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

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

Key Skills & Technologies

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

Qualifications

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

Nice to Have

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

Why Join Us?

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

Data Scientist - Customer Behavioural, Churn, CLV - London