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Kredivo Group

Data Scientist

Kredivo Group Singapore

Financial Services · 1,001-5,000 employees

Sep 17
data-scientist Mid (2-5 yrs) Full-time Singapore
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About the role

You will take full ownership of turning discoveries and ideas into machine learning models within a multi-disciplined team. This includes prototyping diverse models and researching ways to improve them using unique data sets.

What they look for

Machine Learning Python R RDBMS MySQL PostgreSQL No-SQL S3 Predictive Modeling Data Science Credit Scoring Recommendation Engine Deep Learning NLP Statistics Mathematics

Requirements

Candidates must have at least 2 years of relevant experience and a degree in a quantitative field such as Computer Science, Mathematics, or Statistics. Proficiency in Python or R and experience with RDBMS and No-SQL platforms are required.

Full description

As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding.

About the Job:

  • Working in a multi-disciplined team where you’ll take full ownership of turning discoveries and ideas into machine learning models.
  • Prototyping diverse machine learning models, from credit scoring to recommendation engine.
  • Researching & Development on how to improve our models, by using our vast amount and unique set of data.
  • Actively contribute to taking Data Science at Kredivo Group to the next level.

About you:

  • Minimum 2 years of relevant work experience.
  • Graduated from the major of or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
  • Capable to build robust end-to-end predictive models using the latest Machine Learning techniques and methodologies.
  • Proficiency in Python or R.
  • Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
  • Excellent English communication skills.

Bonus points (optional) for:

  • Experience with alternate data to evaluate credit risk.
  • Experience in building end-to-end Deep Learning and/or NLP models.

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