A large global organisation are seeking an experienced Senior Data Scientist to develop advanced analytical models and data driven solutions.

This will be a permanent position worked on a hybrid basis, three days on-site in Dublin, Ireland.

Key Responsibilities:

• Design, develop, and deploy machine learning and statistical models to solve complex financial problems such as credit risk, fraud detection, customer segmentation, and forecasting.
• Analyse large and complex datasets to extract meaningful insights that support business strategy and operational efficiency.
• Collaborate with stakeholders across risk, finance, product, and compliance teams to identify data-driven opportunities.
• Build and maintain data pipelines and feature engineering processes for model development and deployment.
• Lead the end-to-end lifecycle of data science projects, from problem definition through model monitoring and improvement.
• Ensure models comply with financial regulatory requirements and model governance standards.

Key Skills Required:

• Master’s or PhD in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven of experience in data science, machine learning, or advanced analytics, preferably in financial services.
• Strong programming skills in Python or R.
• Experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Solid knowledge of statistical modelling, predictive analytics, and experimentation.
• Experience working with large-scale datasets and SQL-based data platforms.