Strategic Lead Data Scientist – Predictive Modeling

TOM People Ireland; Leinster; On-site; EUR 90,000 - 140,000; Full time

Job summary

TOM People Ireland is seeking a Lead Data Scientist to drive predictive models and analytics products in a heavily regulated financial services environment. You will own the full data science lifecycle—from exploration and feature engineering to deployment, monitoring, and governance.

This role is ideal for solving complex business problems, delivering production-grade models, and achieving tangible commercial impact within a major transformation programme.

Qualifications

• Experience developing predictive models in highly regulated environments such as financial services.
• Advanced Python skills (Pandas, NumPy, Scikit-learn) and strong SQL capabilities.
• Experience with Snowflake or similar cloud-based data platforms.
• Experience developing production-ready machine learning solutions and monitoring frameworks.
• Understanding of model governance, auditability, and regulatory requirements.

Responsibilities

• Develop and deploy predictive models to support commercial, risk, and strategic decision-making.
• Build and maintain modelling datasets using large-scale structured data sources.
• Lead exploratory data analysis, feature engineering, model validation, and performance monitoring.
• Design and execute forecasting, simulation, and scenario analysis for business planning.
• Ensure models are robust, explainable, and compliant with governance and regulatory requirements.
• Implement reproducible, version-controlled data science workflows and best practices.
• Collaborate with data engineering and business stakeholders to deliver scalable data products.
• Evaluate and optimize machine learning models, balancing performance, transparency, and business value.

Skills

Predictive modelling

Python

SQL

Model governance

Stakeholder communication

Tools

Git

Snowflake

Job description

TOM People Ireland is seeking a Lead Data Scientist to drive predictive models and analytics products in a heavily regulated financial services environment. You will own the full data science lifecycle—from exploration and feature engineering to deployment, monitoring, and governance.

This role is ideal for solving complex business problems, delivering production-grade models, and achieving tangible commercial impact within a major transformation programme.