Devoteam Sr. Data Scientist \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Sr. Data Scientist Contract Contract type: Permanent contract 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. I'm interested I'm interestedPrivacy NoticeCookies Settings I'm interested Refer a friend share this job Share on LinkedIn Share on Facebook Share on Twitter Share via email Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. Sr. Data Scientist Sequis Tower, 17th Floor. Jl. Jend. Sudirman Kav.71 SCBD, South Jakarta, Jakarta, Indonesia Contract I'm interested I'm interested

The role requires a minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the banking or financial services industry. Proficiency in programming languages such as Python or R is necessary, along with strong knowledge of machine learning algorithms like classification, regression, and clustering. Experience with SQL and database management, as well as data manipulation and analysis libraries such as Pandas, NumPy, and Scikit-learn, is also required. Proven experience in building and deploying models for credit risk or propensity modeling is essential.