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EY Data Scientist Associate - Financial Services Assurance - London in London, United Kingdom

Data Scientist Associate - Financial Services Assurance - London


Requisition # LON00HAL

Post Date 5 days ago

Do you think “Innovation” should be more than just a buzzword?

The opportunity

Are you passionate about disrupting one of our core service lines, one that hasn’t changed materially in the last 100 years, bringing it truly into the 21st century?

Are you a high potential graduate looking for something a little out of the ordinary for exciting role in finance industry?

If so then we have just the role for you; A fantastic opportunity to work within UK Financial Services Assurance focused on Innovation utilising Artificial Intelligence technologies to augment and enhance our people’s roles. We need you to help us design, build and deliver AI, deep and machine learning solutions and tools that will vastly improve the quality and efficiency of our audit and assurance domains.

Your key responsibilities

  • Collaborate with Assurance professionals andtake research ideas to real-world applications or service offerings in auditand assurance

  • Analytic techniques to generate insights fromboth structured and unstructured data

  • Promoting the team and their initiativesthrough both internal and external communications

  • Coordinating amongst the team, with UK&Iand EMEIA FSO innovation teams and with overseas and offshore innovation hubs

Skills and attributes for success

  • A creative, open-minded, first principlesthinker who is willing to challenge the status quo and isn’t deterred byfailure

  • Capable of working with a strong attention todetail

  • Experienced at working in or have a keeninterest financial services

  • Experienced at working in an agile environment

  • Excellent at prioritising tasks

  • A highly motivated self-starter

To qualify for the role you must have

  • Knowledgeable and preferably experienced withprogramming languages such as: Python, R, .net, Java, VB

  • Knowledge of Deep Neural Networks andframeworks such as Tensorflow/ Keras/ PyTorch

Ideally, you’ll also have

  • Experienced with: Spotfire, SQL, SAS, Tableau

What we look for

  • A highly motivated self-starter with excellentcommunication skills and the ability to present technical details clearly

What working at EY offers

We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

  • Support, coaching and feedback from some ofthe most engaging colleagues around

  • Opportunities to develop new skills andprogress your career

  • The freedom and flexibility to handle yourrole in a way that’s right for you

EY is committed to being an inclusive employer and we are happy toconsider flexible working arrangements. We strive to achieve the right balancefor our people, enabling us to deliver excellent client service whilst allowingyou to build your career without sacrificing your personal priorities. Whileour client-facing professionals can be required to travel regularly, and attimes be based at client sites, our flexible working arrangements can help youto achieve a lifestyle balance.

About EY

As a global leader in assurance, tax, transaction and advisory services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.

If you can confidently demonstrate that you meet the criteria above,please contact us as soon as possible.

Make yourmark.

Apply now.