At Julius Baer, we celebrate and value the individual qualities you bring, enabling you to be impactful, to be entrepreneurial, to be empowered, and to create value beyond wealth. Let’s shape the future of wealth management together.
Builds and implements Intelligent Automation and Data Analytics solutions for Banking Operations. The Data Scientist will work on projects that reduce regulatory/operating risks, increase efficiency and scalability.YOUR CHALLENGE
Responsibilities
Generate efficiencies and risk reduction in Operational Processes, by designing & building ETL, data science or visualization solutions
Intelligent automation: build and implement automation solutions using technical skills and process engineering expertise
Project Management: Manage projects of varying duration to implement strategic solutions for Operations in collaboration with Technology
YOUR PROFILE
Competencies
A background in Data Science and Engineering
Programming: fluency in Python (or similar), SQL, low code applications (Alteryx, Dataiku or similar)
Data Engineering: Strong knowledge and ability in Data Modelling, Data Cleansing, creating and maintaining Data Products
Data Visualization: PowerBI, Tableau or similar
Machine learning experience: LLMs, NLP, OCR
Project Management skills – Planning, requirements gathering, documentation, implementation, stakeholder management
Education
University Education in Computer Science, Data Science, Data Engineering
Process design, process automation, data analytics, data science
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