Data Scientist - Credit Risk and Fraud
Actively Hiring
Full-time Posted 6 months ago
Responsibilities
- check_circle Design and maintain credit risk and fraud detection models
- check_circle Perform feature engineering on large structured financial datasets
- check_circle Train, validate, and optimise machine learning models for production use
- check_circle Monitor model performance and implement continuous improvements
- check_circle Collaborate with ML engineers on deployment, tracking, and lifecycle management
- check_circle Integrate model outputs into LangChain and LangGraph orchestration pipelines
- check_circle Ensure model explainability, robustness, and regulatory compliance
- check_circle Support documentation and governance requirements in a regulated environment
Basic qualifications
- Strong hands-on experience in Data Science and applied Machine Learning
- Proficiency in Python and common data science libraries (Pandas, NumPy, scikit-learn)
- Experience with gradient boosting frameworks such as XGBoost or LightGBM
- Strong SQL skills and experience working with large datasets
- Experience with PySpark or distributed data processing
- Experience with MLflow for experiment tracking and model management
- Understanding of production model lifecycle and monitoring practices
- Ability to work in regulated or risk-sensitive environments Fluent English for professional collaboration
Preferred qualifications
- Experience in credit risk, fraud detection, or financial services
- Exposure to LangChain and LangGraph for orchestration of analytical outputs
- Experience integrating ML models into real-time decision systems
- Understanding of model interpretability and explainability frameworks
Benefits
- check_circle Solid, competitive salary
- check_circle Work in a multinational environment on international projects
- check_circle Comprehensive healthcare
- check_circle Long-term B2B contract with a stable project pipeline
- check_circle Remote work model
Tags & Focus Areas
Fulltime Remote Machine Learning Data Science Ai