Data Scientist
London / £55000 - £65000 annum
INFO
£55000 - £65000
LOCATION
London
Permanent
London hybrid 2 days per week with flexibility for candidates based in the North | Salary up to £65,000
The Company
They are a UK based data and analytics consultancy that also develops proprietary data products. Combining rich data assets with advanced analytics and modelling expertise, they support organisations to make smarter, more targeted decisions. Their work spans sectors such as utilities, telecoms, financial services and not for profit organisations, with a strong focus on predictive modelling for marketing and customer insight.
The Role
- Build and refine predictive models, with a strong focus on propensity and scorecard style modelling.
- Translate client problems into analytical solutions through data discovery and stakeholder workshops.
- Work closely with subject matter experts, project managers and data analysts to deliver end to end projects.
- Train, test and optimise models, ensuring outputs are robust and commercially relevant.
- Present findings and recommendations to clients in a clear, engaging and non technical way.
- Contribute to reports, dashboards and insight packs that support client decision making.
- Strong commercial experience using Python and SQL for data analysis and modelling.
- Practical experience building and validating predictive models, ideally within customer or marketing analytics.
- Comfortable working with large datasets and translating patterns into actionable insight.
- Experience working with cloud based analytics platforms, with Databricks being a strong advantage.
- Confident communicator who enjoys working directly with clients and stakeholders.
- An analytical background with curiosity to explore data beyond the initial brief.
- Salary up to £65,000 depending on experience.
- Hybrid working model with two days per week in London and flexibility for Northern based candidates.
- Exposure to a wide range of industries and business problems.
- Clear progression within a growing data science function, working alongside experienced practitioners.
- The chance to develop both technical and client facing skills in a collaborative environment.
If you are a Data Scientist looking for a role that blends advanced analytics with real client impact, apply now to learn more.
CONTACT
Giulia Fronteddu
Recruitment Executive
SIMILAR
JOB RESULTS
Research Engineer
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Title: Research Engineer, Data
Location: USA Remote
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We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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- Proficiency with ML frameworks such as PyTorch or JAX
- Experience with distributed systems or compute tools (e.g., Ray, Kubernetes)
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Nice to Have
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If you’re interested in shaping the data that defines what AI models can learn and do, this is a unique opportunity to work at the forefront of multimodal AI.
Senior AI Software Engineer
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To Apply for this Job Click Here
Title: Senior AI Engineer
Location: Remote, United States
Compensation: Up to $240,000 + Equity
We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.
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- Make key architectural decisions across model infrastructure, tooling, and workflows
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- Exposure to LLM evaluation platforms or tooling
- Contributions to open source, research, or technical communities
If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.
To Apply for this Job Click Here
Research Engineer
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To Apply for this Job Click Here
Title: Research Engineer, GPU
Location: USA Remote
Compensation: Up to $400k + Equity
We’re partnered with a well-funded AI research company focused on building next-generation multimodal models for media and interactive experiences. Their work spans cutting-edge generative systems and is increasingly moving toward real-time, interactive environments, pushing beyond static outputs into dynamic, AI-driven applications.
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- Experience with mixed or low-precision techniques (FP8, INT8, BF16)
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- Strong interest in pushing the limits of performance for cutting-edge AI systems
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- Background working on large multimodal or generative models
- Exposure to real-time inference systems
If you’re interested in working on the systems that enable next-generation AI models to train faster and run in real time, this is a rare opportunity to operate at the cutting edge of research and infrastructure.
To Apply for this Job Click Here
Staff AI Software Engineer
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To Apply for this Job Click Here
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Location: Remote, United States
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We’re partnered with a high-growth, mission-driven SaaS company transforming how businesses build and maintain trust, with AI at the core of their next phase of innovation. The platform is redefining how critical enterprise workflows are automated, particularly in areas where reliability, auditability, and security are essential.
This is a high-impact role where you will help define how AI is architected across the company. You won’t just be building features. You’ll make foundational decisions around systems, evaluation, and long-term technical direction, working across LLMs, retrieval systems, and agent-based workflows in production environments.
What You’ll Do
- Design and own production AI systems end-to-end, including LLM pipelines, retrieval systems, and orchestration layers
- Build and scale RAG systems, reranking pipelines, and vector-based search infrastructure
- Define evaluation frameworks to measure retrieval quality, reasoning accuracy, and system performance
- Analyze production behavior, identify failure modes, and drive improvements based on data
- Make key architectural decisions across model infrastructure, tooling, and workflows
- Partner closely with product, platform, and domain teams to translate complex requirements into scalable systems
- Lead best practices for building reliable, observable, and cost-efficient AI systems
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- 10+ years of software engineering experience, including 3+ years working on ML or AI systems
- Proven experience owning and deploying production LLM systems
- Strong background in RAG, embeddings, reranking, and vector databases (e.g., Pinecone, FAISS, Chroma)
- Experience designing evaluation systems and improving models through quantitative analysis
- Strong Python skills, with solid software engineering fundamentals
- Experience making architectural decisions that influence team or org direction
- Strong understanding of production systems, including reliability, observability, and cost tradeoffs
- Ability to break down ambiguous problems and operate with a high degree of ownership
- Clear communication skills and experience working cross-functionally
Nice to Have
- Experience in regulated domains such as compliance or security
- Familiarity with data platforms or analytics tooling
- Experience with orchestration frameworks (e.g., Temporal, Airflow)
- Exposure to LLM evaluation platforms or tooling
- Contributions to open source, research, or technical communities
If you’re interested in shaping how AI systems are built, evaluated, and deployed in high-trust environments, this is an opportunity to have direct influence on both technical direction and real-world impact at a fast-growing company.
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