Senior Data Scientist
Jakarta, ID
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWorking in a multi-disciplined team across different countries.
Prototyping diverse machine learning models, from credit risk to growth related models.
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 of building 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 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).
- 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 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 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.
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 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
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
Jakarta, ID
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 7, 2026
- Recorded sightings
- 75
- Last seen by us
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.