Description of Business Unit:

Group Internal Audit (GIA) is on a journey towards a digital future, where automation, technology and data will act as key enablers to both what we do, and how we do it. The Data Science & Analytics function within GIA is responsible for the development and execution of GIA's 'Digital & Data' strategy and digital transformation roadmap (DTR), to enable GIA to embed technology, data science and automation techniques at the heart of its operating model.

Purpose of the Role:

This is a cross functional individual contributor role to develop complex, multi-component data insight and reporting solutions to realise value from both the Group's and external data. You will contribute towards GIA's multi-year digital transformation strategy, through the development of multi-component data insight and reporting solutions, the creation and embedding of 'smart processes' and input into GIA's technology strategy and implementation plan. You will also be responsible for the rollout of key capability and training initiatives across the division, utilising Agile principles and methodologies, designed to increase our overall level of digital and data capability across GIA.

Key Accountabilities:

• Deliver hypothesis testing, exploratory analysis and insights projects for senior management to drive business insights and proactive risk management across the Group, from initial requirements through to project completion.
• Design, develop and implement insight and management information solutions to present data driven insights to senior management within GIA, and across the Group.
• Design, develop and implement end-to-end (E2E) complex data transformation processes to unify data from multiple internal and external sources.
• Contribute towards the 'Digital & Data' strategy (and underpinning initiatives) and the wider Data Science & Analytics function through the identification of new value add data exploitation and continuous improvement opportunities.
• Collaborate cross-functionally with other teams within Group Internal Audit, and across the wider Group to refine recommendations and develop next best action plans for risk management.
• Promote awareness of data science, emerging industry trends (incl. regulation) and a digital future across Group Internal Audit.
• Contribute to a creative culture centred on an agile environment, value prioritisation and design thinking.
• Support the design, development and implementation of Enterprise level data science solutions as needed.

What is the Opportunity?

You will work as part of a dynamic and ambitious team, and be a driving force behind digital transformation in GIA. You will gain significant exposure to developing data insight and analysis solutions to extract value and insights from numerous, disparate, complex data sources. You will also have the opportunity to support the development of data science solutions end to end, leveraging applied statistics and supervised/unsupervised machine learning methodologies, on both structured and unstructured datasets.

You will also gain exposure to solution architecture, strategy development/execution and project management. This is a high visibility role within division and a great opportunity for you to make a difference to our colleagues, customers and stakeholders, through leveraging data as an asset.

Working at Bank of Ireland doesn't have to mean working in an office to have an impact. Our commitment to enabling colleagues to thrive means that depending on role type you can have choice and flexibility in where you work and live, subject to your role,customer needs and our requirements. We have a hybrid working model, with home, agile hub and office based options available. We will always list a primary location which can be where you go for in person collaboration, and a location where you can best perform your role.

Please note you must live in the jurisdiction for the business to which you are contracted.

This job can be done anywhere in ROI with the primary office location as Dublin to which travel will be required for in person collaboration. Exact frequency to be agreed with manager.

Essential Skills & Experience:

• Demonstrable experience in developing and implementing business focussed data insight and analysis solutions, translating the needs of the business into a scalable, fit for purpose solution for stakeholders.
• Demonstrable experience in testing complex hypotheses and performing 'deep dive' analysis across a wide variety of functional domains.
• Demonstrable experience in the design, development and implementation of comprehensive management information and reporting solutions.
• Demonstrable experience in leveraging SQL and Python to acquire, transform and extract insights from large scale complex datasets.
• Strong attention to detail and high levels of accuracy and a strong team ethic and flexible approach in order to meet challenging objectives and deadlines.
• Excellent time management and organisational skills with the ability to work on own initiative.
• High level of discretion, capable of dealing with highly confidential and sensitive information.

Desirable Qualifications, Skills & Experience:

• Knowledge of the Cloudera Hadoop platform, and associated analytical tools (i.e. pySpark).
• Experience in the end to end development of data science solutions in a real world business environment would be advantageous but not essential.