About The Role

Sompo, a leading global insurance company, is seeking a motivated Summer Intern to join our team in Zurich for an exciting 2–3 months internship beginning in July.

This role offers a valuable opportunity to support a data quality initiative focused on the cleanup of legacy customer information , using Dun & Bradstreet (D&B) data and AI-driven tools to help correct customer names and addresses and enrich records with DUNS numbers .

The internship is designed for students who are interested in gaining hands-on experience with data quality, enterprise systems, and practical applications of AI in a professional team environment.

Key Responsibilities

Support a data quality project focused on the cleanup and enrichment of legacy customer data
Use D&B data and AI-based tools to help validate and improve customer records
Help identify, validate, and add DUNS numbers to customer records where appropriate
Review data inconsistencies and support efforts to improve overall data accuracy and completeness
Gain exposure to core enterprise applications such as Guidewire, Salesforce, and SAP
Collaborate with team members in the Zurich office on project tasks, analysis, and documentation

Qualifications

Currently studying Data Analytics, Computer Science, Mathematics , or a related field
Strong interest in data quality, analytics, and technology
Good technical aptitude and interest in working with data tools and systems
Strong attention to detail and comfort working with structured data
Analytical mindset with problem-solving ability
Strong communication and teamwork skills
Eagerness to learn in a collaborative office environment

What We Offer

An exciting summer internship with a leading global insurance company
Hands-on experience working on a meaningful data quality and data enrichment initiative
Exposure to enterprise systems such as Guidewire, Salesforce, and SAP
Experience using D&B data and AI-supported processes in a business context
A collaborative team environment in the Sompo Zurich Office
A valuable learning opportunity for students looking to build experience in data and technology

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