Lead Data Scientist – commercial
Brighton / £85000 - £90000 annum
INFO
SALARY:
£85000 - £90000
LOCATION
Brighton
Permanent
This is a important, commerical Lead Data Scientist role within a fast-growing, product-led environment that is redefining how data drives commercial outcomes. The position sits at the intersection of product, analytics and AI, focusing on identifying the right problems to solve, quantifying opportunities and delivering measurable business impact.
The Company
They are an international, product-led digital platform operating across multiple regions, with a strong focus on customer experience, sustainability and innovation. Data and AI sit at the core of their growth strategy, supported by a modern data stack, strong documentation and executive buy-in. The business is evolving into a more decentralised data model, embedding decision-makers directly within product teams. This creates a highly collaborative environment where data professionals have direct influence on product direction and commercial outcomes.
The Role
- Act as the data voice within product teams, shaping decisions from ideation through to delivery
- Identify and define key business problems, with a focus on commercial impact and customer outcomes
- Conduct opportunity sizing, exploratory analysis and deep-dive product analytics
- Design and implement experiments, including A B testing and post-test analysis
- Define success metrics, dashboards and measurement frameworks with product stakeholders
- Translate analysis into clear recommendations that influence investment decisions
- Collaborate with engineering and data teams to build data-driven product features
- Apply light touch data science techniques such as segmentation, forecasting and recommendation approaches
- Use AI and emerging technologies to prototype and enhance product capabilities
- Balance analytical rigour with pace in a fast-moving, ambiguous environment
- Commercial experience using data to drive business decisions and measurable outcomes
- Proven ability to frame ambiguous problems and translate them into structured analytical approaches
- Experience in product/customer analytics, experimentation and statistical analysis
- Confident stakeholder manager with the ability to influence cross-functional teams
- SQL skills and working knowledge of a programming language such as Python or R
- Understanding of modern data platforms and dashboarding tools
- Strong grasp of experimentation design, including hypothesis testing and sample sizing
- Interest in AI and practical experience using data or AI tools to enhance workflows
- A product mindset, with the ability to connect data work to customer experience and revenue impact
- Competitive salary and comprehensive benefits package
- Clear progression opportunities as the data function continues to scale
- Dedicated learning and development support, including structured upskilling and training resources
- Opportunity to work on cutting edge AI and data-driven product initiatives
- Collaborative, inclusive environment with strong data foundations and leadership support
If you are interested in solving complex business problems and shaping product decisions through data, apply now to learn more.
CONTACT
Theenusa Satheeshkumar
Recruitment Consultant
SIMILAR
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Data Engineer
Dallas
$140000 - $160000
+ Data Engineering
Permanent
Dallas, Texas
Data Engineer
Location: Richardson, TX (Hybrid)
Compensation: $140,000-$160,000 Base + Annual Bonus + Comprehensive Benefits
About the Opportunity
A leading financial services organization is investing heavily in the modernization of its enterprise data platform and is looking for a Senior Data Engineer to join its growing Data Engineering team.
As a Data Engineer, you’ll help shape the future of a cloud-first data ecosystem supporting enterprise analytics, reporting, and data-driven decision making across a large, complex organization. You’ll partner with architects, engineers, and business stakeholders to build scalable, production-grade data solutions while helping establish engineering standards and best practices across the platform.
What You’ll Do
- Design, build, and optimize enterprise-scale ETL/ELT pipelines
- Develop modern cloud data solutions using AWS, Snowflake, dbt, and Fivetran
- Create scalable, reusable data models that power analytics and reporting
- Design high-performance Snowflake architectures with a focus on scalability, security, and cost optimization
- Build robust data transformations using SQL, Python, and PySpark
- Implement Infrastructure as Code using Terraform
- Develop CI/CD pipelines for automated deployment and testing of data assets
- Improve data quality, observability, governance, and operational monitoring
- Partner with engineering, architecture, security, and analytics teams to deliver enterprise data solutions
- Mentor other engineers and help establish engineering standards across the organization
What We’re Looking For
- 4+ years of Data Engineering experience
- Strong experience designing and building enterprise-scale data pipelines
- Hands-on expertise with Snowflake, dbt, and Fivetran
- Experience building cloud-native data platforms in AWS
- Advanced SQL and Python skills (PySpark preferred)
- Experience with Terraform and Infrastructure as Code
- Experience implementing CI/CD for data engineering workflows
- Strong understanding of modern data architecture, data modeling, and analytics engineering
- Excellent communication skills with the ability to collaborate across technical and business teams
Why Join?
- Highly visible role driving enterprise data transformation
- Modern cloud-native technology stack
- Opportunity to influence engineering standards and architecture
- Collaborative, innovation-focused engineering culture
- Competitive compensation, annual bonus, comprehensive benefits, and long-term career growth
Senior Machine Learning Engineer
Irvine
$180000 - $220000
+ Data Science & AI
Permanent
Irvine, California
To Apply for this Job Click HereWhat You’ll Do
- Evaluate existing machine learning models and identify performance improvement opportunities
- Train, test, deploy, and continuously refine production ML models
- Improve feature engineering, model architectures, prediction accuracy, and optimization performance
- Analyze large-scale datasets containing millions of records across multiple sources
- Design and execute experiments to validate model improvements
- Develop production-quality Python code and collaborate through code reviews and testing practices
- Translate insights from complex datasets into measurable product and business outcomes
- Monitor model effectiveness and evolve solutions as user behavior and market conditions change
- Partner with Product, Engineering, and Data teams to align machine learning initiatives with business objectives
What Success Looks Like
During the first several months, you will:
- Gain a deep understanding of existing machine learning systems and business objectives
- Analyze large and complex datasets to uncover optimization opportunities
- Improve prediction, ranking, recommendation, or optimization models
- Introduce enhanced features, architectures, and model configurations
- Deliver production-ready improvements that positively impact key performance metrics and revenue
Ideal Background
Successful candidates may come from backgrounds such as:
- Senior Machine Learning Engineer
- Applied Machine Learning Engineer
- Data Scientist with strong production ML experience
- Software Engineer specializing in Machine Learning
Experience in any of the following areas is highly valued:
- Advertising technology and optimization
- Ranking and bidding systems
- Recommendation engines
- Personalization systems
- Search and relevance algorithms
- Marketplace optimization
- User value prediction
- Large-scale forecasting and predictive systems
Candidates from consumer technology, marketplaces, digital products, or other large-scale data environments are encouraged to apply.
Required Qualifications
- 5+ years of industry experience in Machine Learning Engineering, Applied Machine Learning, or Data Science
- Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related technical field
- Strong Python programming skills with hands-on experience building ML solutions
- Advanced SQL skills, including complex joins, aggregations, and multi-source analysis
- Experience working with datasets containing millions of records
- Experience building, deploying, and optimizing production machine learning models
- Strong understanding of feature engineering and its impact on model performance
- Experience writing maintainable, testable, production-quality code
- Ability to operate independently and drive technical decisions
Preferred Qualifications
- Experience with optimization, ranking, recommendation, or personalization systems
- Background in advertising technology or digital monetization platforms
- Familiarity with feature stores and modern machine learning workflows
- Experience with cloud platforms and modern data technologies
- Knowledge of large-scale experimentation frameworks and model evaluation methodologies
To Apply for this Job Click Here
CRO Manager
Macclesfield
£55000 - £60000
+ Digital Analytics
Permanent
Macclesfield, Cheshire
To Apply for this Job Click HereCRO Manager
Macclesfield – Hybrid (2-3 Days Per Week)
£50k-£60k
I’m hiring a CRO Manager for one of the UK’s leading customer generation businesses, operating a portfolio of high-traffic digital brands across B2B and B2C markets.
This is a rare opportunity to build an in-house CRO function from scratch, taking ownership of experimentation strategy across multiple brands, products, and customer journeys while helping shape the future of optimisation within the business.
The company
A fast-growing performance marketing and technology business that owns and operates its own digital brands rather than acting as an agency.
Established in 2013, they’ve grown into an international organisation operating across the UK, USA, Canada, Australia, and France, generating high-intent leads through a combination of proprietary technology, data, and digital marketing.
With more than 40 products across multiple acquisition funnels and customer journeys, they have significant traffic volumes and enormous optimisation potential.
The opportunity
After investing in CRO through external consultants for the last two years, the business is now bringing the capability in-house for the first time.
Reporting directly into senior leadership, you’ll have full ownership of:
- The experimentation roadmap
- CRO strategy
- Testing framework and methodology
- Optimisation prioritisation
- Future team growth
This is a genuine greenfield role with strong executive support and a clear opportunity to build a team around you over time.
What you’ll be doing
- Own and develop the CRO roadmap across multiple digital brands
- Design, execute and analyse A/B and multivariate tests
- Build a scalable experimentation framework and testing culture
- Analyse customer behaviour and identify opportunities to improve conversion performance
- Partner with developers to implement experiments and winning variants
- Collaborate with PPC, Marketing, Product and Media Buying teams
- Measure and communicate the commercial impact of optimisation activity
- Prioritise initiatives based on business value and revenue opportunity
- Help establish and grow the company’s internal CRO capability
What they’re looking for
Must-haves
- 5+ years’ experience in Conversion Rate Optimisation
- Proven experience running end-to-end experimentation programmes
- Strong hypothesis generation and test design skills
- Experience withCRO platforms such as:
- Optimizely
- VWO
- Convert.com
- AB Tasty
- Similar tools
- Strong understanding of customer journey optimisation
- Experience working on high-traffic websites
- Excellent stakeholder management and communication skills
- Commercial mindset focused on measurable business outcomes
Nice to have
- Lead generation experience
- Agency experience
- Previous mentoring or management experience
- Experience helping build or mature an experimentation function
The team
Initially you’ll operate as an individual contributor with full ownership of experimentation.
You’ll work closely with:
- Marketing
- PPC
- Media Buying
- Product
- Development
The business already has strong development resources in place to support implementation, allowing you to focus on identifying and delivering high-impact opportunities.
Why this role
- Build an internal CRO capability from the ground up
- Own experimentation strategy across multiple brands
- Huge volumes of traffic and optimisation opportunities
- Strong backing from senior leadership
- Clear pathway into team leadership
- Genuine autonomy and ownership from day one
- Exposure across international markets
- Significant commercial impact
Package
- £50,000 – £60,000 salary
- Bonus scheme
- Hybrid working (3 days min per week in Macclesfield)
- Clear progression into leadership
- High levels of ownership and responsibility
Interview process
- Initial interview with Marketing Manager
- Practical task and presentation focused on experimentation strategy
- Final interview with senior leadership
To Apply for this Job Click Here
Lead Decision Scientist – (Experimentation)
London
£80000 - £90000
+ Advanced Analytics & Marketing Insights
Permanent
London
To Apply for this Job Click Here
Lead Decision Scientist (Experimentation)
Hybrid | Brighton | £90,000 Base
We’re partnering with a fast-growing, product-led technology business that is investing heavily in its Data & AI function. As the organisation evolves, they’re looking for a commercially minded Lead Decision Scientist to help shape product strategy through data-driven decision making.
This is an analytics-focused role where you’ll work closely with Product Managers and Engineering teams to identify opportunities, size business impact and influence where the business invests.
The Role
You’ll be responsible for:
- Identifying and solving high-value business problems through data.
- Conducting product and exploratory analysis to uncover opportunities.
- Designing and measuring experiments, including A/B testing.
- Defining success metrics and evaluating product performance.
- Translating analytical insights into clear commercial recommendations.
- Partnering with cross-functional teams to influence product decisions.
What We’re Looking For
- Experience in Product Analytics, Decision Science or Commercial Analytics.
- Strong SQL and analytical problem-solving skills.
- Experience designing and evaluating experiments.
- Excellent stakeholder management and communication skills.
- A commercial mindset with the ability to influence decision making.
- Comfortable working in fast-paced, ambiguous product environments.
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