Sr. Data Scientist
South Jakarta, Jakarta, Indonesia
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll bring
All qualificationsCore experience
- Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score)
- Proficiency in programming languages such as Python or R.
- Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
- Experience with SQL and database management.
- Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong communication and presentation abilities.
Preferred experience
- Familiarity with big data & cloud technologies is a plus.
Qualification wording
Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score)
Proficiency in programming languages such as Python or R.
Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
Experience with SQL and database management.
Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
Strong communication and presentation abilities.
Familiarity with big data & cloud technologies is a plus.
Tools in this posting
- Python
- SQL
- AWS
- NumPy
- pandas
- R
- Google Cloud (GCP)
- scikit-learn
Source — Tool mentions in context
- Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score) - Proficiency in programming languages such as Python or R. - Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
- Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering). - Experience with SQL and database management. - Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
#Creative Tech for Better Change Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.
- Experience with SQL and database management. - Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn). - Familiarity with big data & cloud technologies is a plus.
Job description
Job Description
Key Responsibilities:
Model Development: Design, build, and deploy advanced propensity models, credit risk models, and other statistical models to address various business challenges within the banking domain.
Data Analysis: Conduct in-depth analysis of large and complex datasets to identify trends, patterns, and anomalies.
Analytical Solution: Develop and implement analytical solutions for banking operations, including customer segmentation, fraud detection, and performance optimization.
Collaboration: Work closely with business stakeholders, data engineers, and other teams to understand business requirements and deliver effective data-driven solutions.
Reporting: Present findings and model performance to both technical and non-technical audiences in a clear and concise manner.
Innovation: Stay updated with the latest advancements in data science, machine learning, and the banking industry to propose and implement innovative solutions.
Qualifications
Qualifications:
● Experience: Minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the banking or financial services industry.
● Technical Skills:
- Good understanding on building performance dashboards, sales models (propensity, segmentation, income proxy), credit models (A-score, B-score)
- Proficiency in programming languages such as Python or R.
- Strong knowledge of machine learning algorithms (e.g., classification, regression, clustering).
- Experience with SQL and database management.
- Hands-on experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Familiarity with big data & cloud technologies is a plus.
● Industry Knowledge: Proven experience in building and deploying models for credit risk, propensity modeling, or other relevant banking analytics projects.
● Soft Skills:
- Excellent problem-solving and analytical skills.
- Strong communication and presentation abilities.
- Ability to work independently and as part of a team in a fast-paced environment.
Additional Information
This position will be assigned to an FSI client's project.
Company Description
Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity.
By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.
With 25 years’ of experience and 8,000 employees across Europe and the Middle East, Devoteam promotes responsible tech for people and works to create better change.
#Creative Tech for Better Change
Devoteam has launched in January 2021 its new strategic plan, Infinite 2024, with the ambition to become the #1 EMEA partner of the leading Cloud-based platform companies (AWS, Google Cloud, Microsoft, Salesforce, ServiceNow), further reinforced by deep expertise in digital strategy, cybersecurity, and data.
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.
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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
South Jakarta, Jakarta, Indonesia
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
- May 13, 2026
- Recorded sightings
- 382
- Last seen by us
- Oct 11, 2026
- Employer says posted
- Apr 7, 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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