Data Scientist – Portfolio Optimisation, Customer Analytics

🕒 February 13

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Madiff

51 - 200 employees

Founded 2015

🤝 B2B

🤖 Artificial Intelligence

B2B • Software Development • Artificial Intelligence

Madiff is a technology and consulting company specializing in IT services and digital innovation. They provide a range of solutions, including software development, agile team services, and IT consulting across various industries. With a focus on delivering high-quality, multi-skilled remote teams, Madiff aims to enhance business performance and support clients in navigating the complexities of their respective markets.

📋 Description

• 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) • 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 • 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; 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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