Data Scientist – Customer Behavioural, Churn, CLV – London
- London
- £60,000-80,000 per year
- Permanent
- Full-time
- 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
- 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
- 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