Role overview
This is a remote position.
We are looking for a Data Scientist to join an enterprise analytics and optimisation platform within a global banking environment. The role focuses on portfolio optimisation, pricing, capital allocation, and customer lifetime value analytics across multiple markets and product lines.The platform combines portfolio performance data, customer behaviour signals, and macroeconomic indicators. Analytical outputs are consumed by business, finance, and strategy teams as well as by GenAI-driven reasoning workflows. The environment operates at enterprise scale with structured governance and continuous model industrialisation.
What you'll work on
- Develop portfolio optimisation and customer lifetime value models
- Analyse customer behaviour, profitability drivers, and retention patterns
- Apply statistical modelling, machine learning, and optimisation techniques
- Translate strategic business questions into structured analytical solutions
- Prepare and validate datasets for modelling and scenario analysis
- Collaborate with finance, pricing, and strategy stakeholders
- Expose analytical outputs to downstream systems and LangChain / LangGraph pipelines
- Ensure model robustness, consistency, and governance alignment
What we're looking for
- Experience in banking, financial services, or portfolio analytics
- Exposure to pricing, capital allocation, or customer value modelling
- Experience integrating analytical outputs into automated decision workflows
- Familiarity with LangChain and LangGraph for analytical orchestration
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Machine Learning Data Science Ai