Offers “Ernst & Young”

Expires soon Ernst & Young

Data Scientist, TTT

  • The City (London)
  • Studies / Statistics / Data

Job description



Job title: Data Scientist

Location: London 

Opening date: 05/02/2019

Closing date:  05/03/2019

Number of roles: Multiple roles available

At EY, technology is embedded in the solutions and services we provide to our clients and underpins everything that we do – we create value through developing transformational solutions across tax, risk, strategy, finance, law, people and operations.

Our tax clients are turning to us for help with emerging technologies such as artificial intelligence and blockchain. Within TTT, we use modern techniques and approaches, learning from contemporaries in the technology world. And, although we adhere to process, we are not ruled by it, preferring to work in a flexible and dynamic way, instead.

The opportunity

We are looking for a data scientist to join the Emerging Technology team in our TTT business. This role will focus on applying common data science techniques and emerging machine learning approaches to complex problems involving tax-related data within EY’s Tax business in the UK. Working with the head of Emerging Technology and the team’s Senior Data Scientist, this role will enable the individual to gain significant practical experience and business knowledge.

Our Emerging Technology team has strong links with other advanced technology and innovation teams in EY both in the UK and worldwide, including the Global AI Lab and the Advanced Technology Tax Lab, both in the USA.

Your key responsibilities
·  Working with stakeholders within TTT, the wider business and with clients to identify opportunities for using data and emerging technologies like AI to solve business challenges
·  Carrying out tasks associated with data wrangling, cleansing and exploration
·  Researching and implementing custom statistical models and machine learning algorithms for classification, regression and transformation
·  Executing proof-of-concepts and pilots to evolve an idea into a successful prototype or solution 
·  Coordinating with TTT’s engineering and software development team (the ‘Hive’) to help integrate solutions into their continuous business / process / software sprint cycle. 
·  Communicating results and ideas to key stakeholders and decision makers 
Skills and attributes for success
·  Proven experience as a data scientist, being able to demonstrate the application of common statistical and machine learning techniques to business problems
·  Strong proficiency in Python or R
·  Excellent communication and presentation skills
·  The ability to work and collaborate with an interdisciplinary team of software developers, data scientists, data engineers and subject-matter professionals from TTT and the wider tax practice.
To qualify for the role you must have
·  Familiarity with cloud-based data science and machine learning services and APIs (e.g. Microsoft Azure)
·  Familiarity with web application development (e.g. using Shiny)
·  Knowledge of sequence-to-sequence models, or the use of RNNs/LSTMs for text processing
·  Knowledge of Deep Neural Networks and frameworks such as Tensorflow, Keras, PyTorch   
·  Knowledge of APIs, Git.
Ideally, you’ll also have
·  Experience of managing large and complex projects
You will be a great fit if you are:
·  Curious – you like to understand why things are done the way they are, and how they could be continuously improved
·  Collaborative – you work well with others to develop a stronger outcome than achieved individually. You seize learning and knowledge sharing opportunities
·  Empathetic – you take the time to understand what drives other team members, what motivates them and how to achieve mutual objectives
·  Humble – you actively seek feedback, and feel comfortable providing it to others. You are not overly influenced by organisational hierarchy
·  Reflective – you are comfortable re-evaluating your view when presented with contrasting facts and your opinions
·  Energetic – you are excited by what you do and you bring an enthusiasm to your job.

What we look for
 

We are not perspective about in the technology that you have experience in as long you as you are eager to use the best available technology for the project and open to working with new tools and approaches.

 
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 of the most engaging colleagues around
·  Opportunities to develop new skills and progress your career
·  The freedom and flexibility to handle your role in a way that’s right for you

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to 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.

 
Join us in building a better working world.

Make every future a success.
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