Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Junior Data Scientist
Location: Frankfurt am Main, hybrid
Contract: Permanent
1-2 years of experience
Are you interested in the next big challenge?
Are you fascinated by agile working, digital business models and a dynamic team?
Here's the opportunity to join a modern FinTech environment with agile processes, short decision-making paths and a steep development curve in a great team.
This is the opportunity to work with modern technologies and to start your career as a Junior Data Scientist.
Requirements:
- You have successfully completed a degree in data science, computer science, mathematics, physics, or statistics—ideally with a specialisation or interest in AI.
- You have in-depth knowledge of Python and experience with common tools for data analysis and machine learning.
- You have practical experience with language processing and the use of large language models.
- You are characterised by a structured, analytical mindset and high standards of quality and accuracy.
- You show initiative, enjoy working in a team, and impress with your strong communication skills.
- Fluent German and good English skills
Responsibilities:
- You will develop data-driven solutions for optimizing products and processes in the banking environment
- You will use natural language processing technologies (large language models) to intelligently evaluate texts and improve the customer experience
- You will develop, train, and evaluate machine learning models based on structured and unstructured data
- You will be responsible for implementing processes for model deployment, monitoring, and maintenance (MLOps), including automated integration and delivery.
- You will establish scalable analysis processes and work closely with specialist departments, product managers, and IT.
Benefits:
- Flexible working time model with four days per week in the office and one day flexibly from the office or from home.
- Personal growth: they support your development with further training and regular feedback meetings to recognize and develop your strengths and potential.
- Open-ended contracts with an attractive and performance-oriented salary package including annual bonuses. As well as fitness cooperations, subsidized company bicycle leasing, etc.
- Independent, agile work in small teams with a strong team spirit. Short decision-making processes.
- An ergonomic workplace with modern equipment, including two additional screens and height-adjustable desks, from your first day at work.
And much more.
Key Skills
Ranked by relevanceReady to apply?
Join Zero to One Search | Recruitment Agency and take your career to the next level!
Application takes less than 5 minutes

