EY Data Scientist - Senior Consultant in London, United Kingdom

Data Scientist - Senior Consultant

Advisory

Requisition # LON00E9M

Post Date Jun 22, 2018

Data Scientist, Senior Consultant

Location: London

Salary: Competitive

Opening date: 22/06/18

Closing date: 20/07/18

Hours: 35 hour per week, Monday - Friday

Multiple roles available

The UK Data & Analytics Centre of Excellence offers a broad range of advice to our clients in domains such as:

  • Business & data architecture, data quality and data ingestion process design

  • Information design, standard and regulatory reporting, management dashboards

  • Architecture as a Service and Analytics as a Service

  • IoT and digital driven solutions

  • Advanced analytics across risk, customer, finance, supply chain and digital intelligence

  • Robotics Process Automation (RPA), meant to automate our clients’ current processes, performing process analysis, process re-engineering and software implementation

  • We have a broad experienced and energetic team based across the UK and we work with the most innovative technologies in our field.

We are currently looking for capable, motivated professionals to join the team as Data Scientist and Machine Learning specialists. The job entails building machine learning models to be used in solving business problems for our clients across all industry sectors.

Tasks & responsibilities:

Apply statistical or machine learning techniques design, and development of processes meant to operationalize derived analytical models into business applications

Research, design and develop state-of-the-art machine learning algorithms, tools and systems

Identify added-value insights from data and build that into visualizations

Support transformation processes towards a data centric culture

Work closely together with colleagues from other departments, in domains such as risk management, business optimization and customer intelligence

To qualify for the role you must have :

To qualify for the role you must have :

  • Degree in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering and Computing Science

  • Professional experience with analytics projects including Data Warehouse Solutions

  • Machine Learning theoretical knowledge and practical experience including Machine Learning Algorithms such as NLP or decision trees

  • Knowledge in at least two of the following modelling/analysis software packages: MATLAB, R, SAS, SPSS

  • Expert in Python, including knowledge of at least one of the following: Numpy, NLTK, Matpotlib, Pandas or Geopandas

  • Experience across multiple industries including the Banking/Finance sector

In addition, the following skills would be welcomed:

Experience with Agile methodologies

A related Master’s Degree

What working at EY offers:

You will learn from some of the most engaging experts in the industry

You will join a team of experts, who deploy innovative solutions in the Data & Analytics field.

Our commitment to diversity & inclusion

At EY we are genuinely passionate about inclusion and we support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.

About us / Who we are :

At EY we have set up a state-of-the-art centre of excellence in Data and Analytics with the team comprises a group of international experts, working in secure data-labs and supported by the latest technical infrastructure. Joining EY’s Data & Analytics Centre of Excellence in this exciting period will offer a variety of challenges, and the opportunity to make an impact on our clients’ businesses and your professional career.

Who we are

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.