# Head of Data Science — Manpower Middle East

Canonical: https://jobxdubai.com/jobs/li-4452582930-head-of-data-science
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 35,000 to 70,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-08-18
Apply: https://www.linkedin.com/jobs/view/head-of-data-science-at-manpower-middle-east-4452582930?_l=en

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## Description

About the Role

We are partnering with an innovative financial services organization to appoint a Head of Data Science to be based in Dubai, UAE. This is a strategic leadership opportunity to build and scale an in-house credit technology capability that powers digital lending across a growing wallet ecosystem. This role is ideal for a highly analytical and commercially minded leader with deep expertise in credit risk modelling, digital lending, machine learning, and automated credit decisioning.

About the Requirements

• Bachelor's Degree in: Mathematics, Statistics, Computer Science, Data Science, Economics, Engineering, Quantitative Finance, Related quantitative disciplines

• Master's Degree preferred

• 7 - 10 years of experience in: Credit Risk, Decision Science, Data Science, Machine Learning, Consumer Lending, Financial Services Analytics

• Proven experience developing and deploying: Credit scoring models, Behavioural risk models, Consumer lending models, Automated credit decision systems

• Strong understanding of: Probability of Default (PD), Credit risk grading, Eligibility frameworks, Affordability methodologies, Credit policy design, Credit limit management

• Experience working with large-scale transactional, wallet, customer, or alternative datasets

• Advanced proficiency in: Python, SQL

• Strong knowledge of machine learning techniques including Logistic Regression, Scorecards, Gradient Boosting, XGBoost, LightGBM

• Experience managing models throughout the entire lifecycle from development and validation through deployment and monitoring

• Should have experience of West Africa markets

About You

• Credit Scoring & Decisioning: Lead the end-to-end development and enhancement of the Credit Scoring & Decision Engine

• Design and deploy: Credit scoring models, Risk grading frameworks, Probability of Default (PD) models, Eligibility engines, Affordability assessments, Credit limit management strategies

• Develop application and behavioural credit risk models

• Establish model validation, monitoring, governance, explainability, and auditability frameworks

• Drive ongoing model optimization using portfolio performance insights

• Credit Limit & Affordability Strategy

• Own credit limit strategies including: Initial limit assignment, Maximum exposure limits, Limit increases and decreases, Customer retention strategies, Data & Technology Collaboration

• Define the integration framework between the Credit Scoring Engine and Loan Management System (LMS)

About the Recruiter

Contact: Jasmine Puno – Recruitment Resourcer

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Manpower Middle East is committed to a safe and transparent hiring process. We will never request payment, banking details, or sensitive personal information as part of our recruitment. If you receive suspicious outreach claiming to be from us, please contact info@manpower-me.com

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## Requirements

Bachelor's Degree in Mathematics, Statistics, Computer Science, Data Science, Economics, Engineering, Quantitative Finance, or related quantitative disciplines
Master's Degree preferred
7 - 10 years of experience in: Credit Risk, Decision Science, Data Science, Machine Learning, Consumer Lending, Financial Services Analytics
Proven experience developing and deploying: Credit scoring models, Behavioural risk models, Consumer lending models, Automated credit decision systems
Strong understanding of: Probability of Default (PD), Credit risk grading, Eligibility frameworks, Affordability methodologies, Credit policy design, Credit limit management
Experience working with large-scale transactional, wallet, customer, or alternative datasets
Advanced proficiency in: Python, SQL
Strong knowledge of machine learning techniques including Logistic Regression, Scorecards, Gradient Boosting, XGBoost, LightGBM
Experience managing models throughout the entire lifecycle from development and validation through deployment and monitoring
Should have experience of West Africa markets

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