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Data Scientist

  • Job type: Permanent
  • Job reference: : BBBH129087
  • Location: Singapore
  • Sector: Technology, Insight & Data, R and D
  • Salary: Negotiable
  • Date posted: 12/07/2018
This vacancy has now expired.

Data Scientist

Are you looking to be exposed to a variety of industries and projects? Being able to run analytical methods on a range of datasets in a project led basis, on a high energy data delivery team. Come join our team of Data Scientists, all working for a vast amount of project types and clients.

The work will be varying in hands-on technical work from predictive analytics, natural language processing and machine learning to name a few. Be a part of analysing and gaining industry exposure in an exponential manner through data analytics and scientific methods.

Role and Responsibilities

  • Highly technical and hands on in modelling and predictive analytics, working in a team setting to help hit business insights and understanding through data analytics.
  • Looking for continual growth and ability to suggest and apply new technologies using machine learning, deep learning and artificial intelligence if need be.
  • Cooperative and able to work in a team based setting, bouncing ideas across one another to enable the best solution is found.
  • Understanding of data requirements and driving analytical insights from there.

Skill Requirements

  • Preferably Bachelors or Masters in Computer Science, Mathematics, Statistics or similar field
  • Minimally 2 years work experience in data related work, either as Data Analyst or Data Scientist
  • Extensive experience previously with machine learning and/or statistical modelling
  • Ability to drive data insights from the analytical methodology
  • Effective communication skills
  • Proficiency in Python and / or R

For interested candidates, please forward your CV to

Registration number: R1871517

License number: 13C6321

For more information about this role please contact our Singapore office Spencer Ogden Energy Pte Ltd Agency License Number: 13C6321