Data Scientist

The Role 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 digital product development 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. The Requirements 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 . WTW is an Equal Opportunity Employer #J-18808-Ljbffr