Job Title

Senior Data Scientist- PensionsWe 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 IR35HybridResponsibilities: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 skillsable 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.