Join to apply for the Data Scientist role at .

• Belfast, United Kingdom
• Full time
• Closing on: Sep 11 2025

What is the opportunity?

As a Data Scientist on the Customer Analytics Marketing Effectiveness team, you will generate value from the detailed web analytics and customer data available to Group Marketing. With this data we have the potential to deliver further insights that can drive improvements in marketing efficiency.

You will have the chance to take ownership whilst working collaboratively to build out a programme of analytical work that will provide actionable insights on marketing channel & campaign performance. You will address diverse challenges, including designing and analysing A/B tests, econometric modelling, conducting in-depth data analysis to uncover growth opportunities, build scalable modelling solutions and influence business decisions and strategy.

These insights will give you the opportunity to make data backed recommendations that drive tangible improvements to the bottom line for the business!

This role is a 12 month fixed term contract.

In This Role, You Will

• Design and analyse experiments (A/B tests, causal inference studies) to measure marketing effectiveness and guide business decisions.
• Apply advanced statistical methodologies (e.g., Instrumental Variables, Synthetic Control, Propensity Score Matching, Market Mix Modelling, Panel & Time-Series Econometrics, Statistical Learning Techniques) to measure the causal impact of marketing, pricing & external factors on key business outcomes.
• Engage with partners across marketing, Customer Analytics, GWS, Product Teams and external agencies to find opportunities to enhance web analytics or marketing performance and drive improved marketing efficiency.
• Use Agile methodologies to manage and deliver a pipeline of planned improvements, utilising strong partner management skills to ensure the programme of delivery is successfully delivered and communicated.
• Deliver actionable recommendations to improve the effectiveness of marketing campaigns and initiatives. Influence key decision makers to ensure data driven insights are used to inform marketing planning and design.
• Act as a senior lead within the team, driving improvements in quality of work and ways of working.

What will make you stand out?

• Expertise & experience in econometric and statistical modelling, including time-series analysis, panel data, survival analysis and causal inference methods.
• Proficiency in Python or R, with experience in statistical and machine learning libraries (Statsmodels, PyMC, causalml, survival etc)
• Experience working with large datasets, utilising strong skills in SQL and data wrangling, preferably in a marketing analytics function.
• Ability to translate complex statistical findings into clear, actionable insights for business decisions.
• Strong data visualisation, communication and partner management skills.
• Excellent problem-solving abilities and leadership skills to mentor junior team members and drive innovative solutions.

Desirable qualifications

• MSc or PhD (or equivalent) in Econometrics, Statistics, Mathematics, Economics, Epidemiology, Public Health, or a related field with emphasis on applied statistics and data analysis.
• Bayesian Modelling (Hierarchical (Multilevel) models, Bayesian Shrinkage and Bayesian A/B testing).
• Marketing Mix Modelling (MMM) and media attribution models.
• Cloud computing platforms (AWS, GCP, Azure) and Git.
• Web and google analytics.
• Applying Machine Learning algorithms in causal inference setting, such as optimising IPTW weight estimation by minimising maximum covariant imbalance.
• Causal Machine Learning.

Essential Qualifications

There are no specific qualifications or minimum educational requirements needed for this role.

More About The Team

The Group Customer Analytics & Transformation team sits within the Group Marketing function and supports our customers, colleagues and partners across Ireland, UK and Internationally.

In a changing market environment, where customer expectations continue to grow and there is an increasing demand for personalised customer experiences, Customer Analytics is leading the charge to enable and deliver this personalised experience through data analytics.

Why work with us?

The Bank of Ireland company culture prioritises work-life balance with a commitment to hybrid working, along with 23 days annual leave and excellent pension contributions. Family can mean different things to different people; we offer 6 months paid maternity leave, an innovative fertility and surrogacy policy along with working parent and carer supports.

Your health and wellbeing is important to us; we offer a substantial health insurance contribution, employee assistance program, WebDoctor and financial wellbeing coaches. We also encourage and support staff to pursue educational and professional qualifications to grow and enhance your career!

Key benefits: hybrid working, wellbeing programs and opportunities for professional development.

Key Competencies

• Customer Focused - Self
• One Group, one team - Self
• Agile - Self
• Accountable - Self
• Amplify Capability - Self

We're on a continuous journey to build an inclusive and diverse workplace. We welcome applications from people of all backgrounds, lived experience, abilities and perspectives. We provide reasonable accommodations at every stage of our recruitment process for disabilities, neurodivergence or medical conditions. If you require an accommodation please complete this form and one of our recruitment team members will be in touch via email. Any information provided will be treated as confidential within the recruitment team and used only for the purpose of determining and providing appropriate accommodations for the application and recruitment process.

Where Agency assistance is required Bank of Ireland Recruitment Team will engage directly with suppliers. Unsolicited CVs / profiles supplied to Bank of Ireland by Recruitment Agencies will not be accepted for this role.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• Banking