Data Scientist Associate

Job responsibilities:

• Deliver high-quality analyses and models, and participate in peer reviews to improve analytical quality and communication.

• Partner with cross-functional stakeholders to translate business questions into hypotheses, success metrics, and decision-ready recommendations (with support from senior team members).

• Support measurement for key customer journeys and commercial outcomes, with an emphasis on customer behaviour and profitability (e.g., engagement, retention, cross-sell, unit economics).

• Design, execute, and evaluate experiments (A/B and other controlled tests): define test plans, guardrails, basic sample sizing considerations, and interpret results with appropriate uncertainty.

• Apply statistical methods to quantify impact and drivers (e.g., segmentation, cohorting), and clearly communicate trade-offs and limitations.

• Build, validate, and maintain lightweight predictive models to support decisions (e.g., churn risk/retention targeting, response propensity, customer value proxies), prioritizing interpretability, stability, and measurable lift under guidance and with appropriate review.

• Follow and contribute to best practices for reproducible analysis and experimentation (documentation, code review norms, clear metric definitions).

• Collaborate with cross-functional partners (data engineering, analytics engineering, ML engineering, dashboard developers) to ensure data is fit-for-purpose for analysis/experimentation and insights are operationalised.

• Communicate insights in compelling narratives for both technical and non-technical audiences influence roadmap and business decisions inform roadmap and business decisions through evidence.