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Senior Data Scientist - Banking Analytics & MLOps
Job summary
A leading banking institution in Abu Dhabi is seeking an experienced data scientist to design and develop machine learning models that align with personal banking priorities. This full-time role requires strong hands-on skills in SQL, Python, and machine learning libraries, along with a commercial approach to tackle high-impact projects. Candidates should have at least 5 years of experience in data science within a banking context and demonstrate excellent stakeholder communication skills.
Qualifications
- 5 years of applied data science experience in a banking environment.
- Proven track record of deploying production-grade models with ongoing performance management.
- Strong hands-on skills in SQL, Python and ML libraries.
- Demonstrated experience in feature engineering and large-scale data handling.
- Strong commercial acumen for high-impact use cases.
Responsibilities
- Design and build machine learning models aligned to core personal banking priorities.
- Drive the development of scalable analytics products.
- Implement production-ready model pipelines using CI/CD tooling.
- Lead the extraction and transformation of raw data into high-quality features.
- Present modelling outcomes to senior non-technical stakeholders.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.