The EY Data and Analytics team are specialists in information management, advanced analytics and business intelligence. We implement the information-driven strategies and systems that offer the highest return on investment, profitability, and service or policy outcomes for our clients. Our consultants work to create a lasting organisational culture that encourages people to use information and technology more creatively and more intelligently to get better business results.
Due to our continued growth we are looking for a talented, inquisitive and proactive Data Scientist join our team.
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.
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.