Jobs and Careers

Senior Data Scientist, Dublin

Irelandfull_timeVerifiedPosted 21 Oct 2025

About the role

Senior Data Scientist

Location/Office Policy: Molesworth st., Dublin (Hybrid working – 2 days a week in the office, moving to 3 days in office from Jan 2026)

Do you love analytics and using data to make our customers’ lives better?
Do you want to be part of a customer-centric team dedicated to transforming how we engage and serve our customers?
Do you like collaborating with cross-functional teams?

What is the Role:

The role reports to the Customer Base Management team which sits within the Chief Customer Office (CCO). It requires experience in database management and data visualization to ensure the timely and effective monitoring of customer base management initiatives (e.g., personalisation, lifecycle, and promotional campaigns). As a senior data scientist, you will: lead the development and maintenance of dashboards and other monitoring tools to track key performance indicators (KPIs); deliver pre/post-campaign analysis; and provide support in designing experiments (A/B tests, online and field experiments) to measure campaign performance.

Key accountabilities:

Lead the development and maintenance of dashboards to ensure timely and effective monitoring of campaign performance. Provide subject matter expertise on enhancing the efficiency of data pre-processing, analysis, and reporting (e.g., increased automation, use of version control systems).

Define key performance indicators (KPIs), including ROI, uplift, conversion, and churn metrics.
Contribute to pre/post-campaign analysis with clear commentary and recommendations. Ensure statistical rigor is applied to business recommendations.
Extract, transform, and clean the data required for modelling and analysis purposes.
Support and contribute to the development of robust measurement frameworks to evaluate performance of CRM, lifecycle, and promotional campaigns.

Assist the team in designing, implementing, and analysing experiments (A/B tests, online and field experiments).

What you Will Bring:

A bachelor’s degree in Computer Science, Computer Engineering, Statistics, Data Science, Physics, Mathematics, or related field.
5+ years’ experience in a quantitative or business analytics role.
Advanced level of SAS or SQL programming. An equivalent level in alternate programming language would be considered (e.g., R, Python, Matlab).
Advanced knowledge of data visualisation tools such as Power BI, SAS Visual Analytics, QlikView, or Tableau.
Extensive experience in database management (Teradata) and version control system (Git).
Strong ability to communicate analytical insights into clear business recommendations for all levels in the organization.
Inclination to innovate and proactively keep abreast of the latest techniques. Knowledge of microeconometrics and machine learning methods would be a bonus.

Why Work for AIB:

We are committed to offering our colleagues choice and flexibility in how we work and live and our hybrid working model enables our people to balance their time between working from home and their designated office, subject to their role, the needs of our customers and business requirements.

Some of our benefits include;