60K–70K GBP / year
Data Scientist - UK
DataRemote — United Kingdom
Published on 2026-06-08
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About this role
A senior individual-contributor role applying statistics, experimentation, and machine learning to improve retail AI product performance. You will lead ambiguous analytical projects from problem definition through validation and rollout, influencing product and operational decisions.
About the company
Focal Systems uses computer vision and deep learning to automate shelf monitoring for brick-and-mortar retailers, reducing manual scanning and improving in-store operations.
The team
Analytics team
Stack
SQLPythonpandasNumPystatsmodelsSnowflakeSigmaLooker
What you'll do
- Lead analytical projects from problem framing through stakeholder rollout
- Build predictive and inferential models where they improve product or operational decisions
- Develop reusable methods to measure system performance and intervention impact
- Partner with Product, Engineering, and Operations on metrics and analytical work
- Audit system outputs and provide structured feedback to improve accuracy and reliability
- Communicate findings through dashboards, written analyses, and presentations
- Define best practices for data quality, experimentation, modeling, and reproducibility
What we're looking for
- 5+ years in data science, quantitative analysis, or a similar role
- Strong SQL skills, including CTEs, window functions, and query optimization
- Strong Python data skills, including pandas and NumPy
- Applied statistics knowledge, including hypothesis testing, regression, experimental design, and uncertainty quantification
- Experience designing and analyzing product A/B tests or other controlled experiments
- End-to-end experience building a predictive model
- Experience with data visualization and BI tools
- Strong communication, independent project management, and cross-functional influence
Nice to have
- Experience with Snowflake or a comparable cloud data warehouse
- Experience with Sigma, Looker, or similar BI tools
- Database engineering or architecture experience
- Retail, logistics, marketplace, or other operationally complex industry experience
- Experience mentoring analysts or junior data scientists
Benefits
- Stock options
- Generous paid time off
- Pension
- Sick leave
- Parental leave
- Learning and development budget