Senior Data Science Analyst - Data Office
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Summary
Senior data science role in National Bank of Kuwait's Data Office, designing and deploying AI/ML models and intelligent agents for predictive and prescriptive analytics across the bank, including defining MLOps standards. Day-to-day work spans Python, SQL, R, statistical tooling, and Tableau-based visualization and reporting.
Job Purpose
This role acts as a technical development role, focused on solution implementation, defining enterprise data platforms requirements, architectures, and standards. It requires working with various stakeholders to design data analytics driven solutions as needed for their business needs.
Key Responsibilities & Accountabilities
- Design and deliver advanced analytics solutions leveraging AI/ML models and intelligent agents to address business needs across the Bank
- Build, test, and deploy data science models, algorithms and AI-driven agents, enabling predictive, prescriptive, and automation capabilities for business units
- Collaborate closely with business and analytics teams to translate requirements into scalable analytical solutions
- Offers expertise to the MIS & Analytics teams to help the departments move to Machine Learning models for Predictive and Prescriptive Analytics
- Defines MLOps standards & frameworks and implements them
- Creates a platform for collaboration across data scientists in the Bank
- Uses advanced data visualization methods to represent insights
- Structures large data sets to find usable information
- Create presentations and reports based on recommendations and findings
Educational Qualifications & Experience
- Bachelor’s degree holder in related field
- Minimum of 6+ years of experience in a related field.
- Experience in building AI / ML models
- Experience in building advanced data analytics solutions
- Experience in defining business requirements for information management projects
Competencies
- Adapting and Responding to Change
- Working with People
- Delivering Results and Meeting Customer Expectations
- Formulating Design Concepts
Skills
- Coding skills in languages such as SQL, Python and/or R
- Knowledge of data gathering, cleaning and transforming techniques
- Reporting and data visualization skills using software like Tableau
- Proficiency in Microsoft Excel
- Experience with statistical software
Critical Success Factors
- Analytical and problem-solving skills
- Ability to set and meet deadlines
- Ability to work in high-pressure situations
- Excellent attention to detail
- Strong written/verbal communication skills