Postgraduate Internship in Customer Analytics
First seen by Alion on Oct 7, 2026.
At AIB, our values guide how we work and how we support each other. We’re looking for someone who puts Customer First, takes initiative and Owns the Outcome, and is always looking for ways to Eliminate Complexity. You’ll treat colleagues and customers with fairness and Show Respect, and you’ll thrive in a culture built on collaboration where we Be One Team to deliver meaningful impact.
Location/Office Policy: Molesworth st, Dublin (Hybrid working - 3 days in office)
Salary: €27,500
Duration: 6 -months, commencing January 2027
- Are you a recent master’s graduate considering whether to pursue a PhD or begin a career in industry, OR a current PhD student interested in gaining practical industry experience?
- Are you enthusiastic about causal inference and curious about whether behaviourally informed interventions work? Are you interested in using statistical and econometric tools to evaluate their effects on consumer financial decision-making?
- Would you like to gain hands-on experience preparing and analysing large datasets and using data visualisation to communicate insights?
What is the Role:
The Customer Base Management team is looking for two interns to join its six-month Postgraduate Internship in Customer Analytics, commencing in January 2027. The internship is designed for candidates interested in gaining practical industry experience in causal inference and marketing analytics. You will work with large datasets to evaluate the effectiveness of direct customer communications and use data visualisation to communicate your findings.
We are looking for candidates who are ready to put on their “scientist goggles”: to approach questions with curiosity, challenge assumptions with evidence, and remain open to revising their conclusions when the data points in a different direction.
This internship offers opportunities to:
- Apply statistical and econometric skills to real-world business questions;
- Work on specific analytical projects and present your findings to both technical and non-technical stakeholders; and
- Build your professional network through a semi-structured networking programme facilitated by the team’s people leader.
What you will bring:
- A completed master’s degree or current enrolment in a PhD programme in Statistics, Economics, Computer Science, Physics, Psychology, Behavioural Science, or a related discipline with a strong quantitative component.
- Proficiency in Python or R for statistical analysis and a basic understanding of SQL.
- Experience creating data visualisations using tools such as Python, R, Power BI or Tableau.
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;
- Healthcare Scheme
- Employee Assistance Programme
- Two volunteer days per year
- 21 Annual leave days (Pro-rata depending on contract length)
Please click here for further information about AIB’s PACT - Our Commitment to You.
Key Capabilities
- Promotes Innovation
- Collaborates
- Instils Trust
- Data Analysis
- Data Visualization
- Statistical Modelling
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, Mia Coyne, at [email protected] for a conversation.
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 : October 30, 2026