This job has been archived and is no longer active.
Tabby
Tabby is a UAE-based buy now, pay later method that enables customers to purchase products online or in store and split the payment over 4 monthly installments.
We are seeking a highly skilled and motivated Data Scientist to join our Data Science stream in the Risk Department. In this role, you will work on both operational model lifecycle tasks and next-generation ML initiatives, including hybrid modeling, behavioral modeling, and automation of our ML workflows. You’ll work in a dynamic and fast-paced environment, contributing to projects that directly impact our risk decisioning capabilities and future ML stack.
Design, develop, and maintain risk models using advanced machine learning techniques, including hybrid and sequential approaches.
Regularly retrain, monitor, and validate existing models to ensure timely adaptation to changing customer behavior.
Build and manage scalable data marts in BigQuery to support model development and analytical needs.
Contribute to development of internal automation tools (e.g., AutoML components, ML workflows).
Provide data-driven insights through ad-hoc analyses to support product, credit, and operations teams.
Participate in early research and prototyping of new architectures (Transformers, foundation-style embeddings, multimodal models).
At least 2 years of experience in roles such as Data Scientist, ML Engineer, or Risk Analyst, with a proven track record of impactful contributions in credit scoring.
Proficiency in Python and experience with key data science and machine learning libraries (e.g., NumPy, Pandas, scikit-learn, CatBoost, XGBoost, LightGBM).
Strong knowledge of PyTorch, with the ability to implement and fine-tune complex machine learning models.
Advanced knowledge of SQL, with the ability to work effectively with large datasets.
Experience in building and deploying end-to-end machine learning solutions that drive measurable business impact.
Hands-on experience with tools like Airflow and Docker for deploying machine learning models into production.
Fluency in English
Familiarity with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for scalable data analysis and model deployment.
Proficiency in visualization tools like Tableau or Power BI to effectively communicate insights and support decision-making.
Prior experience working with financial datasets and a strong understanding of risk management principles.
Full-time B2B contract
Fully remote setup
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Relocation support is available to our hubs in Armenia, Georgia, Serbia, Portugal, and Spain, including flights, temporary accommodation, legal setup (if needed)
Archived on: 6/21/2026
