AI Engineer - Data Scientist

About the opportunity

This position sits within Advanced Analytics and offers the chance to contribute to Bank of Ireland’s digital transformation as part of a fast-moving, ambitious team. The role provides broad exposure to building end-to-end data science solutions, using statistical methods and both supervised and unsupervised machine learning on structured and unstructured data to solve important business challenges and unlock value from a wide variety of complex data sources.

It is a highly visible role with the opportunity to make a meaningful impact for colleagues, customers, and partners by demonstrating the value of data as a strategic asset.

What you will do

• Apply advanced analytics to customer behaviour, including usage trends, product interaction, and transaction patterns, and turn findings into actionable recommendations.
• Design, deploy, and oversee machine learning models that support business priorities and stronger decision-making.
• Create data solutions, including new datasets and engineered features, to enable analytics that can scale reliably.
• Collaborate with teams across the organisation to promote the use of enterprise data platforms such as the Enterprise Data Warehouse and Data Lake.
• Develop dashboards and visual storytelling outputs, and partner with senior stakeholders to understand problems and shape practical solutions.

What will help you stand out

The strongest candidates will have proven experience in analytics and hands-on use of several machine learning approaches, including tree-based methods, supervised learning, ensemble techniques, and unsupervised methods.

You should be motivated by solving real business problems with data, comfortable working across a variety of modelling techniques, and able to turn complex information into insights that can be understood and acted on by others.

Confidence with Python and SQL is important, along with experience handling large datasets and working with modern analytics platforms. Experience with MLOps, model monitoring, and explainability is also valuable. Clear communication, teamwork, and the ability to share your views with stakeholders at different levels are essential, as is strong organisation and adaptability in a deadline-driven environment.

Desirable experience

• Background in financial services data analytics and senior stakeholder management.
• Experience building AI and machine learning pipelines, including clustering, classification, deep learning, and/or stochastic modelling.
• Familiarity with large language models, generative AI, and agent-based workflows.

Essential qualification

A third-level qualification in mathematics, statistics, finance, IT, or another subject with a substantial numerical component is required.

About the team

The role reports to the Chief Data & Analytics Officer (CDAO). The Advanced Analytics team leads the creation and delivery of the bank’s data analytics strategy. The successful candidate will deliver analytics and AI initiatives that are prioritised for business value and aligned with the Group’s strategic goals, while also helping define the frameworks, tools, and standards needed to support a data-driven organisation across all levels.

Location and working pattern

This is a hybrid position that can be carried out anywhere in the Republic of Ireland, with the main office location in Baggot Plaza. Travel will be required for in-person collaboration, with the exact frequency to be agreed with the manager.

Why work here

The company emphasises work-life balance and offers flexible working, 23 days of annual leave, and strong pension contributions. Family-friendly support includes 6 months of paid maternity leave, a fertility and surrogacy policy, and support for working parents.

Employee wellbeing is supported through an assistance programme, WebDoctor access, and financial wellbeing coaches. The organisation also encourages staff to pursue educational and professional qualifications to develop their careers further.

Key competencies

• Customer focus
• Collaboration
• Decision-making
• Ownership
• Risk management

Additional information

The employer is committed to equal opportunities and to building an inclusive workplace that benefits from workforce diversity. Reasonable accommodation is available throughout the application and interview stages; assistance requests can be directed to [email protected].

Where agency support is needed, the recruitment team will work directly with suppliers. Unsolicited CVs or profiles from recruitment agencies will not be accepted for this role.