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Product Data Analyst- Pensions

Lorien
Posted 16 days ago, valid for 5 days
Location

London, Greater London EC1R 0WX

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

info
  • We are seeking a Senior Data Scientist with workplace pension experience for a 6-month contract with one of our Insurance clients.
  • The role requires at least 5 years of experience in data science, with a focus on developing data models and analytics frameworks.
  • The position offers a competitive salary of £70,000 per annum, inside IR35, and allows for hybrid working arrangements.
  • Key responsibilities include analyzing user journeys, developing predictive models, and collaborating with product teams to enhance user engagement.
  • Candidates should have strong SQL and Python or R skills, experience with product analytics platforms, and a solid understanding of workplace pensions.

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.

Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.