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Data Scientist – Portfolio Optimisation and Customer Analytics
JOB SUMMARY
Skills & Technologies
Job details
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 al
location
, 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. ResponsibilitiesDevelop portfolio optimisation and customer lifetime value modelsAnalyse customer behaviour, profitability drivers, and retention patternsApply statistical modelling, machine learning, and optimisation techniquesTranslate strategic business questions into structured analytical solutionsPrepare and validate datasets for modelling and scenario analysisCollaborate with finance, pricing, and strategy stakeholdersExpose analytical outputs to downstream systems and LangChain / LangGraph pipelinesEnsure 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 techniquesStrong SQL skills and ability to work with large analytical datasetsExperience working on analytics platforms such as Databricks or similarAbility to translate business objectives into quantitative modelsExperience working in structured enterprise environmentsFluent English for professional collaborationNice to haveExperience in banking, financial services, or portfolio analyticsExposure to pricing, capital al
location
, or customer value modellingExperience integrating analytical outputs into automated decision workflowsFamiliarity with LangChain and LangGraph for analytical orchestration
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
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 al
location
, 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. ResponsibilitiesDevelop portfolio optimisation and customer lifetime value modelsAnalyse customer behaviour, profitability drivers, and retention patternsApply statistical modelling, machine learning, and optimisation techniquesTranslate strategic business questions into structured analytical solutionsPrepare and validate datasets for modelling and scenario analysisCollaborate with finance, pricing, and strategy stakeholdersExpose analytical outputs to downstream systems and LangChain / LangGraph pipelinesEnsure 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 techniquesStrong SQL skills and ability to work with large analytical datasetsExperience working on analytics platforms such as Databricks or similarAbility to translate business objectives into quantitative modelsExperience working in structured enterprise environmentsFluent English for professional collaborationNice to haveExperience in banking, financial services, or portfolio analyticsExposure to pricing, capital al
location
, or customer value modellingExperience integrating analytical outputs into automated decision workflowsFamiliarity with LangChain and LangGraph for analytical orchestration
Benefits
Solid, competitive salaryWork in a multinational environment on international projectsComprehensive healthcareLong-term B2B contract with a stable project pipelineRemote work model.
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The company
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Madiff United States
