Sr. Data Scientist
Devoteam · South Jakarta, Jakarta, Indonesia
What the posting says
Each fact carries its state:Statedfound in the postingConflictstwo statements disagree, both quotedNot mentionedthe posting does not say
- Employment typeStated
- Contractor
Not mentioned in this posting
“Not mentioned” means the posting does not say. It is not a no. You could ask the recruiter.
- PayNot mentioned
- The posting does not say
- Work arrangementNot mentioned
- The posting does not say
- ShiftNot mentioned
- The posting does not say
- ExperienceNot mentioned
- The posting does not say
- EducationNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- No requirement has been itemised for this posting yet. The employer’s words are in the full posting below.
Read the full posting as the employer wrote it
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.
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.
The posting text is reproduced as the employer wrote it; the index adds nothing to it.