Sr. Data Scientist at Devoteam

South Jakarta, Java, Indonesia -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Machine learning, Propensity modeling, Credit risk modeling, Data analysis, Pandas, NumPy, Scikit-learn, Statistical modeling, Customer segmentation, Fraud detection, Performance optimization, Database management, Data visualization

Industry

Business Consulting and Services

Description

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. Contract type: Permanent contract

Responsibilities

Design, build, and deploy advanced statistical and machine learning models to address banking business challenges. Collaborate with stakeholders and data engineers to deliver data-driven solutions and present findings to diverse audiences.