Data Scientist II

About the role

The Mozn brand is alive within a plethora of stakeholder touchpoints and therefore the most suitable candidate for the Data Scientist II position would have hands-on experience in Financial Fraud Detection, KYC, AML, and applied Generative AI solutions. As a Data Scientist II, you will independently contribute to building and deploying analytics and AI models that address fraud and financial crime challenges.

What you’ll do

• Contribute to the development and deployment of fraud detection, AML, and GenAI-driven solutions.
• Apply LLMs to real-world problems such as transaction investigation, sanctions screening, and workflow automation.
• Translate business requirements into analytical and AI solutions.
• Own defined components of projects and deliver them end to end.
• Conduct experimentation and optimization of ML and GenAI models.
• Train, deploy, and monitor models in collaboration with engineering teams.
• Interact with SME clients under guidance.
• Stay updated with regulatory, industry, and Generative AI best practices.

Qualifications

• Bachelor’s or Master’s degree in a relevant field.
• 2–4 years of experience delivering data science solutions.
• Hands-on experience with ML models and exposure to Generative AI frameworks.
• Proficiency in SQL and Python.
• Experience working with structured and unstructured data.
• Familiarity with data pipelines, feature engineering, and model deployment.
• Strong communication skills.
• Proficiency in English; Arabic is a plus.
• Strong analytical thinking and adaptability.

Benefits

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.