Graduate Data Scientist, Shift Technology

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

• As a Data Scientist intern 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
• 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
• We are looking for candidates with diverse skills to help us build excellent technology solutions for our clients

• Recruitment screening
• Technical exercise
• Technical interview with Senior Data Scientist
• Final interview with hiring manager

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Generous PTO and paid holidays
• Parental leave opportunities
• Extensive mental health benefits provided via our global Employee Assistance Program
• Paid volunteering time - 16 hours annually

Total funding: $320m

The global insurtech market is projected to grow substantially given the increased demand for insurance service digitisation, projected market expansion, and developments in technology that have made it easier to buy and process claims. Insurtech helps create new avenues that large insurance companies have less incentive to pursue, such as offering social insurance and customised policies for clients.