Senior Data Scientist – Customer & Behavioural Analytics
£70,000 – £80,000 + Bonus + Benefits
Hybrid Working – 1 day in the office circa every 2 weeks.
Role Summary
We are seeking a commercially minded Senior Data Scientist to lead the development of advanced analytics and machine learning solutions focused on customer behavior, personalization, and lifecycle management. Your work will directly impact customer retention, engagement, and lifetime value, helping the business make smarter, data-driven decisions at scale.
Key Responsibilities
1. Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization
2. Build and maintain predictive models ( churn, CLV, next-best action, recommendation systems) and translate insights into business value
3. Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention
4. Partner with Marketing, Product, and Customer Success to optimize campaigns, targeting strategies, and user engagement
5. Own the end-to-end lifecycle of models: from problem framing to deployment and monitoring
6. Present analytical findings and strategies to stakeholders in a compelling and actionable way
7. Mentor junior data scientists and contribute to the evolution of data science standards and practices
Key Skills & Technologies
Technical:
8. Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.)
9. Proficient in SQL for complex customer data extraction and manipulation
10. Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling
11. Familiarity with BI tools ( Tableau, Power BI) for communicating customer insights
12. Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc.
13. Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines ( Airflow, dbt) is a plus
Soft Skills:
14. Business-oriented thinker with strong communication skills
15. Able to clearly explain complex models to non-technical audiences
16. Skilled in stakeholder engagement and translating analytics into action
17. Curious, collaborative, and proactive in driving change
Qualifications
18. 7+ years in data science or analytics with a strong focus on customer behavior
19. MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math)
20. Proven track record of creating measurable business value through customer-focused models and analytics
21. Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage
Nice to Have
22. Experience with NLP for customer feedback or support ticket analysis
23. Exposure to MLOps for model deployment and monitoring
24. Familiarity with tools like Amplitude, Mixpanel, or Google Analytics
Why Join Us?
25. Shape data-driven strategy for how we understand and engage with our customers
26. Collaborate with cross-functional teams and influence C-level decision-making
27. Work in a high-impact, fast-paced environment where your work matters
28. Supportive and innovative data culture with continuous learning opportunities
Please do send across to me the most up to date CV to
*Rates depend on experience and client requirements