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Graduate Data Scientist

Shift Technology
CompanyShift Technology
CategoryData & Analytics
LocationUnited Kingdom - London
RemoteOn-site (inferred)
EmploymentNot stated
LevelEntry
SalaryNot stated by the employer
Posted11 Mar 2024
Last verified7 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
Shift delivers AI agents that transform insurers' most critical work. By combining deep industry expertise and unmatched data resources, Shift provides proven results that have earned the trust of hundreds of the world's leading insurers. Our insurance-grade AI is accurate, explainable, and secure—empowering human experts to move with unmatched speed, total confidence, and a renewed focus on the people they serve.        Your browser does not support the video tag. Our culture is built on innovation, trust, and a drive to transform the insurance industry through our SaaS platform. We come from more than 50 different countries and cultures and together we are creating the future of insurance. Learn more at www.shift-technology.com   You are a recent graduate, looking for your first full time Data Science opportunity. 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.  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. Additionally, we tackle a diverse array of data types, including structured data, unstructured text, documents, and images. This opportunity is perfect for you if you're seeking a permanent role, and can come to the London office 2-3 times per week. Shift is the ideal place to kickstart your career journey!    What you'll do... 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. Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores ( SQL, ElasticSearch ) Developing, testing, tuning models, and putting them into production for tasks such as fraud detection and automation detection in complex environments. Automate key business tasks by implementing them in our production process framework in C# 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. What you bring... 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: 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. 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. Client facing . You will need to be comfortable and open to communicating with our clients on a regular basis   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 Business fluent in English. We are an international company with offices in many countries and 40+ nationalities, the Shift working language is English. Additional languages a Plus Recruitment Process Recruitment screening Technical exercise Technical interview with Senior Data Scientist Final interview with Hiring Manager    To support our permanent, full time employees at every stage of their