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SEA Data Scientist (SEA Risk Advisory)

Date:  17-Mar-2023
Service Line / Portfolios:  Cyber & Strategic Risk

Kuala Lumpur, MY Ipoh, MY Johor Bahru, MY Malacca, MY Penang, MY

What impact will you make?

At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and community. Whatever your aspirations, Deloitte offers you a highly inclusive, collaborative workplace and unrivalled opportunities to realize your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals.

So what are you waiting for? Join the winning team now.

Work you’ll do


  • Participate in designing, executing and delivering advisory services to high growth organizations with a diverse team consisting of data scientists, data architects, software developers, information designers, and business/industry subject matter experts.
  • Participate in the full cycle of data science process, from problem definition, data wrangling to machine learning modeling, and collaborate in a cross-functional team to ensure quality of models and analysis.
  • Play a supporting role in the overall sales process by being the subject matter expert in data science topics and processes.
  • Work on different components of data science and engineering projects including client projects, development of machine learning platform and communication with internal stakeholders and external clients.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Associates / Analysts / Consultants across our Firm are expected to:


  • Understand the expectations set and demonstrates personal accountability for keeping own performance on track.
  • Understand how our daily work contributes to the priorities of the team and the business.
  • Demonstrate strong commitment to personal learning and development.
  • Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.
  • Work effectively in diverse teams within a highly inclusive team culture where everyone is supported, respected and recognized for their contribution.



  • Minimum of Honors Bachelor’s degree in a quantitative discipline including Econometrics, Marketing Science, Decision Sciences, Applied Mathematics, Statistics, or other quantitative field is required.
  • Must have 2 to 4 years of experience as Data Scientist.
  • Strong interest with applied machine learning and statistical modeling. Basic knowledge in predictive modeling, clustering, natural language processing, and / or other machine learning techniques preferred.
  • Prior exposure to the field of data science working with structured data is preferred, in particular, applying supervised and unsupervised machine learning techniques to applied problems such as customer segmentation and fraud detection or risk analysis.
  • Working knowledge of Python is required.
  • Enthusiastic about solving complex problems with a variety of analytical tools
  • Strong oral and written communication skills are required.

Due to volume of applications, we regret only shortlisted candidates will be notified. Candidates will only be contacted by authorized Deloitte Recruiters via firm’s business contact number or business email address.


Requisition ID:  97536

In Malaysia, the services are provided by Deloitte and other related entities in Malaysia ("Deloitte in Malaysia"), which are affiliates of Deloitte Southeast Asia Ltd. Deloitte Southeast Asia Ltd is a member firm of Deloitte Touche Tohmatsu Limited. Deloitte in Malaysia, which is within the Deloitte Network, is the entity that is providing this Website.

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