Graduate Data Scientist

Shift is the leading AI platform for insurance. Shift combines generative, agentic, and predictive AI to transform underwriting, claims, and fraud and risk - driving operational efficiency, exceptional customer experiences and measurable business impact. Trusted by the world's leading insurers, Shift delivers AI when and where it matters most, at scale and with proven results.

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.

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; Shift is the ideal place to kickstart your career journey! 

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

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 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

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 careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

Flexible remote and hybrid working options

Competitive Salary and a variable component tied to personal and company performance
Company equity
Multiple Learning and Development opportunities, including Focus Fridays, a half-day each month to focus on learning and personal growth
Generous PTO and paid holidays
Mental health benefits 
2 MAD Days per year (Make A Difference Days for paid volunteering)

Additional benefits may be offered by country - ask your recruiter for more information. Intern and Apprentice position are eligible for some of these benefits - ask your recruiter for more details.