Senior Data Scientist, Dublin

Allied Irish Banks; Dublin; Hybrid; EUR 65,000 - 85,000; Full time

Job summary

A leading banking institution in Dublin is seeking a Data Scientist to join their Experimentation and Campaign Effectiveness team. The successful candidate will leverage statistical techniques and experimental methods to enhance customer engagement strategies. Candidates should have a Bachelor's degree in a relevant field and 3+ years of experience in quantitative analytics. This position offers a hybrid work model, allowing 2 days in the office now, transitioning to 3 days a week from January 2026. Competitive benefits are included.

Benefits

Variable Pay

Employee Assistance Programme

Family leave options

Qualifications

• Bachelor's degree in economics, statistics, mathematics, computer science, physics, or data science.
• 3+ years’ experience in a quantitative analytics role.
• Advanced proficiency in statistical software.

Responsibilities

• Design, implement, and analyze experiments (A/B tests).
• Define and track key performance indicators (KPIs).
• Contribute to pre/post-campaign analysis.

Skills

Statistical methods

Experimental design

Data visualization

Communication of insights

Machine learning techniques

Education

Bachelor's degree in relevant field

Tools

SAS

R

Python

Power BI

Tableau

Job description

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

Background

• Do you have a background in economics, statistics, mathematics, computer science, physics, or data science and want to apply causal inference methods to shape how we engage and serve our customers?
• Do you enjoy collaborating with cross‑functional teams such as economists, data engineers, marketing professionals, and business managers to design experiments and deliver actionable insights?
• Do you have a drive to innovate and keep up with the latest econometric and machine learning techniques to deliver better insights?

What is the Role

The role reports to the Experimentation and Campaign Effectiveness team within the Chief Customer Office (CCO). It requires a strong understanding of statistical techniques and experimental methods to ensure the success of CCO initiatives (e.g., personalisation, lifecycle, and promotional campaigns). As a Data Scientist, you will contribute to designing experiments (A/B tests, online and field experiments) to measure campaign performance; deliver pre/post‑campaign analysis; and support the development of monitoring tools to track key performance indicators (KPIs).

Key accountabilities

• Work closely with the CRM and Data Science teams to design, implement, and analyse experiments (A/B tests, online and field experiments). Provide subject‑matter expertise on causal inference, especially issues surrounding internal and external validity.
• Define key performance indicators (KPIs), including ROI, uplift, conversion, and churn metrics and track them through the production and maintenance of dashboards.
• 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 the team in enhancing the efficiency of data pre‑processing, analysis, and reporting (e.g., increased automation).

What you Will Bring

• A bachelor’s degree in economics, statistics, mathematics, computer science, physics, or data science. The applicant must demonstrate a good understanding of experimental methods and micro‑econometrics.
• 3+ years’ experience in a quantitative analytics role.
• Advanced level of proficiency in statistical software such as SAS, R, or Python.
• Familiarity with data visualisation tools such as Power BI, SAS Visual Analytics, QlikView, or Tableau.
• 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 machine learning methods for estimating heterogeneous treatment effects 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 our designated office, subject to their role, the needs of our customers and business requirements.

Benefits

• Variable Pay
• Employee Assistance Programme
• Family leave options

Please click here for further information about AIB’s PACT – Our Commitment to You.

Key Capabilities

• A/B Testing and Experimentation
• Drives Progress
• Eliminates Complexity

If you are not sure about your suitability based on any aspects of the role advertised, we encourage you to please contact the recruiter for this role, Emma, at [e-mail] for a conversation.

Equal Opportunities

AIB is an equal opportunities employer, and we pride ourselves on being the first bank in Ireland to receive the Investors in Diversity Gold Standard accreditation from the Irish Centre for Diversity. We are committed to providing reasonable accommodations for applicants and employees. Should you have a reasonable accommodation request please email the Talent Acquisition team at [e-mail]

Disclaimer

Unsolicited CVs sent to AIB by recruitment agencies will not be accepted for this position. AIB operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our recruitment partners.