Data Scientist - Portfolio Optimisation and Customer Analytics
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Develop portfolio optimisation and customer lifetime value models
- check_circle Analyse customer behaviour, profitability drivers, and retention patterns
- check_circle Apply statistical modelling, machine learning, and optimisation techniques
- check_circle Translate strategic business questions into structured analytical solutions
- check_circle Prepare and validate datasets for modelling and scenario analysis
- check_circle Collaborate with finance, pricing, and strategy stakeholders
- check_circle Expose analytical outputs to downstream systems and LangChain / LangGraph pipelines
- check_circle Ensure model robustness, consistency, and governance alignment
Basic qualifications
- 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
Preferred qualifications
- 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
- check_circle Solid, competitive salary
- check_circle Work in a multinational environment on international projects
- check_circle Comprehensive healthcare
- check_circle Long-term B2B contract with a stable project pipeline
- check_circle Remote work model
Tags & Focus Areas
Fulltime Remote Machine Learning Data Science Ai