Sr. Data Scientist
Devoteam Open · verified Oct 24, 2026 At a glance
Senior Data Science role at Devoteam. South Jakarta · contract.
Pay not stated Data Scientist salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and put propensity, credit-risk and other statistical models into use for banking problems
- Examine large, complex datasets to find meaningful patterns, shifts and unusual results
- Create banking analytics for customer segmentation, fraud identification and performance improvement
- Work with business partners and data engineers to shape requirements into data-based solutions
- Explain results and model performance to technical and non-technical audiences
What you bring
- At least five years as a data scientist, with substantial work in banking or financial services
- You can build dashboards and sales or credit models, including propensity, segmentation and credit scoring
- You use Python or R, SQL and data analysis libraries such as Pandas, NumPy or Scikit-learn
- You have delivered credit-risk, propensity or other banking analytics models
Who this fits
This senior contract role suits a data scientist who can work independently and with a team, and communicate findings clearly. The role is onsite in South Jakarta and is assigned to a financial services client's project.
From the employer
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.
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:
● 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.
This position will be assigned to an FSI client's project.
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