#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.

This position can be located in Bremen or Friedrichshafen.

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.

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

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.