Senior 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 across different countries.
Prototyping diverse machine learning models, from credit risk to growth related models.
Take full ownership of turning ideas into machine learning models
Prototype machine learning models, from credit risk to growth
Research how to improve models using the company's unique data
From the employer’s posting
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.
Take full ownership of turning discoveries and ideas into machine learning models.
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
- 5+ years of relevant work experience
- Masters, PhD or equivalent in a quantitative field
- Ability to build end-to-end predictive models with modern ML techniques
- Proficiency in Python or R
- Credit risk modelling experience (3-4 years)
Preferred experience
- Experience with alternate data for credit risk
- Experience building end-to-end deep learning or NLP models
- Experience working in a finance institution
Qualification wording
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.
Deep risk domain expertise, building credit risk modelling (3-4yrs)
Experience with alternate data to evaluate credit risk.
Experience in building end-to-end Deep Learning and/or NLP models.
Experience working in finance institute
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
- R
- SQL
- MySQL
- PostgreSQL
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 7, 2026 · 46 days ago
- Recorded sightings
- 101
- 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.
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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 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
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Source details
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- Pay
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- Location & working pattern
Jakarta, ID
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- Work authorization
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