Graduate
Core
Build predictive models and decision-grade signals to improve customer understanding and commercial outcomes across the full customer journey.
Role type
Data Scientist (Commercial Analytics & Data Science)
Builds
Reusable, governed, high-quality data products and predictive models for customer analytics
Domain
Automotive / Commercial Data Science
Deliverable
production ML models
Required skills
applied machine learning for customer analytics, statistical foundations, Python for data science, SQL, large-scale data platform experience
Preferred skills
time-to-event/survival analysis, uplift modeling, causal inference, model deployment and monitoring, feature stores, MLOps, Customer 360 concepts
Technologies
Python (pandas, scikit-learn), SQL, Snowflake
Responsibilities
Build and maintain predictive models for churn, propensity, and segmentation; translate business questions into measurable modeling targets; engineer features from enterprise datasets; partner with stakeholders to activate model outputs; productionize models with documentation and governance; contribute to the long-term customer analytics roadmap
Seniority
Graduate / Entry-level
