Senior Data Science Analyst - Data Office

National Bank of Kuwait; Kuwait City; On-site; KWD 30,000 - 42,000; Full time

Job summary

National Bank of Kuwait is seeking a senior data analytics engineer to lead design and implementation of enterprise data platforms. You will build and deploy AI/ML models and intelligent agents to deliver predictive and prescriptive analytics across business units.

Collaborating with analytics teams, you will define data requirements, architectures, and standards, establish MLOps processes, and create scalable solutions with strong data visualization to generate actionable insights for decision

Qualifications

• Bachelor’s degree in a 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.

Responsibilities

• Design and deliver analytics solutions using AI/ML models and intelligent agents.
• Build, test, and deploy data science models and AI-driven agents.
• Translate requirements to scalable analytical solutions with business units.
• Define MLOps standards and frameworks and implement them.
• Create a platform for collaboration among data scientists and visualize insights.

Skills

SQL

Python

R

Education

Bachelor's degree

Tools

Tableau

Job description

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