Data Science and Analytics Lead

Client of Talent in the cloud; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An established industry player is seeking a talented data scientist with a robust background in machine learning and AI. This role involves leveraging data science to drive business impact, ensuring model transparency and compliance within the financial services sector. The ideal candidate will have experience in fintech and a strong analytical mindset, coupled with leadership skills to mentor teams. You will work with cutting-edge technologies and cloud platforms, contributing to innovative solutions that shape the future of finance. If you're passionate about data and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Strong background in data science, machine learning, and AI with credit risk modelling experience.
• Excellent leadership skills and ability to mentor high-performing teams.

Responsibilities

• Drive business impact through data science and AI governance in financial services.
• Lead MLOps and model deployment initiatives for data-driven decision-making.

Skills

Data Science

Machine Learning

AI Governance

Credit Risk Modelling

Analytical Skills

Leadership Skills

Education

Bachelor of Science in Statistics

Bachelor of Science in Mathematics

Bachelor of Science in Physics

Bachelor of Science in Computer Science

Tools

AWS

GCP

Azure

Job description

Bachelor of Science (Any, Computers, Physics, Statistics), Bachelor of Arts (Maths)

Nationality: Any Nationality

Vacancy: 1 Vacancy

What it takes to succeed:

• Strong background in data science, machine learning, and AI, with experience in credit risk modelling and financial services.
• Deep understanding of AI governance, model transparency, and regulatory compliance in financial services.
• Hands-on experience with MLOps, model deployment, and automated monitoring solutions.
• Strong analytical mindset with a proven ability to drive business impact through data science.
• Excellent leadership skills, with the ability to mentor and build high-performing teams.
• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Physics, Computer Science, Data Science, Engineering, Economics, Financial Engineering, Actuarial Science or a related discipline.
• Experience in fintech, digital lending, or embedded finance is preferred.
• Exposure to cloud platforms such as AWS, GCP, or Azure for data engineering and machine learning is beneficial.
• Familiarity with graph analytics, network science, or behavioral data modelling is beneficial.
• Knowledge of causal inference techniques and advanced experimentation methodologies is beneficial.
• Prior experience in expanding data science functions into new markets is beneficial.