We're working with a leading European provider of consumer finance solutions, enabling financial flexibility and responsible lending through innovative payment and insurance offerings. They are part of a global banking group committed to a world in transition.
The Role
- Optimise existing customer prognosis and profiling models using mathematical and statistical methods
- Develop, implement, and apply AI models and advance use cases
- Create decision-making bases to ensure and increase customer profitability and support strategic decisions for products and processes
- Build and continuously optimise a statistically sound real-time contact control (strategy and rules)
- Operate and further develop the use of BAP/Tableau platform
What You'll Need
- Degree in Mathematics, Statistics, Computer Science, Business Informatics, Business Administration, or Natural Sciences with a focus on Data Science & Machine Learning
- Several years of experience in modeling and data management
- Strong Python, Git, and SAS skills
- Experience with Tableau or similar data visualisation tools
- Hands-on mentality and a pragmatic approach
- Empathy and passion for modern and agile working methods
What's On Offer
- Hybrid working model (2 days in the office, 3 days from home)
- Modern workplace with ergonomic features
- Diverse continuous learning and development opportunities
- International career perspectives within a global group
- Additional benefits such as public transport subsidies, car/bike leasing, and corporate benefits
Apply via Haystack today!
Haystack