Data Scientist (w/m/d) — die Mobiliar
NewCHF 68'500 - 104'000
die Mobiliar · Bern (BE)
- Location
- Bern
- Contract
- full-time
- Posted
- 3 days ago
SalaryCHF 68'500 - 104'000
Role overview
This is what awaits you
In this position, you are part of an interdisciplinary Scrum team and develop AI solutions from the idea to productive operation.
You combine classic methods with modern generative AI approaches and are part of an active data science community. You can do this with us:
- This is what awaits you:
- In this position, you are part of an interdisciplinary Scrum team and develop AI solutions from the idea to productive operation.
- Abgeschlossenes Masterstudium (Uni/ETH, FH, HF) in einem quantitativen Fachgebiet
- Mehrjährige praktische Erfahrung in der Entwicklung und Produktivsetzung von Data-Science-Lösungen
Key requirements
- Abgeschlossenes Masterstudium (Uni/ETH, FH, HF) in einem quantitativen Fachgebiet
- Mehrjährige praktische Erfahrung in der Entwicklung und Produktivsetzung von Data-Science-Lösungen
- Fundierte Kenntnisse in Deep Learning, Transfer Learning und im Einsatz von Large Language Models z.B. RAG
- Qualitätsorientierte Arbeitsweise entlang von DevOps-, MLOps- und LLMOps-Prinzipien
- Sehr gute Programmierkenntnisse in Python sowie sehr sicherer Umgang mit Git
- Vertrautheit mit automatisiertem Testen sowie CI/CD
- Erfahrung mit Cloud-Plattformen und -Frameworks, idealerweise Azure
- Teamorientierte, lösungsorientierte Persönlichkeit mit Neugier für neue Technologien
- Freude daran, Wissen zu teilen und andere für Daten und KI zu begeistern
- Fliessendes Deutsch sowie gute Englischkenntnisse, Französisch von Vorteil
Application process
- At the same time, you will create the basis for new AI applications by providing structured and high-quality data.
- You will use modern methods, especially Large Language Models, and will reliably bring them into production.
- By means of appropriate evaluation and monitoring, you will ensure quality, stability and further development in operation.
- With your know-how, you actively drive the further development of our AI and data science landscape and shape architecture, tools and working methods.
- As a solution-oriented:r Team Player:in you work closely with specialist and IT areas and proactively supports changes. This is what you are bringing with you:
- Master's degree (Uni/ETH, FH, HF) in a quantitative field
- Practical experience in the development and production of data science solutions
- Well-founded knowledge in deep learning, transfer learning and in the use of Large Language Models e.g. RAG
Additional details
- You combine classic methods with modern generative AI approaches and are part of an active data science community. You can do this with us:
- As a solution-oriented:r Team Player:in you work closely with specialist and IT areas and proactively supports changes. This is what you are bringing with you:
- Well-founded knowledge in deep learning, transfer learning and in the use of Large Language Models e.g.
- The team works in Bern and Zurich, a certain willingness to travel is part of this.
- Compatibility: We enable flexible working models and offer 20 weeks of maternity and 6 weeks of paternity leave, above-average family allowances and a sustainably funded pension fund. Continuing education and development:
- We are very active in job-related, external training.
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Notes and original content
- You combine classic methods with modern generative AI approaches and are part of an active data science community.
- You can do this with us:
- As a solution-oriented:r Team Player:in you work closely with specialist and IT areas and proactively supports changes.
- This is what you are bringing with you:
- We offer this:
- Compatibility: We enable flexible working models and offer 20 weeks of maternity and 6 weeks of paternity leave, above-average family allowances and a sustainably funded pension fund.
- Continuing education and development:
- If you visit a website, this information about your browser
- mostly in the form of cookies
- Necessary cookies
