Data Scientist
Jakarta, ID
- 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 postingWorking 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.
Prototype machine learning models, such as credit scoring and recommendation engines
Research and develop ways to improve models using the company's data
Own work from initial idea generation through to final implementation
From the employer’s posting
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.
take full ownership of your work – from the initial idea-generation phase to the implementation of the final product.
What you’ll bring
All qualificationsCore experience
- At least 2 years of relevant work experience
- Degree in a quantitative field or equivalent experience
- Ability to build end-to-end predictive models with modern machine learning methods
- Proficiency in Python or R
- Exposure to relational and NoSQL databases such as MySQL, PostgreSQL, or 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 errorOpen 4 monthsWe first saw this listing 143 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026 · 143 days ago
- Recorded sightings
- 182
- Last seen by us
- Oct 24, 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.
Already applied? Track this application
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 role:
- 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.
Thank you for your interest in Kredivo. We’re thrilled that you’d like to join our company. Unfortunately, days are short and applicants are many, so we won’t have time to meet everyone. If you are among qualified candidates, you will receive a call or email from our Talent Acquisition team.
#LI-AL1
Source details
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
Jakarta, ID
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.