SEA Data Scientist
Kuala Lumpur, Malaysia
Data Visualization & Communication
Full Time
The Employer

This company is a global network of member firms, and their related entities. Its member firms, or their related entities is, by means of this publication, rendering professional advice or services. This company is a leading global professional services organisation delivering Audit, Tax, Risk Advisory, Financial Advisory Services and Consulting through its network of member firms. They operate in Malaysia, Brunei, Cambodia, Guam, Indonesia, Lao PDR, Myanmar, Philippines, Singapore, Thailand and Vietnam; established to deliver measurable value to the particular demands of increasingly intra-regional and fast growing companies and enterprises. HQ based in TTDI, KL.

Perks & Benefits

Medical, Education support, Dental, Vision, EPF,SOCSO

Mission and goals

At the company, we place great emphasis on offering competitive benefits that enhance work-life integration for your continuous growth in both personal and professional aspects. In addition to annual leave, medical and insurance coverage that we offer, we understand that attracting the highest caliber talent means offering an exciting job and a healthy balance between work commitments and social and family life through our various initiatives.


The culture? It’s about inclusion, collaboration, high performance, and opportunity. The company hires the top talent in every market and offers them access to the opportunities to do their best work and succeed. Right from the start, you will be part of a team serving a group of select member firm clients or making a difference on a business-critical internal project. And offers access to opportunities that support your growth, develop your skills, and guide you to reach your goals.

Life at the company can also be very flexible. The days of one set path to career success are long over. You will have the flexibility and choice to customize and build the career and life you want. A variety of benefit programs and competitive compensation can offer the security you want for yourself and those important to you now and in the future. And because the company operates in over 150 countries, life here might include an international work opportunity. Sound like the life for you?

  • 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:

  • 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.
Skillset Requirements
  • 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.