Data Scientist I – AI & Fraud Detection
MOZN · Riyad
Job description
About the role
Mozn is a fast‑growing Enterprise AI company focused on financial crime prevention and knowledge intelligence. As a Data Scientist I you will help build analytical and AI‑driven solutions that detect fraud, support AML initiatives, and explore generative AI use cases, working under close supervision.
Key responsibilities
- Support the design and testing of fraud detection, AML and Generative AI use cases.
- Assist in building, prompting and evaluating ML and GenAI models, including RAG pipelines.
- Prepare, clean and analyse both structured and unstructured data sets.
- Help train, evaluate and deploy machine‑learning models.
- Experiment with large language models for document analysis, alert summarisation or data enrichment.
- Execute assigned tasks within project plans under supervision.
- Stay updated on industry trends in fraud, AML and Generative AI.
Required profile
- Bachelor’s degree in Data Science, AI, Machine Learning, Mathematics, Statistics or a related field.
- 0–2 years of experience in data science or analytics.
- Basic understanding of machine‑learning concepts and exposure to Generative AI or LLMs.
- Proficiency in English; Arabic is a plus.
- Strong problem‑solving abilities, attention to detail and eagerness to learn.
Required skills
- SQL
- Python
- Data extraction and cleaning
- Basic data visualisation
- Model evaluation
- Feature engineering
- Machine‑learning fundamentals
- Generative AI concepts
- Large Language Models (LLMs)
What we offer
- Opportunity to work in a high‑growth, AI‑focused environment in the Middle East.
- Significant responsibility and autonomy.
- Competitive compensation and top‑tier health insurance.
- Supportive, diverse and dynamic workplace culture.
- Access to cutting‑edge AI projects and mentorship from industry experts.
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Published 1 week ago
Expires 1 month from now
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MOZN
Riyad
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