Data Science and Insight Lead
About this role
Job Title: Data Science and Insight Lead
Recruiter: Supportive Bridge Staffing Agency (recruiting on behalf of our client)
Location: Greggs House, Quorum Business Park, Newcastle Upon Tyne (NE12 8BU), United Kingdom
Pay Rate: Circa £70,000 per annum (depending on experience)
Pay Frequency: Annual / Monthly
Contract Type: Permanent
Hours: Full-Time, Monday to Friday (Flexibility offered to support work-life balance)
Closing Date: 13 November, 2026
About Supportive Bridge Staffing Agency
At Supportive Bridge Staffing Agency, we connect outstanding leadership, data science, and commercial analytics talent with top-tier UK employers. We specialize in matching candidates with inclusive, forward-thinking organizations where professionals are empowered to innovate, lead high-performing teams, and drive strategic growth.
We are currently recruiting a Data Science and Insight Lead on behalf of a leading national retail brand within their central Customer team in Newcastle Upon Tyne.
About the Role
As the Data Science and Insight Lead, you will play a central role in transforming customer data into powerful, actionable strategic insight. Reporting within the Customer leadership structure, you will lead advanced analytics, predictive modeling, and experimentation initiatives to deepen customer understanding, increase visit frequency, enhance loyalty, and directly optimize commercial performance.
You will act as the key interface between complex data environments and senior leadership, turning analytical findings into clear strategic recommendations for Marketing, Commercial, Digital, Retail, and Finance teams.
Key Responsibilities
Customer Insight & Advanced Analytics: Lead the development of customer behavioral insights; perform segmentation, cohort analysis, customer lifetime value (CLV) evaluation, churn modeling, and retention tracking.
Commercial & Personalization Strategy: Drive initiatives that optimize customer engagement, enhance personalized communications, and measure the incrementality of marketing and pricing actions.
Executive Stakeholder Influence: Translate complex technical data into clear, high-impact business recommendations for C-suite and departmental leaders across Marketing, Commercial, Digital, and Finance.
Experimentation & Testing: Design, evaluate, and embed rigorous A/B testing methodologies and statistical frameworks to ensure robust measurement of business impacts.
Team Leadership & Capability: Recruit, mentor, and lead a high-performing analytics and data science team, cultivating a culture of technical rigor, curiosity, and continuous improvement.
Candidate Requirements
Education & Qualifications: Degree or equivalent qualification in a numerate or analytical discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Economics).
Technical Proficiency: Expert-level SQL skills for working with large, complex datasets; extensive experience building interactive dashboards and reporting systems.
Analytical Expertise: Proven track record in retail, digital, loyalty, or subscription-based customer analytics (CLV, churn modeling, propensity, segmentation, A/B testing).
Leadership & Influence: Demonstrated success leading, coaching, and developing data science or analytics teams, alongside a confident ability to influence senior business stakeholders.
Desirable Skills: Experience with Python or R, cloud platforms (Snowflake, BigQuery, Databricks), CRM/app analytics tools, and predictive modeling (propensity, next-best-action).
Benefits & Perks
Competitive Executive Compensation: Circa £70,000 annual salary + Management Bonus Scheme (up to 17.5%).
Company Car Benefits: Company car or executive car allowance included.
Health & Life Insurance: Free Private Medical Insurance (with subsidised family cover), Income Protection, and Death in Service benefit (4x annual salary).
Profit Share Scheme: Share in 10% of annual company profits distributed to colleagues with 6+ months of service.
Generous Annual Leave: 25 days holiday (plus bank holidays), increasing with service, 1 floating day, and option to purchase additional leave twice yearly.
Pension & Share Plans: Matched pension contributions up to 7% and discounted colleague share purchase plans.
Generous Colleague Discounts: Up to 50% discount on company products, plus digital shopping gift card discounts and cashback options.
Total Wellbeing App: 24/7 Virtual GP, physiotherapy, and confidential Employee Assistance Helpline (EAP) for mental, legal, and financial guidance.