Lead Data Scientist - Big Data and Modelling

About the role

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 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

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Company Intel

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