Data Scientist
Singapore
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s listing: Full-Time
From the employer’s posting
What you’ll work on
Full postingTurn discoveries and ideas into machine learning models
Prototype diverse models, such as credit scoring and recommendation engines
Research how to improve models using the company's unique data
From the employer’s posting
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.
What you’ll bring
All qualificationsCore experience
- Minimum 2 years of relevant work experience
- Degree in a quantitative field such as Computer Science, Mathematics, or Statistics, or equivalent experience
- Ability to build end-to-end predictive models with modern ML techniques
- Proficiency in Python or R
- Exposure to RDBMS (MySQL, PostgreSQL) and NoSQL platforms (S3)
Qualification wording
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).
Tools in this posting
- Python
- R
- SQL
- MySQL
- PostgreSQL
- S3
Source — Tool mentions in context
- 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).
- Proficiency in Python or R. - Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3). - Excellent English communication skills.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 17, 2026 · 36 days ago
- Recorded sightings
- 78
- Last seen by us
- Oct 23, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on kredivo-group.breezy.hr. The employer’s form will show what is required.
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Job 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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Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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