What does a Data Scientist do?
Data Scientists are among the most sought-after experts in artificial intelligence (AI) and data analysis. They develop intelligent systems that analyze large volumes of data, identify patterns and turn them into concrete solutions.
Typical areas of application include:
- Process automation
- Image and object recognition
- Predictive analytics (forecasting models)
- Quality control in industry
In short: Data Scientists turn data into real added value for companies.
The role of a Data Scientist is varied and goes far beyond programming. Key tasks include:
- Developing and training machine learning and AI models
- Analyzing and preparing data
- Creating prototypes and software solutions
Collaborating with interdisciplinary teams
No two days are the same – several iterations are often needed from the initial idea to a working solution. This challenge is exactly what makes the job so exciting.
What skills does a Data Scientist need?
If you want to become a Data Scientist, these are the key skills you should bring:
- Curiosity and a willingness to learn
- Analytical thinking and problem-solving skills
- Teamwork
- Basic technical understanding
Good to know: Perfect math skills or expert-level programming are not required from the start. Much of this develops on the job through practical experience.
Starting out & a career in Data Science
A common route into the profession is through degree programs such as:
- Computer Science
- Data Science
- Mathematics or Statistics
But education is not the only thing that matters: A large part of the know-how is gained through practical experience – for example, working with tools, collaborating in a team or solving real-world problems.
Data Scientist at KEBA: AI in practice
What you can expect at KEBA
As a Data Scientist at KEBA, you develop innovative AI solutions, for example:
- Security solutions for banks (e.g. automatic incident detection)
- AI-powered systems for industry
- Intelligent image recognition for quality control
You work on real products and systems used around the world – from the initial idea through to implementation.
What your working day at KEBA looks like
A typical working day can include:
- Training and optimizing AI models
- Analyzing image and sensor data
- Developing prototypes
- Collaborating with software developers and subject-matter experts
Patience is key: Not every model works right away – but that is exactly what makes this profession so appealing.
Working with state-of-the-art AI
At KEBA, you use the latest technologies and tools to support your work:
- AI-assisted programming
- Faster prototype development
- Efficient analysis and documentation
This means ideas become reality faster – often in hours instead of months.
Start your career as a Data Scientist at KEBA
Are you interested in AI, data analysis and innovative technologies?
Then KEBA offers you the ideal environment to:
- Work on real-world applications
- Develop your professional expertise
- Be part of a strong team
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