The ad says“Experience with cloud-based infrastructure solutions, such as AWS”
The ad says“Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc”
The ad says“Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc”
The ad says“Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc”
The ad says“Excellent English speaking and writing skills”
The ad says“Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)”
The ad says“Familiarity with web frameworks like Flask or FastAPI”
The ad says“Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)”
The ad says“Familiarity with web frameworks like Flask or FastAPI”
The ad says“Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)”
The ad says“Track-record of successful projects using machine learning to solve business problems”
The ad says“Knowledge of relational databases such as MySQL or PostgreSQL”
The ad says“Experience with Python and with data processing packages (e.g. Pandas, Numpy)”
The ad says“Experience with Python and with data processing packages (e.g. Pandas, Numpy)”
The ad says“Knowledge of relational databases such as MySQL or PostgreSQL”
The ad says“Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)”
The ad says“Experience with Python and with data processing packages (e.g. Pandas, Numpy)”
The ad says“Experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)”
The ad says“Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc”
The ad says“Experience with Reinforcement Learning”
The ad says“Experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)”
The ad says“Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc”
The ad says“Experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)”
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
Preferred experience
Track-record of successful projects using machine learning to solve business problems
Knowledge of relational databases such as MySQL or PostgreSQL
Excellent English speaking and writing skills
Experience with agile development practices such as TDD/BDD, continuous integration, refactoring, code reviews, etc
2+ years of experience as a Data Scientist, ideally in a startup or fintech company
Experience with Python and with data processing packages (e.g. Pandas, Numpy)
Familiarity with web frameworks like Flask or FastAPI
A degree in Data Science, Computer Science, Mathematics or similar
Hands-on experience with deployment of (ideally open source) LLMs (hosting, fine-tuning, prompt engineering, evaluation)
Experience with machine learning frameworks (e.g. pytorch, scikit-learn, transformers)
Experience with cloud-based infrastructure solutions, such as AWS
