Data Scientist I: Fraud, AML & GenAI Innovator

Mozn; Riyadh; On-site; SAR 110,000 - 180,000; Full time

Benefits offered by this job

Top-tier health insurance

Competitive compensation

Enabling culture for growth

Great minds in AI

Remote/hybrid options not specified

Job summary

Mozn in Saudi Arabia is seeking a Data Scientist I to support fraud detection, AML, and KYC initiatives, leveraging Generative AI to build analytical solutions that mitigate risk and boost trust. You will prepare, clean, and analyze data, train and evaluate ML models, and assist with prompt engineering and RAG pipelines, working under supervision with a talented team in a fast-growing AI company.

Requirements include a Bachelor’s degree in a data-related field, 0–2 years of experience,

Qualifications

• 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.
• 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

ML basics

Data visualization basics

Education

Bachelor’s degree in Data Science/AI/Machine Learning/Statistics

Tools

GenAI platforms

Job description

Mozn in Saudi Arabia is seeking a Data Scientist I to support fraud detection, AML, and KYC initiatives, leveraging Generative AI to build analytical solutions that mitigate risk and boost trust. You will prepare, clean, and analyze data, train and evaluate ML models, and assist with prompt engineering and RAG pipelines, working under supervision with a talented team in a fast-growing AI company.

Requirements include a Bachelor’s degree in a data-related field, 0–2 years of experience,