EY Data Scientist Consultant, EY Data and Analytics (Malaysia) in Kuala Lumpur, Malaysia

Data Scientist Consultant, EY Data and Analytics (Malaysia)


Requisition # KUA001UN

Post Date Jul 30, 2018

EY Data and Analytics is the data and advanced analytics capability within EY Asia-Pacific. We have more than 330 specialist staff in Australia, New Zealand, Singapore, Hong Kong, Korea, The Philippines and Malaysia.

EY Data and Analytics creates intelligent client organizations using data & advanced analytics. We go beyond strategy and provide end to end implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientist, big data engineers, developers and consultants in the region.

Due to our continued growth we are looking for a Data Scientist to join our Malaysia 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.

  • 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.


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):

  • 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.


  • 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

  • Good problem solving skills, can work with confidence unsupervised, and able to manage multiple concurrent work streams.

  • Team player with good communication skills.

  • Highly pragmatic, using technology to solve problems expediently.

  • Ability to tactfully challenge in discussion without alienating.


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.


We work with some of the world’s most influential businesses on many of their most exciting Bigdata and IoT projects. Our sheer scale, scope and reach will provide you with the experiences, challenges and contacts that can inspire you for life

Our culture means you can succeed whatever your background, work to your natural strengths, and learn from a remarkably diverse and talented group of people in a dynamic and collaborative global business environment


EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy. 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


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.

Apply now