Data Scientist (all gender)

ALTEN GmbH Show all offers

Bremen

Expires Sep 27, 2026

1 month ago

In short

Data Scientist role in Bremen/Friedrichshafen. Responsibilities include data analysis, algorithm development, and presenting findings. Requires a degree in a related field, strong Python/R skills, and English fluency. Offers talent management, flexible hours, and wellness benefits.

Keywords

Data Science Machine Learning Python R Databases Algorithms Analytics

AI-written summary based on the listing content.

#weareALTEN – the home of forward thinkers

We are the designers of today for the world of tomorrow.

As one of the world's leading engineering service providers, we at ALTEN are committed to positively shaping the future of our partners, the careers of our employees and the challenges facing our society and environment.

More than 50,000 employees in 30 countries are already working on innovative solutions in various engineering and IT sectors such as aerospace, renewable energy, medical technology, railway technology and automotive.

Data Scientist (all gender)

Location: Bremen, Friedrichshafen

Make it happen

YOU…

analyze complex databases, data streams, and large datasets to derive valuable insights and actionable recommendations
develop, implement, and optimize algorithms and analytical models to improve existing business processes
identify patterns, trends, and optimization opportunities within structured and unstructured data
work with modern data science and machine learning tools to create innovative, data-driven solutions
present analytical findings in a clear and understandable manner and support stakeholders in making data-driven decisions

Be our forward thinker

YOU…

hold a degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.
possess strong expertise in analyzing large datasets and working with both relational and non-relational databases
are proficient in programming languages such as Python or R and have experience with common data science frameworks
have experience in developing and implementing algorithms, ideally with exposure to machine learning techniques
demonstrate strong analytical thinking, a structured approach to problem-solving, and a results-oriented mindset
are fluent in English

A home where people learn and thrive

Talent Management - we develop your career
Work life balance - flexible working hours and mobile working possible
Fit and relaxed – with EGYM Wellpass
Enjoy biking – always on tour with bike leasing
Green Mobility - with us you can travel at a reduced rate

...in addition we offer a permanent employment contract, corporate benefits and team events.

Weitere Informationen

We value diversity and therefore welcome all applications - regardless of gender, nationality, ethnic and social origin, religion/belief, disability, age and sexual orientation and identity. Severely disabled persons will be given preferential consideration if they are equally qualified.

Apply now using our online application form.