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Data & Analytics Graduate Programme

Date: 06-Feb-2019

Location: Dublin, IE, IE

Company: Allied Irish Bank

Role:  Data & Analytics Graduate Programme

Location: AIB Burlington Road, Dublin 4 & AIB Central Park, Leopardstown

 

Who you are

You are one of the best and brightest graduates – ready for an opportunity to join an advanced Data & Analytics team. You believe in the strength of teamwork and can work with experienced colleagues to deliver innovative solutions to complex problems. You are highly motivated, inquisitive and ready for this opportunity to join a growing area.

 

Who we are

AIB is a dynamic, diverse and a fun place to work. We are changing from the inside out to become a bank people can believe in. And by people, we mean our employees as well as our customers. We back our customers and employees dreams and ambitions!

We are investing in the future with a heavy focus of building out our new Data & Analytics Centre of Excellence – so it’s a great time to join and help shape and grow this function, help us become a data driven bank with best in class analytical capabilities.

Within Data & Analytics you’ll experience a diverse workforce where everyone has the opportunity to reach their potential. We work in an agile environment that empowers its people, where your voice is heard and where you’ll be invested in to learn and grow along the way.

 

We will challenge you with real business problems and we’ll tool you with the best technologies to deliver innovative solutions across many aspects of Data & Analytics e.g.

 

  • Big Data Engineering
  • Machine Learning
  • Data Exploration
  • Statistical Research and Insights
  • Data Science
  • Visual Analytics
  • Statistical Modelling / Time Series Modelling / Regression Modelling

And many more…..

 

Our Graduate Training and Development programme has been designed to help you develop the behaviours that will accelerate your growth throughout the programme and beyond. We offer mobility across different areas and different roles, providing you with plenty of opportunities to expand your experience, your knowledge and build your network across the organisation.

 

We’ll encourage you to join and engage with our Employee Resource Groups, under our iMatter programme. These are self-formed groups of employee volunteers that come together because they are interested in a particular topic, usually related to diversity and inclusion. These groups such as Family Matters, Women Matters, Pride Matters, Roots Matters, Men Matters, and Ability Matters are fully supported by AIB. They create a social outlet, provide support, raise awareness, lobby for change and drive improvements on employment practices.

 

What’s in it for you?

  • Analyst induction events
  • Customised learning programme
  • Financial support for further education
  • Study leave
  • Regular performance reviews
  • Progression opportunities
  • Mentoring
  • Networking events
  • Employee Resource Groups

 

About Rotations

In our Graduate Programme we promote mobility, through a formal Rotations across our teams, therefore we are looking for dynamic graduates who like to be challenged and learn quickly. There will be opportunities to work in different areas of Data & Analytics such as:

  • Chief Data Office
  • Chief Analytics Office
  • Data Engineering and Architecture

 

What you’ll need

  • A bachelor’s degree (2.1 or higher), in the following disciplines e.g. Science, mathematics, applied mathematics, physics, statistics, engineering, econometrics.
  • Candidates must be fully authorised to work in Ireland for a minimum of 23 months

 

What’s next?

If you meet the minimum criteria and would be interested in joining the team please click apply and complete the online application. If you require further information on this role contact Ross O’Brien from our Grad team on 01 7725012 or email Grads@aib.ie

Posting Notes: Ireland (IE) || [[stateProvince]] || Graduate and Non Graduate Opportunities  || [[mfield1]]  ||


Job Segment: Database, Analytics, Data Analyst, Engineer, Banking, Management, Technology, Data, Engineering, Finance

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