Data Scientist - Banking Operations 80% - 100% (f/m/d)
Publication date:
22 April 2025Workload:
80 – 100%- Place of work:Zürich
Job summary
Join Julius Baer to shape the future of wealth management. Enjoy a dynamic work environment and opportunities for growth.
Tasks
- Implement Intelligent Automation and Data Analytics for Banking Operations.
- Enhance efficiency and reduce risks through data science solutions.
- Manage diverse projects to deliver strategic operational solutions.
Skills
- Degree in Computer Science, Data Science, or Data Engineering required.
- Experience with machine learning and data visualization tools.
- Strong project management and data engineering capabilities.
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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.
IHRE AUFGABEN
Responsibilities
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Generate efficiencies and risk reduction in Operational Processes, using data science and implementing technology solutions
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Intelligent automation: build and implement automation solutions using technical skills and process engineering expertise
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Project Management: Manage projects of varying duration to implement strategic solutions for Operations in collaboration with Technology
YOUR PROFILE
Competencies
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A background in Data Science and Engineering
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Machine learning experience: LLMs, Data Visualization, NLP, OCR
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Programming experience: Low code applications (Alteryx, Dataiku or similar), Python, SQL
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Project Management skills – Planning, requirements gathering, documentation, implementation, stakeholder management
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Data Engineering: Strong knowledge and ability in Data Modelling, Data Cleansing, creating and maintaining Data Products
Education
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University Education in Computer Science, Data Science, Data Engineering
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Process design, process automation, data analytics, data science
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