Data Scientist II
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Key skills for this role
About the Role
Mozn is looking for a Data Scientist II with experience in fraud detection, AML, and Generative AI. You will independently contribute to building and deploying analytics and AI models, apply LLMs to real-world problems, and collaborate with engineering teams.
Key Skills for This Role
Responsibilities
- 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
Requirements
- 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
Full Job Posting
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.
- The fundamentals will be taken care of: competitive compensation, top tier health insurance, and an enabling culture.
- 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.
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