Data Scientist

7 days ago


Taguig, Philippines WTW Full time

WTW Taguig, National Capital Region, Philippines

Overview

Join to apply for the Data Scientist role at WTW

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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 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.
Qualifications
  • 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

Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering and Information Technology

Information about other locations and posting dates in this page may be omitted for clarity.

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