Data Scientist

• 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., A leading water utility provider in the UK is seeking a skilled Portfolio Revenue & Debt Data Scientist to enhance credit risk analytics within the dynamic Credit Risk team. The role involves analyzing customer portfolio trends, developing predictive models, and influencing..., Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a..., A leading water and wastewater company in the UK is seeking a skilled Portfolio Revenue & Debt Data Scientist to enhance credit risk analytics. This role focuses on developing predictive models and refining data strategies. Applicants should have proven SQL proficiency,...

• 10+ years of experience in data science, analytics, or related roles-ideally within fintech, pensions, insurance, or employee benefits domains.
• 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.

Bonus Points for:

• 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.

If you're a Senior Product-focused Data Scientist with multi-tenant platform + product analytics + financial services experience, we'd love to hear from you. Similar jobs

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