Intern Data Scientist
Swiss Re
internship
Posted on:
Location Type: Hybrid
Location: Adliswil • Switzerland
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Job Level
Tech Stack
About the role
- Support the end-to-end delivery of AI products, including data engineering, visualization, machine learning, and model interpretation/monitoring
- Work with AI foundation models to develop innovative solutions for complex insurance challenges
- Actively contribute to knowledge sharing sessions, team events, hackathons, and other collaborative efforts
- Learn and apply data science techniques in a (re)insurance context
- Develop reusable toolboxes and solutions that can be leveraged across multiple projects
Requirements
- Recently completed a bachelor's or master's degree in a relevant technical discipline such as data science, mathematics, statistics, computer science, engineering, or physics
- Strong knowledge in applied AI (e.g., statistical/machine learning, working with foundation models such as prompting, context engineering, RAG)
- Knowledge in software/data engineering (e.g., code versioning, distributed computing)
- Experience with Python programming
- Open, curious and team-oriented mindset, eager to learn about new technologies
- Strong collaboration and communication skills, with the ability to present ideas and explain models in non-technical terms
- Fluent in English
- Eligible to work in Switzerland
Benefits
- Hybrid work model with expectation of being in office at least three days per week
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata visualizationmachine learningmodel interpretationmodel monitoringapplied AIstatistical learningPython programmingsoftware engineeringdistributed computing
Soft skills
collaborationcommunicationteam-oriented mindsetcuriosityknowledge sharingpresentation skillsexplanation of models
Certifications
bachelor's degreemaster's degree