Data Scientist – Retail Banking Analytics
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Key skills for this role
Role Overview
Work on advanced analytics and machine learning engagements for leading retail banking clients in the UAE.
The role focuses on building, optimizing, validating, and implementing machine learning models for customer growth, credit decisioning, risk management, and portfolio performance.
Candidates need strong experience in Marketing Analytics or Credit Analytics; experience across both areas is advantageous.
Retail Banking experience is mandatory.
Key Skills for This Role
Full Job Posting
About the Role
Work on advanced analytics and machine learning engagements for leading retail banking clients in the UAE.
The role focuses on building, optimizing, validating, and implementing machine learning models for customer growth, credit decisioning, risk management, and portfolio performance.
Candidates need strong experience in Marketing Analytics or Credit Analytics; experience across both areas is advantageous.
Retail Banking experience is mandatory.
Key Responsibilities
- Build, validate, optimize, and monitor machine learning models for retail banking use cases.
- Develop marketing analytics solutions including segmentation, propensity modeling, churn prediction, campaign targeting, cross-sell, upsell, next-best-action, and customer lifetime value.
- Develop credit analytics solutions including application scoring, behavioral scoring, risk segmentation, early warning indicators, collections prioritization, and portfolio risk analysis.
- Perform data exploration, feature engineering, model selection, hyperparameter tuning, and model validation.
- Work with customer, transaction, product, campaign, bureau, and credit performance data.
- Translate banking business requirements into practical Data Science and Machine Learning solutions.
- Collaborate with business, risk, marketing, technology, and data engineering teams.
- Present model findings and recommendations to client stakeholders.
- Support model governance, documentation, validation, and ongoing performance monitoring.
Required Skills and Experience
- At least 5 years of hands-on Data Science experience.
- Mandatory experience in Retail Banking Analytics.
- Strong experience in Marketing Analytics, Credit Analytics, or both.
- Proven hands-on experience building and optimizing Machine Learning models.
- Strong programming skills in Python and SQL.
- Experience working with large and complex banking datasets.
- Strong understanding of statistical modeling, feature engineering, and model evaluation.
- Strong analytical, problem-solving, client-facing, and stakeholder-management capabilities.
- Willingness to work from the client location in the UAE.
Preferred Skills
- Experience with Databricks, Dataiku, Azure, or similar platforms.
- Exposure to MLOps, model deployment, and model monitoring.
- Experience in campaign optimization, customer value management, collections analytics, or portfolio risk management.
- A bachelor's or master's degree in data science, statistics, mathematics, computer science, engineering, economics, or a related quantitative discipline.
Workplace and Availability
- The role requires working from the client location in the UAE.
- Candidates based in India should be willing to relocate to the UAE and work from the client location.
- Only candidates who can join immediately or within 30 days should apply.
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