Data Scientist

• Are you a passionate and experienced Data Scientist, excited to work on improving and maintaining our data architecture?
• Join us to become a part of our strong international team that is transforming the traditional debt collection industry with innovation and a drive for excellence
• Work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intelligence
• Work on advanced and demanding AI fields such as Reinforcement and Q learning
• Identify, understand, structure and solve complex problems
• Work on projects that deliver measurable value to our business
• Experiment with new technologies and acquire new skills to find clever solutions to the unique challenges we face
• Communicate between all stakeholders (data scientists, lead developers, product management, business owners) and present technical product concepts

Benefits

• Company pension and other benefits to add up to an excellent all-round package
• Flexible working hours and 28 days leave a year for a healthy work-life balance
• Good pay for strong performance
• An international team of professional colleagues and strong experts making up an inspirational network
• Team events for a successful team
• Individual development opportunities and a transparent, nurturing feedback culture for your own personal career path
• Challenging, varied tasks along a steep learning curve
• Modern office with fresh fruit, muesli and drinks to create a pleasant working environment- Knowledge of relational databases such as MySQL or PostgreSQL
• Excellent English speaking and writing skills
• Experience with Python and with data processing packages (e.g. Pandas, Numpy)
• Familiarity with web frameworks like Flask or FastAPI
• Track-record of successful projects using machine learning to solve business problems
• 2+ years of experience as a Data Scientist, ideally in a startup or fintech company
• Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc
• A degree in Data Science, Computer Science, Mathematics or similar
• Experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
• Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)
• Experience with cloud-based infrastructure solutions, such as AWS
• Experience with Reinforcement Learning