- 経験
- 3+ yrs
- 給料
- —
- 求人情報
- 1
- 投稿済み
- 1時間前
Where you'll work
仕事内容
About the company
The hiring organization is a major European consumer finance provider that helps customers manage spending through flexible payment and insurance products. It operates within a worldwide banking group focused on supporting a changing global economy.
Role overview
This position focuses on enhancing customer prediction and segmentation models, building AI-driven solutions, and improving the analytical foundation used for product, process, and strategic decisions.
What you'll do
- Refine existing customer forecasting and profiling models using statistical and mathematical techniques.
- Design, implement, and deploy AI models and related advanced use cases.
- Develop analytical decision support that helps improve customer profitability and informs product and process strategy.
- Build and keep improving a statistically robust real-time contact-control framework, including strategy and rule design.
- Maintain and expand the use of the BAP/Tableau platform.
What we're looking for
- A degree in Mathematics, Statistics, Computer Science, Business Informatics, Business Administration, or a natural sciences discipline with a Data Science and Machine Learning focus.
- Several years of practical experience in modelling and data management.
- Strong working knowledge of Python, Git, and SAS.
- Experience using Tableau or another data visualization tool.
- A practical, hands-on way of working.
- Empathy and enthusiasm for modern, agile ways of working.
What’s offered
- Hybrid working arrangement with 2 days in the office and 3 days working from home.
- A modern workplace with ergonomic equipment and features.
- Access to ongoing learning and professional development opportunities.
- International career prospects within a global group.
- Extra benefits including public transport support, car and bike leasing, and corporate discounts.
Additional information
This is a full-time onsite position based in Munich, Bavaria, Germany. The role does not specify salary, number of openings, start date, or application deadline. No internship duration applies.