Data scientist in fintech

IDT is expanding its AI Lab and seeking a hands-on, highly experienced Senior Data Scientist with a proven track record of building new ML models from scratch and deploying them into real-time production. You will tackle complex problems across fraud prevention, payment risk, transaction scoring, personalization, and financial forecasting using large-scale transactional datasets. You will own the full modeling lifecycle — from problem framing through to production monitoring.

• Design and build new models from the ground up (gradient boosting, neural networks, ensembles, anomaly detection) for anti-fraud, risk assessment, and personalization; maintain rigorous validation practices to prevent data leakage and overfitting.
• Partner with Data Engineering and MLOps to operationalize models in production (batch and real-time/low-latency); build training, experiment tracking (MLflow), and model/data drift monitoring pipelines.
• Design A/B tests and statistical evaluations to measure model performance against key business metrics (reduced fraud losses, transaction acceptance rates, decision latency).
• Explore emerging techniques (LLMs/GenAI, graph-based methods), establish engineering best practices, and mentor fellow team members.

• 5+ years of hands-on experience in Data Science / ML, with a strong focus on designing and building new ML models from scratch and delivering them into production with measurable business impact.
• B2+ (Upper-Intermediate or higher) — fluent written and spoken communication for technical discussions and daily collaboration with an international team.
• Deep understanding of statistics, probability, and validation methodologies; practical experience handling class imbalance, model calibration, and anomaly detection.
• Advanced proficiency (Scikit-learn, Pandas, NumPy);
• Hands-on experience with PyTorch or TensorFlow;
• Complex queries and large-scale data manipulation;
• Experiment tracking and model lifecycle management (MLflow, ClearML, etc.).
• Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related quantitative field.
• Будет плюсом: Domain experience in FinTech, Payments, or Fraud Prevention: real-time transaction scoring and low-latency inference; Experience with cloud data platforms (Snowflake), Feature Stores, and event-driven architectures; Background in time-series forecasting, graph neural networks, Explainable AI (XAI), or applied LLM solutions; Master’s degree or Ph.D. in a quantitative discipline

• Remote b2b or hybrid (Belarus-Moldova) work opportunity!
• Stable job with long-term growth perspective
• Competitive salary with annual performance review
• Really good hardware
• An exciting and challenging job with talented people around
• Continuous learning and career growth opportunities
• Compensation for professional training, seminars, and conferences
• Referral program - get rewarded for helping us grow the team with talented people
• Company-supported English classes to enhance your professional growth
• More perks for the Minsk and Chisinau office employees