Data Scientist – Portfolio Optimisation and Customer Analytics

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. Responsibilities
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
Requirements

Strong hands-on experience in Data Science and advanced analytics Proficiency in Python and common data science libraries (Pandas, NumPy, scikit-learn)
Proficiency in Python and common scientific libraries (Pandas, NumPy, SciPy, scikit-learn)
Experience with time series modelling and optimisation techniques
Strong SQL skills and ability to work with large analytical datasets
Experience working on analytics platforms such as Databricks or similar
Ability to translate business objectives into quantitative models
Experience working in structured enterprise environments
Fluent English for professional collaboration
Nice to have
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
Benefits

Solid, competitive salary
Work in a multinational environment on international projects
Comprehensive healthcare
Long-term B2B contract with a stable project pipeline
Remote work model


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