Senior Data Scientist

Lorien
London
3 weeks ago
Applications closed

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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.

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