Senior Data Scientist – Commercial / Pricing
Our client is a leading financial services organisation in Ireland, undergoing an exciting period of growth and transformation. They are investing heavily in data and analytics to drive smarter, faster, and more strategic decision-making across the business.
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 trading 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.
* 7+ 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).
* 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.
Location:
Dublin (Hybrid)
Employment Type:
Full-time, Permanent