Senior Data Scientist

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Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

The role

As a Senior Data Scientist at Zühlke, you turn ideas into real-world impact—uncovering the true value of data and leading the journey from concept to practical application through advanced AI and machine learning solutions.

How You'll Make An Impact

• You will take on the technical leadership of client projects (defining the methodological approach, developing use cases with clients, advising clients on technical matters, and presenting and explaining results).
• You will lead the development of machine learning pipelines or develop them independently: data preparation, modeling, method selection, and validation.
• You will assess the technical and economic feasibility of machine learning solutions and help operationalize successful prototype concepts in collaboration with data platform architects.
• As an expert, you will also support the acquisition of new client projects and be part of an interdisciplinary bid team.
  
  

What's Important To Us

• You have at least four years of professional or research experience in the field of machine learning after completing your studies. Experience with implementing projects in industry or services is a plus.
• You bring strong and versatile knowledge in machine learning and statistics. Solid experience in the area of generative AI is essential for this position.
• You have excellent Python skills, experience in software development, database systems, and cloud technologies, as well as solid knowledge of MLOps.
• Thanks to your confident communication with clients, strong self-motivation, and passion for data science topics, you take ownership of projects and help advance our ML/DS capabilities.
• You have a university degree in computer science, mathematics, or a comparable field. A PhD in a machine-learning-related field is a plus, but not mandatory
• Excellent German and English skills are required..
  
  

What We Offer

Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home

Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company’s success in the previous year

Global and Diverse Zühlke community: witness how colleagues from all our 16 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.

Committed to development: we are committed to the growth of our people and are investing in your development. We’re empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

To dive deeper into local benefits of working in Zühlke follow the link.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, colour, sexual orientation, gender identity, age, marital status, disability or veteran status.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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