than bundling tasks together Collaboration, communication, regular pairing and thoughtful course-correction Taking the time to write simple and easy to maintain code Willingness to make and participate in improvements for the greater good of CIP Working cross-discipline rather than adhering to tightly defined roles.Common tasks including to:Participate in the design and creation of scalable software Design and develop clean functioning, testable code on the frontends and backends, write effective APIs, develop and manage well-functioning databases and applications with security and data protection settings Collaborate with the CIR product owner, business analyst, data engineers and the wider CIP teams to ideate software solutions Peer reviewing pull requests Testing and fixing bugs or other coding issues Set up, maintain and improve continuous integration Support live services with troubleshooting and monitoring Write technical documentation Knowledge & experience Knowledge of frontend languages (HTML, CSS, JavaScript) Knowledge of multiple backend languages (e.g. Scala, Java, Python) and libraries Familiarity with databases (e.g. Postgres, MongoDB, Splunk) Familiarity with big data tools (Spark, Presto, AWS EMR) Proven experience as a Full Stack Developer or similar role Experience coding in continuous integration context AWS suite experience Understands the importance of testing and automation Working in a lean, agile environment Working in a "you build it you run it" team Experience coding in continuous integration context Excellent communication Team player Great attention to detail An analytical mind Skills & technologies Essential:Scala/JavaPlay Framework (or other MVC/Rest API frameworks) SQL DB (e.g. Aurora, Postgres) NoSQL DB (e.g. MongoDB) Linux/Unix AWS (S3, ECS, Lamda, etc.) HTML/CSS/JavaScript Terraform SBT Continuous Integration (Jenkins) Agile methodologiesDesirable:PythonAirflowDockerKibanaGrafana All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Machine Learning Engineer Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency. Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country. Role Summary: At Filevine, you will design and deploy cutting-edge NLP models for tasks like medical summarization, credibility analysis, and contradiction detection, while continuously improving our transcription pipelines and internal AI automation processes. You'll collaborate with engineers to integrate models into production, ensure system stability and accuracy, and drive innovation in NLP, particularly within legal and medical domains, leveraging tools like Python, PyTorch, and AWS. Responsibilities Develop and improve NLP models for tasks such as medical summarization, credibility analysis, and contradiction detection Continuous improvement of our automatic transcription pipeline and automation of internal processes using AI Ensure high accuracy, stable processes, and optimized infrastructure/monitoring around the models Effectively communicate technical machine learning results in a business context Collaborate with our full-stack engineering team to ensure seamless implementation of ML models in production Promote excellence and best practices across the machine learning team in research, implementation, tooling, and system design Conceptualize and implement new ML ideas in the NLP domain, from validation to production Qualifications Good communication and writing skills in English At least 3 years of experience in machine learning roles involving end-to-end ownership of projects Strong background in NLP; experience with ASR is a plus Advanced experience with PyTorch or other modeling toolkits Good understanding of software engineering principles Working experience with deep learning techniques, particularly in NLP applications Team spirit and independent problem-solving mindset Experience with or interest in legal or medical domain NLP applications is a plus Ability to meet periodically in our Prague office as we value in-person collaboration

A growing Machine Learning and Artificial Intelligence Engineering group are currently looking for a new Machine Learning Engineer to help with the development of a number of different ML/AI projects for the Medical Devices and Scientific sectors. We are looking for someone with a few years experience working in Machine Learning or Artificial Intelligence that has applied your work to real world environments and improved systems in the Medical Devices or Scientific fields. You will hold a degree from a leading university in Computer Science, Machine Learning, Artificial Intelligence or another subject that covered ML or AI projects. You’ll mainly be programming in Python, C++ and R, so past experience of this would be useful. It would be highly advantageous if you’ve worked on deep learning frameworks, due to the latest projects that will need your attention. If you have Deep Learning knowledge please make it clear in your CV. This company is offering an excellent starting salary and some excellent benefits that include, but not limited to, pension, free lunch and snacks, annual bonuses, life assurance, private medical insurance, company share scheme and many more. This is a growing sector so I’m expecting a lot of interest, so if you are interested, I’d suggest making an application now so you don’t miss out. For more information, please feel free to call Andrew Welsh, Director of Medical Devices recruitment and Scientific recruitment specialists Newton Colmore, on +44 121 268 2240 or make an application and one of our team at Newton Colmore will contact you. Newton Colmore is a specialist recruitment company within the Medical Devices, Scientific Engineering, Data Science, Machine Learning, Scientific Software, Robotics, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance and Field Service Engineering sectors.  

AI Engineer <br /> TS/SCI and Poly is Required <br /> $150,000-$180,000 <ul> <li>Experience building and deploying agentic systems using modern frameworks like LangGraph, CrewAI, or similar orchestration tools.</li> <li>Develop Python applications that leverage multiple AI models and APIs in production</li> <li>3+ years of software development experience with strong Python proficiency.</li> <li>Hands-on experience building production AI applications (not just notebooks or demos).</li> <li>Familiarity with modern AI frameworks and tooling (Pydantic AI, LangChain, LlamaIndex, agent frameworks).</li> <li>Experience with API development and integration (REST, GraphQL, streaming APIs).</li> <li>Understanding of prompt engineering, structured outputs, and tool/function calling.</li> <li>Strong debugging skills and ability to troubleshoot non-deterministic AI behavior.</li> <li>Git proficiency and collaborative development experience.</li> <li>Self-directed learner who thrives in ambiguity and rapidly evolving technology.</li> <li>Genuine enthusiasm for exploring what's possible at the frontier of AI capabilities.</li> <li>Experience with agentic workflows and multi-agent orchestration.</li> <li>Experience with retrieval systems (RAG, vector databases, semantic search).</li> <li>Knowledge of AI engineering best practices (evals, observability, deployment patterns).</li> <li>Familiarity with multiple AI providers (Anthropic Claude, OpenAI, open-weight models).</li> <li>Experience building IDE extensions, CLI tools, or browser extensions with AI features.</li> <li>Understanding of data pipelines and structured/unstructured data handling.</li> </ul>

As Senior Data Engineer, you will be responsible for developing and maintaining data platforms and delivering with our team of Data Engineers through challenges. This key role embraces participating in the entire engineering lifecycle and ensuring successful data platform implementation. The ideal candidate will build and design data platform frameworks and data pipelines, act as a trusted advisor for Databricks and Airflow technology for clients, and enhance process effectiveness. A data engineer collaborates with the project team on project delivery and standards, with expertise in data warehouse and lakehouse development for large-scale customers. Essential skills include communication, collaboration, problem-solving, a data-driven mindset, and a passion for automation. What makes you a great fit? Key technologies Databricks | Data Platforms | SQL | Python | CI/CD | Azure | Data Services | ETL 5+ years of experience in configuration/release management, deployment, and maintenance and familiarity with various data platforms and practices in the data area Strong, hands-on experience in the Databricks ecosystem is a must. Very good coding skills with knowledge of best practices in SQL, Python Experience with Git-based repositories (Bitbucket, GitHub, GitLab) Familiarity with tools like Spark, Hadoop, Azure Data Factory, Apache Kafka/Event Hub, Airflow, dbt, or other data platform tools. Conceptual and technical knowledge on CI/CD pipelines, automation practices, and technical operations monitoring Strong sense of ownership, flexibility, and independence Nice to have Hands-on experience of automated testing frameworks (Greater Expectations, customer-made, etc.) Familiarity with Oracle or Apache ecosystem Soft skills Analytical ThinkingAbility to interpret data, identify trends, and provide actionable insights to drive business decisions. Problem-Solving SkillsProactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy. Effective CommunicationAbility to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration. Attention to DetailMeticulous in data validation, report generation, and ensuring data quality across BI platforms. Team CollaborationStrong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders. Adaptability and Continuous LearningOpen to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs. What will you do? Design and build cloud-based data platform frameworks and architectures. Integrate data from various structured and unstructured sources and formats. Implement automation for data workflows and support CI/CD processes. Optimize performance and resource usage of cloud data solutions. Maintain up-to-date knowledge of new technologies in data and cloud engineering. Monitoring, troubleshooting, and optimizing data systems for performance and cost. Supporting deployment of analytics and machine learning solutions on cloud platforms. Documenting processes, infrastructure, and best practices for future scalability Our benefits Your journey with us starts here: 1. Initial Screening: If you meet our requirements, our recruiter will reach out to you for a chat about your motivations and expectations. Get ready to share your passion! 2. Technical Interview: Next, you'll be invited to showcase your skills in an interview with one of our technical experts or team members. This is your chance to shine and demonstrate your expertise. 3. Final Interview: Finally, you'll have the opportunity to meet your future Team Lead. This is the perfect moment to learn more about the role, the team, and to ask any questions you might have.

Role Title: Technical Data AnalystDuration: contract to run until 30/11/2026Location: Sheffield, Hybrid 3 days per week onsiteRate: up to £400.20 p/d Umbrella inside IR35 Role purpose / summary This role is critical to ensure successful delivery of the ongoing Controls Transformation Projects within CTO. Given the wide range of automation and tooling development activities being carried out, this role will ensure requirements are accurately gathered and documented for clear articulation of the timelines and efforts, which will enable us to achieve the delivery milestones. The Opportunity: The Data Analyst will collect, interpret and visualize complex data sets to provide actionable business insights. Identifying trends, patterns, and correlations to aid decision-making. It will also include retrospective documentation of existing data flows in order to provide transparent and easily consumable documentation / artefacts. Key Responsibilities Data Collection: Gathering data from various sources and ensuring data integrity (often 60-70% of the role).Analysis & Modelling: Utilizing statistical methods to interpret data sets and identify trends, patterns, or anomalies.Reporting & Visualization: Where necessary supporting the development of automating reports and interactive dashboards (e.g., Tableau, Power BI), including validation of output.Stakeholder Collaboration: Communicating technical findings to non-technical audiences to support strategic decision-making.Database Management: Querying databases using SQL and optimizing data collection processes. What you will need to succeed in the role: Technical Skills: Proficiency in SQL and Excel is essential; knowledge of R, Python, or specialized BI tools is highly preferred.Analytical Thinking: Strong problem-solving skills to understand the ""why"" behind the data.Mathematics & Statistics: Solid understanding of statistical analysis.Communication: Ability to present data insights clearly to stakeholders. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!

Snowflake Data Engineer (Contract - Outside IR35) Hybrid (2 days onsite) – Edinburgh | £500 – £550 per day | 6 months | ASAP   Role Overview We are looking for a senior Snowflake Data Engineer to lead the migration from a bespoke AWS data platform to a modern Snowflake Lakehouse. This is hands-on and leadership combined. You will modernise an existing estate (not greenfield), deliver BAU improvements, and upskill the internal team to own the platform long-term. You will be working across Lambda, Glue, and Step Functions pipelines, moving transformations into dbt Core, and shaping the future architecture across orchestration, security, and cost control. Essential Skills Strong Snowflake experience (Lakehouse design, RBAC, security, cost optimisation) Deep dbt Core expertise (modelling, testing, macros, SCDs, incremental models) Solid dimensional modelling (Kimball – star schemas, facts/dimensions) Advanced SQL Orchestration tools (Airflow, Dagster or similar) Bonus Points AWS (Lambda, Glue, Step Functions) Workato or similar iPaaS tools Python / Snowpark Data governance / cataloguing This is an Outside IR35 contract role and hybrid to Edinburgh. Very strong chances of extension and for a leading product company. If you are keen APPLY NOW.   Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion in our industry.

<p><strong>Description</strong></p>Citizens’ Enterprise Data & Analytics (ED&A) organization is seeking a Senior Data Analyst with a primary focus related to all aspects of Business Banking customer portfolio management and enabling data-driven insights to support strategic objectives.Job DescriptionYou will support data-driven decision-making processes, provide strategic insights, and collaborate with business stakeholders and other team members.  You will use best practices and knowledge of internal or external business issues to improve products or services. Develop and articulate strategic recommendations based on rigorous data analysis. Primarily, work independently with collaboration across other functional teams to access data elements, understand the data being analyzed, and identify process improvement opportunities. You will be a key player in providing insights that directly impact our business strategies through complex analysis and 'big picture' thinking.Key ResponsibilitiesIn this role, you will:Work closely with teams supporting sales, finance, strategy, data enablement, incentives, products and other key partners to ensure analytics solutions are aligned to Business Banking processes, systems and goals.Serve as the lead analyst for the design and integration of KPI’s and other analytic data products, from scoping requirements to design, development, deployment, and integration into larger business processesInvest in developing deep knowledge of business decision frameworks, operational processes, and data to successfully design & develop practicable solutions with tangible business valuePerform complex data analysis across large, multi‑source Business Banking datasetsAnalyze colleague and customer behaviors to help deliver key portfolio metrics to support sales and strategy decisions.Develop relationships with other analysts as well as key partners to collaboratively ensure delivery of high-quality metrics and utilization in key business decision processesIdentify data quality, completeness, and lineage issues; partner with operations teams to remediate.Provide analytical input and support for Business Banking system modernization efforts.Communicate insights and recommendations clearly to senior business and technology stakeholders.Ensure analytics solutions comply with enterprise data governance, risk, and control standards.QualificationsA successful incumbent will have: Proven experience turning ambiguous business problems and raw data into rigorous analytic solutions by applying critical thinking and quantitative methodsExcellent communication skills with both technical and non-technical audiencesStrong leadership skills, including the ability to effectively guide project teamsA strong sense of intellectual curiosity and ability to thrive and deliver value in an entrepreneurial working environmentKnowledge of retail banking business domain; Deposits, Lending, Cash Management and/or CRM experience preferredExperience working with customer data including but not limited to  segmentation, marketing, profitability.Educational, Certifications and/or Other Professional Credentials:Bachelor's degree in finance, business, economics, mathematics, statistics or related field, and 5+ years of experience delivering analytic insights, MBA or Master’s degree preferredProficient in SQL with 3+ years of applied experience, Python & Tableau experience is preferredProficient in Microsoft Excel and PowerpointHours & Work ScheduleHours per Week: 40Work Schedule: Monday - FridayHybrid: 4 days per week onsite, 1 day remote Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment OpportunityCitizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

We're assisting a well-funded startup with their search for Machine Learning Engineers. Their product helps AI teams turn complex documents into LLM-ready inputs with exceptional accuracy. This role will work onsite in the SF office. What you'll do: Train and deploy new state of the art models for parsing and interpreting unstructured data Experiment with novel techniques to improve LLM accuracy Build data pipelines, evaluate model performance, and integrate models into the product Work directly with the founders and customers to shape the product direction and engineering strategy Ideal Candidate Traits: You have 1+ years of experience with training, fine tuning, and evaluating ML models used in production systems You have experience deploying models to production You’re exceptional at Python or similar, and are well versed with both traditional computer vision and VLMs Comfortable across software engineering and ML research Experience training ML pipelines and familiarity LLMs Nice to haves: Experience implementing ML systems for high-stakes domains (healthcare, finance, government) Experienced in computer vision (OCR,​ document processing)

Requisition ID # 171674 Job Category: Accounting / Finance Job Level: Individual ContributorBusiness Unit: Energy DeliveryWork Type: HybridJob Location: Oakland; Alameda; Alta; American Canyon; Angels Camp; Antioch; Auberry; Auburn; Avenal; Avila Beach; Bakersfield; Balch Camp; Bay Point; Bear Valley; Belden; Bellota; Belmont; Benicia; Berkeley; Brentwood; Brisbane; Buellton; Burney; Buttonwillow; Calistoga; Campbell; Canyon Dam; Canyondam; Capitola; Caruthers; Chico; Clearlake; Clovis; Coalinga; Colusa; Concord; Concord; Corcoran; Cottonwood; Cupertino; Daly City; Danville; Davis; Dinuba; Downieville; Dublin; Emeryville; Eureka; Fairfield; Folsom; Fort Bragg; Fortuna; Fremont; French Camp; Fresno; Fresno; Fulton; Garberville; Geyserville; Gilroy; Goodyear; Grass Valley; Guerneville; Half Moon Bay; Hayward; Hinkley; Hollister; Holt; Houston; Huron; Jackson; Kerman; King City; Lakeport; Lemoore; Lincoln; Linden; Livermore; Lodi; Loomis; Los Banos; Lower Lake; Madera; Magalia; Manteca; Manton; Mariposa; Martell; Marysville; Maxwell; Menlo Park; Merced; Meridian; Millbrae; Milpitas; Modesto; Monterey; Montgomery Creek; Morgan Hill; Morro Bay; Moss Landing; Mountain View; Napa; Needles; Newark; Newman; Novato; Oakdale; Oakhurst; Oakley; Olema; Orinda; Orland; Oroville; Palo Alto; Palo Cedro; Paradise; Parkwood; Paso Robles; Petaluma; Pioneer; Pismo Beach; Pittsburg; Placerville; Pleasant Hill; Point Arena; Potter Valley; Quincy; Rancho Cordova; Red Bluff; Redding; Richmond; Ridgecrest; Rio Vista; Rocklin; Roseville; Round Mountain; Sacramento; Salida; Salinas; San Bruno; San Carlos; San Francisco; San Francisco; San Jose; San Luis Obispo; San Mateo; San Rafael; San Ramon; San Ramon; Sanger; Santa Cruz; Santa Maria; Santa Nella; Santa Rosa; Selma; Shaver Lake; Sonoma; Sonora; South San Francisco; Springville; Stockton; Storrie; Taft; Tracy; Turlock; Twain; Ukiah; Vacaville; Vallejo; Walnut Creek; Wasco; Watsonville; West Sacramento; Wheatland; Whitmore; Willits; Willow Creek; Willows; Windsor; Winters; Woodland; Yuba City  Department OverviewThe aim of the Data Solutions team in the Wildfire Mitigation organization is to enhance the risk practices of PG&E’s Electric Operation business and thereby address changing external conditions such as climate change. To this end the Data Solutions team enhances and maintains predictive models of electric system failures. These models help to provide a multi-layered view of risk across the electric system so that decision-making processes include and empower employees at all levels of the company to manage risk appropriately.Sample activities include:Development of new Machine Learning (ML) models characterizing and predicting distribution and transmission electric system environmental conditions using remote sensing data.Development of end-to-end solutions that takes satellite imagery and derived products and transform them into analysis-ready insights, cloud optimized datasets accessible within distributed Spark environments.Support for stakeholders in how to integrate remote-sensing based features into downstream analysis and risk models. Position SummaryDesigns, develops, and executes scripts, programs, models, algorithms, and processes, using structured, unstructured and geospatial data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job.  The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.  Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors. Bay Minimum: $140,000Bay Maximum: $238,000 &/OR CA Minimum: $133,000CA Maximum: $226,000 This job is also eligible to participate in PG&E’s discretionary incentive compensation programs.  Job Responsibilities Applies strong foundations of remote sensing and advanced techniques in image analysis, geospatial analytics, machine learning, and deep learning to extract insights from complex imagery datasets (e.g. multispectral, lidar, SAR).Design and develop production-quality spatial algorithms to extract, validate, and enrich features from remote sensing, derived imagery, and enterprise geospatial datasets.Build and operate scalable, cloud-native geospatial and ML pipelines for imagery ingestion, preprocessing, feature engineering, and delivery of production-ready outputs across large spatiotemporal datasets.Engineer and optimize cloud-based geospatial and ML workflows using distributed processing frameworks to balance performance, cost, and reliability for batch and large-scale workloads.Develop and maintain reusable, well-documented Python geospatial codebases and data catalogs, leveraging cloud-optimized formats and STAC-compliant architectures to ensure efficient access, processing, and reproducibility.Researches and applies advanced knowledge of existing and emerging geospatial data science principles, theories, and techniques to inform business decisions.Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data setsExtracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineeringApplies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development. Wrangles and prepares data as input of machine learning model development and feature engineering Writes and documents reusable python functions and modular python code for data science.Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.Presents findings and makes recommendations to senior management.Act as peer reviewer of complex models   QualificationsMinimum: Bachelor’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.6 years in data science OR no experience, if possess Doctoral Degree or higher, as described above.Desired: Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience.Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience4+ years of python programming experienceProven experience and working knowledge of geospatial and remote sensing imagery data, with a focus on vegetation and environmental data.Proven experience with methods and tools of geospatial data processing.Experience writing software to extract features from remote sensing imagery data, time-series, or large-scale vector and raster datasets. Familiarity with cloud computing platforms and distributed processing frameworks to support geospatial and remote sensing scalable analytics Experience with foundation models, machine learning or computer vision to transform imagery into intelligence.Active participation in the external geospatial data science/artificial intelligence/machine learning community through publications, conferences, or open-source contributions.Competency with data science standards and best practices (model evaluation, feature engineering, reproducibility, deployment pipelines).Competency with commonly used data science and/or operations research programming languages, packages, and tools for building data science/machine learning models and algorithms  Proficiency in explaining complex technical concepts across geospatial analytics, machine learning, and data engineering to both technical and non-technical audiencesStrong communication skills and ability to mentor and develop others

Provide Advisory & Assistance Services (A&AS) to the United Operational Test Team (UOTT) and the Air Dominance Division shaping and managing the end-to-end data infrastructure and analytic processes that drive operational test and evaluation (OT&E). Activity will involve developing and overseeing data requirements, procedures, and governance building and maintaining analysis tools, managing test data, and producing high-impact technical deliverables. In addition, you will lead efforts to develop, coordinate, and sustain a unified data-analysis toolset across AFOTEC Detachment 6 sites, ensuring consistent and efficient analytics across the enterprise.Essential Job Functions:Primarily assist Operations and Data Analysts in managing and improving data workflows by organizing data, streamlining database processes, and optimizing tools on existing data infrastructures. Ensures efficient data movement between test sites. Supervises and monitors the technical deployment of data analysis networks, troubleshooting issues and ensuring alignment with data analysis requirements. Identifies and addresses potential bottlenecks in data analysis network performance and collaborate with cyber security and network engineering teams to integrate new software and procedures to improve data processes.Required Skills:Due to the sensitivity of customer related requirements, U.S. Citizenship is required.High School diploma/GED and 20 years of relevant data analysis experience, an Associate's degree plus 14 years, or a Bachelor’s degree plus 12 years of relevant experience.Active Top Secret security clearance required.Technical Skills:Proficiency in SQL for data querying and manipulation.Experience with Microsoft SQL Server, PostgreSQL, Apache Spark and Hadoop for processing large datasets.Proficiency in Python and VBA for data analysis, scripting, automation, and reporting dashboard tools.Operational Test & Domain Knowledge:Minimum of 5 years of experience in Air Force or Navy operations and tactics.Demonstrated knowledge of fighter aircraft and operational testing methodologies.Familiarity with Air Force Instructions (AFIs), AFMAN 91-201, DoDI 6055.9, and other applicable instructions and standards related to operational testing.Ability to create and execute data management strategies that align with Operational Test analysis requirements.Documentation & Communication:Experience developing test plans, test reports, and other formal technical documents.Strong written and verbal communication skills.Experienced in leadership and management, essential for collaborating with teams and stakeholders.7640

Drillmar Resources are currently recruiting for experienced Data Engineers for upcoming work in March 2026.  Applicants must have prior experience working in one or more of the above positions and hold the following valid certification: OPITO Offshore Survival (BOSIET/FOET) with CA-EBS OPITO Minimum Industry Safety Training (MIST) OGUK Medical with Bideltoid Measurements Please note: Only candidates who meet both the experience and certification requirements can be considered. Unfortunately, we are unable to progress applications or retain details on file from applicants who do not meet the above criteria.

We are currently recruiting for a Contract Data Scientist to support an innovative engineering-focused organisation operating within a fast-paced R&D environment. This is an excellent opportunity for a hands-on data specialist with strong MATLAB expertise who enjoys working closely with engineering teams to drive product development through high-quality data analysis. The Role As a Contract Data Scientist, you will play a key role in supporting engineering development activities through advanced data analysis and tool development. You’ll be working with scientific and test-generated data, helping translate complex datasets into meaningful insights that directly inform product and application improvements. This position requires someone confident working autonomously, enhancing existing analytical frameworks, and collaborating with multidisciplinary engineering teams. Key Responsibilities Develop, write, and maintain robust MATLAB analysis scripts and tools Analyse complex datasets generated from scientific and engineering test environments Utilise and enhance existing internally developed MATLAB scripts to support ongoing engineering development Identify opportunities to optimise, refine, and improve current data analysis methodologies Support Test and Applications Engineers with data interrogation, validation, and insight generation Present analytical findings clearly to technical stakeholders Operate effectively within a fast-paced, iterative engineering development setting Required Experience & Skills Strong proficiency in MATLAB, including script development and tool creation Proven experience analysing scientific or engineering test data Ability to understand experimental methodologies and interpret technical datasets Experience improving or building scalable analysis workflows Comfortable working closely with engineering teams to solve practical development challenges Strong problem-solving skills and attention to detail Able to manage priorities in a dynamic R&D environment Desirable Experience Background in scientific instrumentation, sensors, electronics, or similar technical fields Experience validating data quality and supporting product verification processes Exposure to structured development environments or regulated industries This contract would suit a proactive and technically strong Data Scientist who thrives on solving complex engineering problems and contributing directly to product innovation.

Job Title: Data Engineer (Talend & Unix Specialist) Location: Telford (Hybrid - occasional onsite workshops, ~2 days/month in Telford) Rate: Up to £450/day inside IR35 Security Clearance: Active SC Role Overview We are seeking an experienced Data Engineer to design, build, and support robust data integration and ETL solutions within a secure government environment. The role focuses on delivering scalable, performant data pipelines and ensuring high service reliability across critical data platforms. Key Responsibilities Design and implement secure, scalable data integration and ETL solutions using Talend and UnixBuild and maintain data pipelines (ingestion, transformation, curation) with monitoring, alerting, and SLA adherenceCollaborate with stakeholders to define requirements aligned to non-functional requirements (performance, cost, security)Support incident resolution and ensure service continuityContribute to Agile delivery ceremonies and cross-functional team collaborationMentor team members and share technical knowledge Essential Skills TalendUnixOracle SQLAgile delivery (Scrum/Kanban)Jira & Confluence Desirable Skills Oracle PL/SQLAWSGitLabVaultDenodoData modelling & design (HLD/LLD)Test automation frameworksArtifactoryBerlin JobSchedulerKnowledge of D4D development lifecycle If this Data Engineer role is of interest, apply now or email your CV to me at laura.fitzgerald@cbsbutler.com

Data Scientist - Consumer Analytics India Apply now   Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.   Tasks: Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)  Analyzing and interpreting the findings  Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes   Pre-sales activities (at senior consultant level)    What We're Looking For:     Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)  Familiarity with customer analytics DS concepts or advanced forecasting  Model hyperparameter tuning  Model validation frameworks    Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation  Previous experience in an analytical role supporting business will be a plus  Fluency in Python, basic working knowledge of SQL  Knowledge of specific DS/ML libraries  Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)     Nice To Have: Understanding of Causal machine learning  Experience in working with big data and distributed environments would be a plus  Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus  Experience with OOP in Python  Experience with MLOps  Familiarity with other languages R, Scala would be a plus    General:  Basic computer programming skills and familiarity with programming concepts   Strong business acumen  Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems  Ability to come up with creative solutions to address customer problems   Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.   We offer: Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites. “Office as an option” model. You can choose to work remotely or in the office, depending on your location.   Flexibility regarding working hours and your preferred form of contract.   Comprehensive online onboarding program with a “Buddy” from day 1.    Cooperation with top-tier engineers and experts.   Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly.  Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Internal Gallup Certified Strengths Coach to support your growth. Grow as we grow as a company. 76% of our managers are internal promotions.   A diverse, inclusive, and values-driven community.    Autonomy to choose the way you work. We trust your ideas.   Create our community together. Refer your friends to receive bonuses.   Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment.   Modern office equipment. Purchased for you or available to borrow, depending on your location. Share:

Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year. Our mission is to continue to improve our ad-tech platform, especially the core of it, our algorithms, to help our clients achieve their programmatic advertising campaign goals. We want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact. We are looking for a Growth Data Scientist to work closely with internal and external teams to help advertisers achieve their business goals and improve the effectiveness of Smadex Ads. The candidate should be communicative and analytical, in order to answer the complex questions that Product and Campaign performance are facing. For this purpose we use tons of data available to get powerful insights to resolve them, creating effective strategies to help improve the Smadex platform!  This is a full-time position based in Barcelona. Your tasks and responsibilities: Dive deep into complex datasets, covering the behavior of millions of users and apps worldwide, to extract actionable learnings that inform high-level strategy and stakeholder understanding Partner with business and technical teams to drive rigorous analysis and testing, identifying key opportunities to maximize the performance and effectiveness of Smadex campaigns. Collaborate with stakeholders to channel market insights and performance data into our roadmap, directly influencing Product and ML strategies to enhance our platform's capabilities. Skills and requirements: +3 years of experience as a Data Analyst / Data Scientist Bachelor's or Master's Degree in a Quantitative Field (Engineering, Statistics, Mathematics, Data Sciences,.) Strong problem-solving skills, ability to formulate questions, run analysis to articulate a recommendation. Proven working knowledge of Python, SQL and large data sets, understanding of analytic methodologies for data evaluation. Excellent verbal and written communication skills, with the ability to present analysis and conclusions. Strong knowledge and experience of statistical concepts and hypothesis testing. Knowledge of the ad-tech industry is a plus. Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered. What is in it for you: Integrate a highly motivated and young team. Great compensation package. Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge. Work from home: 2 days/week Private Health Insurance Access to LinkedIn Learning Meal vouchers - Tickets Restaurant monthly allowance. Monthly gym allowance: Choose between DiR Gym and Wellhub Monthly TGIF events. Regular team-building events. Fun and friendly work environment with talented marketers and engineers from over 40+ countries And more!