The company is seeking experienced Data Scientists to engage in advanced analytics and machine learning projects for leading retail banking clients in the UAE. This hands-on role involves building, optimizing, validating, and implementing machine learning models to support customer growth, credit decisioning, risk management, and portfolio performance.
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Key Responsibilities:
- Build, validate, optimize, and monitor machine learning models tailored for retail banking.
- Develop Marketing Analytics solutions like customer segmentation, propensity modeling, churn prediction, and cross-sell/upsell strategies.
- Create Credit Analytics solutions including application and behavioral scoring, risk segmentation, and portfolio risk analysis.
- Conduct data exploration, feature engineering, model selection, hyperparameter tuning, and model validation.
- Work with various data types, including customer, transaction, product, campaign, and credit performance data.
- Translate banking business requirements into actionable Data Science and Machine Learning solutions.
- Collaborate with cross-functional teams including business, risk, marketing, technology, and data engineering.
- Present findings and recommendations to client stakeholders.
- Ensure compliance with model governance, documentation, validation, and performance monitoring.
Required Skills & Experience:
- 5+ years of hands-on Data Science experience.
- Mandatory experience in Retail Banking Analytics.
- Proficiency in Marketing Analytics, Credit Analytics, or both.
- Proven ability in building and optimizing Machine Learning models.
- Strong programming skills in Python and SQL.
- Experience working with large and complex banking datasets.
- Solid understanding of statistical modeling, feature engineering, and model evaluation.
- Excellent analytical and problem-solving abilities.
- Strong client-facing and stakeholder management skills.
- Willingness to work from the client location in the UAE.
Preferred Skills:
- Experience with Databricks, Dataiku, Azure, or similar platforms.
- Familiarity with MLOps, model deployment, and monitoring.
- Knowledge in campaign optimization and portfolio risk management.
- Bachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative discipline.
Candidate Eligibility:
- Applicants currently residing in the UAE or India are welcome to apply.
- Candidates in India must be willing to relocate to the UAE and work from the client location.
- Only those available to start immediately or within 30 days should apply.
