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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)
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
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;
Key Capabilities
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 [email protected]
Disclaimer
Unsolicited CV’s 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.
Application deadline : 30/12/2025
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 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?
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).
- 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.
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;
- Market leading Pension Scheme
- Healthcare Scheme
- Variable Pay
- Employee Assistance Programme
- Family leave options
- Two volunteer days per year
Key Capabilities
- A/B Testing and Experimentation
- Statistical Modelling
- Data Visualization
- Drives Progress
- Collaborates
- Eliminates Complexity
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 [email protected]
Disclaimer
Unsolicited CV’s 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.
Application deadline : 30/12/2025
Key Skills
Ranked by relevance
campaign analysis
machine learning
sas
power bi
crm
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- Posted
- Dec 09, 2025
- Type
- Full-time
- Level
- Not Applicable
- Location
- Dublin
- Company
- AIB
Industries
Banking
Financial Services
Categories
Engineering
Information Technology
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