Senior Data Scientist
Singapore
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Proficiency in Python or R.
- Experience with alternate data to evaluate credit risk.
- Experience in building end-to-end Deep Learning and/or NLP models.
Qualification wording
Proficiency in Python or R.
Experience with alternate data to evaluate credit risk.
Experience in building end-to-end Deep Learning and/or NLP models.
Education & alternatives
- Minimum >5 years of relevant work experience. - Masters, PhD 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.
Tools in this posting
- Python
- MySQL
- PostgreSQL
- R
- SQL
- 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.
Job description
As a Senior 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 to the next level.
About you:
- Minimum >5 years of relevant work experience.
- Masters, PhD 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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Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on kredivo-group.breezy.hr. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- 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
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Sep 17, 2026
- Recorded sightings
- 62
- Last seen by us
- Oct 9, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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