Senior Data Scientist

You take on responsibility and technical leadership in customer projects in a wide variety of industries (defining methodological approach, developing use cases with customers, advising customers on technical topics, as well as presenting and explaining results). Thanks to your thought leadership and passion for data science topics, you inspire our customers for the field of machine learning. You lead the development of machine learning solutions: data preparation, modelling, method selection, evaluation, implementation. You evaluate the technical and economic feasibility of machine learning solutions. You operationalize successful prototypes in collaboration with data platform architects and data engineers. You bring your machine learning expertise to the Zühlke team and support our juniors in their further development. You contribute to the further development of our AI & Data Practice and actively support the acquisition of customer projects. You represent Zühlke AI & Data through technical presentations at national conferences.

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.

• You have a Master’s degree (ETH, Uni) in computer science or a comparable education (e.g. mathematics). A PhD in a machine learning related field is a plus

• You have at least four years of professional/research experience in the field of machine learning after graduation

• You have experience implementing machine learning solutions in industry. It is an advantage if you have experience in the professional services business

• You bring solid and broad knowledge in machine learning, in-depth knowledge in an application domain (e.g. large language models, computer vision) and good knowledge in statistics

• You are proficient in the Python machine learning stack (NumPy, pandas, scikit-learn, PyTorch), have experience in software development and are familiar with the concepts of database systems (relational/NoSQL)

• You are familiar with one of the major cloud providers (Azure/AWS/GCP) and understand the concepts of training and operationalizing machine learning solutions (e.g. MLOps, containerization, experiment tracking, data versioning)

• Thanks to your open and communicative personality, you feel comfortable in interdisciplinary teams and can work in a customer-oriented way, from the idea to the successful implementation of a solution

• German language skills are required. Very good English skills complete your profile