Data Scientist
Job in
Riyadh, Riyadh Region, Saudi Arabia
Listed on 2026-10-16
Listing for:
Eurisko
Full Time
position Listed on 2026-10-16
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Eurisko is looking for a talented Data Scientist to join our growing AI & Data Analytics team in Riyadh, Saudi Arabia.
The ideal candidate will have strong analytical and problem-solving skills, hands-on experience in machine learning and statistical modeling, and the ability to translate complex data into actionable business insights.
Experience in Banking & Fin Tech is a strong plus.
Key Responsibilities- Design, develop, and deploy machine learning and predictive analytics models.
- Analyze large, complex datasets to identify patterns, trends, and business opportunities.
- Develop data-driven solutions for customer segmentation, forecasting, recommendations, and risk analysis.
- Collaborate with data engineers, AI engineers, and business stakeholders to deliver end-to-end data science solutions.
- Build, evaluate, and optimize models for accuracy, scalability, and performance.
- Communicate analytical findings through clear visualizations and business recommendations.
- Contribute to AI-driven initiatives and intelligent decision-making solutions.
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of hands-on experience in Data Science or Machine Learning.
- Strong proficiency in Python and SQL.
- Hands-on experience with Pandas, Num Py, Scikit-learn, and other machine learning frameworks.
- Solid understanding of statistics, predictive modeling, classification, regression, and clustering.
- Experience in feature engineering, model evaluation, and optimization.
- Familiarity with data visualization tools such as Power BI, Tableau, or similar.
- Understanding of data pipelines, data quality, and large-scale data processing.
- Strong communication, analytical thinking, and problem-solving skills.
- Experience in Banking, Financial Services, or Fin Tech
. - Knowledge of financial use cases such as fraud detection, credit scoring, customer churn, next-best-action, and customer intelligence.
- Exposure to Generative AI, LLMs, and Retrieval-Augmented Generation (RAG).
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with MLOps, model deployment, and monitoring.
- Experience working in Agile/Scrum environments.
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