Senior Data Scientist

Mozn
Dumfries
2 months ago
Applications closed

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About Mozn

Mozn is a rapidly growing technology firm revolutionizing the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia. It supports and grows the tech ecosystem in Saudi Arabia and the GCC region, aligning with Vision 2030. Mozn partners with governments, large corporations, and startups to provide AI‑powered products and solutions locally and globally.


About the Role

The Senior Data Scientist will specialize in Financial Fraud Detection, Sanction Screening, Know Your Customer (KYC) procedures, and Anti‑Money Laundering (AML) initiatives. You will develop and implement advanced analytics models to detect and prevent fraudulent activities and mitigate AML risks.


What You'll Do

  • Lead initiatives to develop and implement strategies for fraud detection and AML.
  • Interact heavily with subject‑matter experts and enterprise clients.
  • Understand pain points and gaps, build a project plan with clear deliverables and execute on it.
  • Plan, research, and experiment with customized project‑based solutions.
  • Conduct research, experimentation, and optimization to enhance technical solutions for detecting fraudulent activities.
  • Plan and execute towards the training of ML models then deploying them.
  • Help shape the roadmap for the development of our fraud and AML solutions.
  • Stay updated with industry trends, best practices, and regulatory requirements related to fraud detection, AML, and financial crime prevention.

Qualifications

  • Bachelor’s or Master’s degree in Data Science, AI, Machine Learning, Mathematics, Statistics, or a related field.
  • At least 5 years of experience in leading advanced data science projects.
  • Minimum 3 years in client‑facing engagements in fraud prevention and AML.
  • Strong communication skills to collect insights from clients, share and present findings.
  • Proficient in handling and analysing large datasets using SQL and Python.
  • Hands‑on experience in data extraction, visualisation, analysis, and transformation.
  • Expert in building and maintaining advanced ML and statistical models; graph analytics experience is advantageous.
  • Skilled in utilising databases, data warehousing, data modelling techniques, and feature generation / engineering.
  • Ability to create and manage complex multi‑stage data pipelines.
  • Experience in building fraud detection models or consulting on fraud detection / AML is highly advantageous.
  • Proficiency in English language required; Arabic language proficiency is preferred.
  • Excellent verbal and written communication skills.
  • Excellent problem‑solving skills, attention to detail, and adaptability.

Benefits

  • Competitive compensation and top‑tier health insurance.
  • Fun and dynamic workplace working alongside some of the greatest minds in AI.
  • Freedom to take responsibility, trust, and autonomy to drive results.
  • Culture that embraces diversity and empowers employees to be their best selves.
  • Opportunity to make a long‑lasting impact in the Middle East.

Job Details

  • Seniority level: Mid‑Senior level
  • Employment type: Full‑time
  • Job function: Engineering and Information Technology
  • Industries: Software Development


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