Base pay range
Direct message the job poster from TOM People Ireland
The Role
We’re looking for a Senior Data Scientist to join the commercial analytics team. In this role, you’ll lead the design, development, and implementation of advanced pricing models and analytical processes. You’ll play a key part in shaping data strategy, driving profitability and growth through data‑led insights, and supporting cross‑functional teams with analytical expertise.
Key Responsibilities
* Develop and implement pricing and analytical models to support business strategy and growth.
* Lead the design and improvement of data‑driven pricing processes and tools.
* Build, maintain, and communicate data visualisations and reports to stakeholders.
* Deliver actionable insights through statistical modelling, forecasting, and segmentation.
* Provide analytical support on pricing and commercial initiatives across the business.
* Manage ad‑hoc analytical requests and projects from end to end.
About You
* Degree in Engineering, Science, Statistics, Actuarial Studies or a related field.
* 5+ years’ experience in a pricing or analytical role, ideally within financial services.
* Strong experience with statistical modelling and predictive analytics (e.g. regression, forecasting, segmentation, ML techniques).
* Proficiency in Python, R, SQL, and Excel; experience with data visualisation tools (e.g. Power BI, Tableau).
* Strong mathematical background with excellent problem‑solving skills.
* Excellent communication skills and ability to explain complex data insights clearly.
* Proven ability to manage projects and deliver high‑quality analytical outputs to deadlines.
Why Join?
Work with a leading FS client in a dynamic and evolving environment where data is at the heart of business strategy. This is a fantastic opportunity to take ownership, shape data initiatives, and grow your career within a high‑performing and forward‑thinking analytics team.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
Information Technology, Strategy/Planning, and Finance
Industries
IT System Data Services, Data Infrastructure and Analytics, and Financial Services
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