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.
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