Data Scientist II
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Key skills for this role
About the Role
Mozn is hiring a Data Scientist II to contribute to building and deploying analytics and AI models for financial crime prevention and enterprise knowledge intelligence. The role involves developing fraud detection, AML, and GenAI solutions, applying LLMs to real-world problems, and collaborating 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 Mozn
- MOZN is a leading Enterprise AI company enabling organizations to make informed decisions in Financial Crime Prevention and Enterprise Knowledge Intelligence.
About The Role
- The Data Scientist II will have hands on experience in Financial Fraud Detection, KYC, AML, and applied Generative AI solutions, independently contributing to building and deploying analytics and AI models.
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.
- You will be given a lot of responsibility and trust.
- Competitive compensation, top tier health insurance, and an enabling culture.
- Fun and dynamic workplace alongside some of the greatest minds in AI.
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