This job posting isn't available in all website languages

Senior Associate - Data Scientist, Advisory, Performance Improvement

KUA0020A Requisition #
Thanks for your interest in the Senior Associate - Data Scientist, Advisory, Performance Improvement position. Unfortunately, the link which you have accessed is no longer active. Please CLICK HERE to return to the EY Global careers site and use keywords to search for this job as it still might be active, or you can also review our similar listings and apply.

Due to our continued growth we are looking for a talented, inquisitive and proactive Data Scientist join our team.



Core Competencies


  • Good degree (2:1 or above) in a highly-quantitative field (e.g. Mathematics, Physics, Computer Science, Operational Research, Information Engineering). Postgraduate qualifications will be an advantage, but not compulsory.
  • Demonstrable experience in formulating and solving business problems using mathematical/statistical constructs in order to derive insight into systems
  • Experience in solving the above problems using at least two of the following: Python, R, SAS, SPSS, Java, MATLAB.
  • Familiar with at least one of data visualisation development tools:  Tableau, JavaScript, D3
  • Demonstrable text data analytics experiences using open source tools. Some R&D experience on text and unstructured data processing / learning is preferred.  Experience in acquisition of open data, e.g. scraping.
  • Demonstrable  experience in performing Monte Carlo data simulation
  • Some data competition experience (e.g. on Kaggle platform) and past winning records are a plus
  • Familiar with dimensionality reduction and feature selection techniques.
  • Familiar with SQL. Some knowledge of database systems and SAP data extraction is preferred.
  • Experience in writing clean, maintainable code following good practice.
  • State of the art machine learning techniques, e.g. deep learning/ graph analysis / active learning / transfer learning
  • Data stream mining / mobile data mining / online learning,
  • Constrained optimization techniques such as integer programming, constraint programming, etc.
  • Probability and random processes
  • Semi-supervised / unsupervised machine learning,
  • Some knowledge of big data analytics tools (e.g. Spark, Storm),
  • Implementation of algorithms in production, commercial environments (server-side), including object-oriented design.
  • Some knowledge of database systems and SAP data extraction is preferred.
  • Good problem solving skills, can work with confidence unsupervised, and able to manage multiple concurrent work streams.
  • Team player with good communication skills.



Other Technical Expertise


As well as the core competencies described above, the candidate must also be able to demonstrate technical depth in at least one of the following areas (or similarly-relevant):




Additional Soft Skills Requirements


  • Technically inclined and self-driven to keep up-to-date with the latest technologies.
  • Ability to capture client business requirements and translate into technical specifications.
  • Ability to articulate analytical findings to less-technical business-savvy audience
  • Highly pragmatic, using technology to solve problems expediently.
  • Ability to tactfully challenge in discussion without alienating.


My Profile

Create and manage profiles for future opportunities.

Go to Profile

My Submissions

Track your opportunities.

My Submissions