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 [link removed] 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

Originally posted on Himalayas