Data Scientist I - Fraud, AML & Generative AI

Mozn; Riyadh; On-site; SAR 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Top-tier health insurance

Dynamic workplace

Growth opportunities

Job summary

You will prepare, clean, and analyze data, experiment with ML and GenAI models, and help deploy solutions in production, collaborating with a diverse team in a fast-growing environment in Riyadh.

This role offers hands-on learning and exposure to cutting-edge AI technologies in a regional hub for fintech and risk management.

Qualifications

• Bachelor's degree in data science or related field.
• 0–2 years of experience in data science or analytics.
• Proficiency in SQL and Python.
• Experience with data extraction, cleaning, and basic visualization.
• Familiarity with model evaluation and feature engineering concepts.
• Proficiency in English; Arabic is a plus.

Responsibilities

• Support the development of fraud detection, AML, and Generative AI use cases.
• Assist in building and testing ML and GenAI models (e.g., prompt engineering, RAG pipelines).
• Prepare, clean, and analyze structured and unstructured data.
• Support the training, evaluation, and deployment of ML models.
• Assist with experimentation using LLMs for tasks such as document analysis, alert summarization, or data enrichment.
• Execute assigned tasks within project plans under supervision.
• Stay informed about industry trends related to fraud, AML, and Generative AI.

Skills

SQL

Python

Data analysis

ML basics

Generative AI

Problem solving

Education

Bachelor’s degree in Data Science or related field

Tools

SQL

Python

Job description

You will prepare, clean, and analyze data, experiment with ML and GenAI models, and help deploy solutions in production, collaborating with a diverse team in a fast-growing environment in Riyadh.

This role offers hands-on learning and exposure to cutting-edge AI technologies in a regional hub for fintech and risk management.