Data Scientist - Customer Behavioural, Churn, CLV - London

£70,000 - £80,000 + Bonus + Benefits

Hybrid Working - 1 day in the office circa every 2 weeks.

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.

• Lead customer-centric analytics projects across retention, segmentation, churn prediction, product usage, and personalization
• Build and maintain predictive models (e.g. churn, CLV, next-best action, recommendation systems) and translate insights into business value
• Conduct deep-dive analyses into customer journeys, identifying behavioral trends and opportunities for intervention
• Partner with Marketing, Product, and Customer Success to optimize campaigns, targeting strategies, and user engagement
• Own the end-to-end lifecycle of models: from problem framing to deployment and monitoring
• Present analytical findings and strategies to stakeholders in a compelling and actionable way
• Mentor junior data scientists and contribute to the evolution of data science standards and practices

Technical:

• Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.)
• Proficient in SQL for complex customer data extraction and manipulation
• Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B testing, uplift modeling
• Familiarity with BI tools (e.g. Tableau, Power BI) for communicating customer insights
• Comfortable working with large datasets from sources like CRM, web analytics, product telemetry, etc.
• Exposure to cloud platforms (AWS, GCP, Azure) and modern data pipelines (e.g. Airflow, dbt) is a plus

Soft Skills:

• Business-oriented thinker with strong communication skills
• Able to clearly explain complex models to non-technical audiences
• Skilled in stakeholder engagement and translating analytics into action
• Curious, collaborative, and proactive in driving change

• 7+ years in data science or analytics with a strong focus on customer behavior
• MSc or PhD in a quantitative field (Statistics, Data Science, Computer Science, Applied Math)
• Proven track record of creating measurable business value through customer-focused models and analytics
• Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage

• Experience with NLP for customer feedback or support ticket analysis
• Exposure to MLOps for model deployment and monitoring
• Familiarity with tools like Amplitude, Mixpanel, or Google Analytics

• Shape data-driven strategy for how we understand and engage with our customers
• Collaborate with cross-functional teams and influence C-level decision-making
• Work in a high-impact, fast-paced environment where your work matters
• 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