Operational Analytics and Research Graduate Programme

at  Ernst Young

ABOUT THE PROGRAMME

Our clients are always looking for ways to make optimum use of their physical assets, from workforce to machinery and more. We utilise advanced analytics and Operational Research techniques to help them find ways to do this. As a member of this team, you can expect to be immersed in a fast-paced learning environment – where you’ll enjoy every opportunity to build a better working world alongside colleagues who will push you to reach your full potential.

ARE YOU ELIGIBLE TO APPLY?

We operate an open access policy, meaning we don’t screen out applications on your academic performance alone. You will, however, need to be working towards an honour’s degree in Operational Research, Management Science or MORSE (Mathematics, Operational Research, Science and Economics), have a minimum of grade 4/C GCSE (or equivalent) in English Language and Maths, and three A-levels/Five Highers (or equivalent).
We welcome applications from all academic backgrounds and are looking for people who will succeed at EY today and tomorrow. That’s why, through our recruitment process, your academic performance will be considered against your online assessment scores to determine your suitability for an EY role. We’re also proud to partner with RARE recruitment, so that your application can be processed in the context of your socio-economic background.
EY recognises that it has clear obligations towards all its people and the community at large to ensure that partners, employees and job applicants are afforded equal opportunities to enter employment and progress within the firm. As an employer committed to establishing an inclusive environment free from unlawful discrimination, the firm promotes the fair treatment of staff members and job applicants regardless of their sex, gender identity, marital or civil partnership status, race, ethnic or national origin, disability, religion, sexual orientation, age or pregnancy/maternity status

• Using innovative techniques like simulation, machine learning, scenario modelling and visualisation.
• Working directly with clients and as part of large EY teams in their offices or at EY.
• Learning on the job from senior colleagues as well as through structured learning.