Quick Summary
Overview
As a Data Scientist you’ll be part of a team that is working on cutting edge machine learning models.
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Data ScientistData
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 Role
~1 min read- Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models.
- Prototyping diverse machine learning models, from credit risk to growth related models.
- 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.
- 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 of building 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.
- NON NEGOTIABLE - Deep risk domain expertise, building credit risk modelling (3-4yrs)
- Independent and good communication skills
- Strong in statistics and math
- Good to have: Experience working in finance institute
#LI-AL1
Location & Eligibility
Where is the job
Jakarta, ID
On-site at the office
Listing Details
- Posted
- September 7, 2026
- First seen
- September 29, 2026
- Last seen
- September 29, 2026
Posting Health
- Days active
- 0
- Repost count
- 1
- Trust Level
- 26%
- Scored at
- September 29, 2026
Signal breakdown
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