Lead Data Scientist - Big Data and Modelling
- Lead the design, development, and deployment of machine learning models for risk scoring, fraud detection, and behavioural analytics
- Drive feature engineering, model training, and model monitoring pipelines using large-scale datasets
- Build and maintain a scalable data infrastructure in collaboration with the Data Engineering team
- Manage and mentor a team of data scientists and engineers, ensuring high standards in model accuracy, interpretability, and governance
- Translate complex business problems into data-driven solutions and communicate technical insights clearly to stakeholders
- Lead model validation, backtesting, and performance analysis for new and existing models
- Develop and implement data quality checks, pipelines, and data governance protocols
Qualifications
- Bachelor’s or Master’s in Data Science, Computer Science, Applied Mathematics, or related field
- 3+ years of experience in data science, machine learning, or risk modeling, ideally in fintech or banking
- Strong command of Python, SQL, and big data tools (e.g., Spark, Airflow, Hadoop, AWS/GCP/Databricks)
- Experience leading end-to-end model development in production environments
- Solid understanding of credit risk, fraud analytics, or financial modelling