Is the Data Scientist – Portfolio Optimisation and Customer Analytics position at Madiff fully remote?

Yes, this Data Scientist – Portfolio Optimisation and Customer Analytics position at Madiff is fully remote and you can work from anywhere in the world.

What benefits does Madiff offer for this position?

Madiff offers the following benefits: Remote Work, Flexible Hours, Health Insurance, Paid Time Off, Professional Development, Wellness Programs.

Data Scientist – Portfolio Optimisation and Customer Analytics at Madiff

Worldwide

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 <ul> <li> Develop portfolio optimisation and customer lifetime value models </li> <li> Analyse customer behaviour, profitability drivers, and retention patterns </li> <li> Apply statistical modelling, machine learning, and optimisation techniques </li> <li> Translate strategic business questions into structured analytical solutions </li> <li> Prepare and validate datasets for modelling and scenario analysis </li> <li> Collaborate with finance, pricing, and strategy stakeholders </li> <li> Expose analytical outputs to downstream systems and LangChain / LangGraph pipelines </li> <li> Ensure model robustness, consistency, and governance alignment </li> </ul> <h3> Requirements </h3> <ul> <li> Strong hands-on experience in Data Science and advanced analytics Proficiency in Python and common data science libraries (Pandas, NumPy, scikit-learn) </li> <li> Proficiency in Python and common scientific libraries (Pandas, NumPy, SciPy, scikit-learn) </li> <li> Experience with time series modelling and optimisation techniques </li> <li> Strong SQL skills and ability to work with large analytical datasets </li> <li> Experience working on analytics platforms such as Databricks or similar </li> <li> Ability to translate business objectives into quantitative models </li> <li> Experience working in structured enterprise environments </li> <li> Fluent English for professional collaboration </li> </ul> Nice to have <ul> <li> Experience in banking, financial services, or portfolio analytics </li> <li> Exposure to pricing, capital allocation, or customer value modelling </li> <li> Experience integrating analytical outputs into automated decision workflows </li> <li> Familiarity with LangChain and LangGraph for analytical orchestration </li> </ul> <h3> Benefits </h3> <ul> <li> Solid, competitive salary </li> <li> Work in a multinational environment on international projects </li> <li> Comprehensive healthcare </li> <li> Long-term B2B contract with a stable project pipeline </li> <li> Remote work model </li> </ul>

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Remote Opportunity

Data Scientist – Portfolio Optimisation and Customer Analytics

Q: Is this a full-time or part-time Data Scientist – Portfolio Optimisation and Customer Analytics role?

This is a full-time Data Scientist – Portfolio Optimisation and Customer Analytics position at Madiff.

Q: What are the main requirements for the Data Scientist – Portfolio Optimisation and Customer Analytics role?

Key requirements include: 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), and more.

Q: How do I apply for the Data Scientist – Portfolio Optimisation and Customer Analytics position at Madiff?

You can apply for this Data Scientist – Portfolio Optimisation and Customer Analytics position by clicking the "Apply Now" button on this page, which will take you to Madiff's application portal.

Join Madiff as a senior professional working remotely from Worldwide. Explore the role, benefits, and apply in one place.

Data Scientist – Portfolio Optimisation and Customer Analytics

Madiff

Full Time

$120,000 - $180,000*

7 months ago

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.

Worldwide

Data

Senior

Python

Pandas

NumPy

+3 more

Job Description

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

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)
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

Benefits

Remote Work
Flexible Hours
Health Insurance
Paid Time Off
Professional Development
Wellness Programs

Skills

Python

Pandas

NumPy

SciKit-Learn

Machine Learning

Data Analysis

About AI-Estimated Salary

The salary range shown was not provided by the employer. Our AI has estimated it based on the job title, required experience, location, and industry standards (confidence: 80%). This estimate should be used as a general guide only and may not reflect the actual compensation. Always confirm salary details directly with the employer during the application process.

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Salary Range (AI-Estimated)*

$120,000 - $180,000

80% confidence

Posted 7 months ago

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