Graduate Data Scientist (January/February 2026)

Requirements

• This opportunity is perfect for you if you’re seeking a permanent role; Shift is the ideal place to kickstart your career journey!

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• We are looking for people to start in January/February 2026

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• You are a recent graduate, looking for your first full time Data Science opportunity

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• We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients and be proficient in the following skills:

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• Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users- writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking

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• AI-savvy, either by having a degree in machine learning and/or statistics. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working

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• Client facing. You will need to be comfortable and open to communicating to our clients on a regular basis

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• Business smart. We don’t expect candidates to know the insurance sector, but we want applicants who are interested in learning and mastering the business aspects of our products

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• Business fluent in English. We are an international company with offices in many countries and 40+ nationalities, the Shift working language is English

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• Additional languages a Plus

What the job involves

• As a Data Scientist you will work on a broad range of subjects actively contributing to the design and evolution of our suite of products focused on fraud detection, anti-money laundering, and claims automation

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• We are dedicated to providing innovative solutions, and you’ll be part of a team with extensive technical and professional expertise in data science, data engineering, coding, business understanding, and client interactions

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• Additionally, we tackle a diverse array of data types, including structured data, unstructured text, documents, and images

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• You will actively participate in the development of our suite of products: fraud detection, anti-money laundering, and claim automation; and working on various data types such as structured data, free text, documents, and images

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• Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)

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• Developing, testing, tuning models, and putting them into production for tasks such as fraud detection and automation detection in complex environments

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• Automate key business tasks by implementing them in our production process framework in C#

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• Conduct meetings with clients and interact with external stakeholders, whether it is for direct user feedback, presenting business cases, or defining the roadmap of evolutions

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