Senior Data Scientist

Job Description

Senior Data Scientist- Pensions

We are currently recruiting for a Senior Data Scientist with workplace pension experience to join one of our Insurance clients on a 6-month contract.

Inside IR35

Hybrid

Responsibilities:

• Own the development and implementation of data models, analytics frameworks, and experimentation strategies across the platform.
• Analyze user journeys and behavioral data across tenants to uncover insights that inform product and engagement strategies.
• Develop segmentation and predictive models to support personalization and proactive member engagement based on demographics, behavior, and interaction activities etc.
• Design and analyze experiments (A/B testing, cohort studies) to assess feature effectiveness and improve user engagement.
• Collaborate closely with product managers, designers, and engineering to define KPIs, track product performance, and identify growth opportunities.
• Create dashboards and self-serve analytics tools to empower internal teams with real-time insights.
• Mentor and coach junior data team members, fostering their growth in analytics, modeling, and communication.
• Contribute to and uphold best practices in data quality, governance, and compliance, especially within the financial services sector.

Skills

• Strong SQL skills and experience working with large, complex data sets.
• Proficiency in SQL and Python or R, with hands-on experience in machine learning, predictive modeling, and statistical analysis.
• Proven experience working directly with product analytics platforms like Mixpanel, Amplitude, or similar tools.
• Experience with data visualization and BI tools (e.g., Looker, Power BI, Tableau).
• Solid grasp of statistics, experimentation design, and causal inference techniques.
• Excellent communication and stakeholder management skills—able to influence and align diverse teams.
• Demonstrated team leadership or people management experience.
• Experience working with multi-tenant platforms or white-labelled products.
• Understanding of workplace pensions, retirement planning, or financial wellbeing solutions.
• Familiarity with event tracking and user behavior tools (e.g., Amplitude, Mixpanel, Segment).
• Knowledge of privacy regulations and data handling best practices in financial services.