Data Scientist: France

Shift Technology
Paris
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.

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

About the Team

As a member of the data science team, and working alongside our technical experts, your role will be key to improve and roll-out our Fraud Detection solution.

This role is part of our Data Science team which is the largest team in our organization consisting of over 200+ Data Scientists throughout the world.
Our Data Scientists work in a full lifecycle role and on a broad range of subjects acquiring extensive technical and professional experience in data science, data engineering, coding, business understanding and client engagement.

What You'll do...
  • Your role will be to actively contribute to the Insurance roadmap and clients, 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 in 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.
  • Advanced command of French, both written and spoken, equivalent to a native speaker.
Recruitment Process

  • Talent Acquisition interview
  • Coding exercise
  • Technical interview(s)
  • Hiring Manager interview
#LI-BA1 #LI-HYBRID

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
  • 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.

At Shift we strive to be a diverse and inclusive workforce. We welcome applications from and hire people who will contribute to the diversity of our company, without regard to race, color, religion, marital status, age, national or ethnic origin, physical or mental disability, medical condition, pregnancy, genetic information, gender identity or expression, sexual orientation, or other non-merit criteria.

Shift Technology is committed to providing reasonable accommodations for qualified individuals with disabilities in our application and employment process. Should you require accommodation, please email [email protected] and we will work with you to meet your accessibility needs.

Please be aware of scammers and only trust correspondence that comes from emails ending in "shift-technology.com". We will never do initial outreach to you via Whatsapp/Text/SMS, never ask for banking information or personal identification numbers (ex. Social Security Number) as part of our recruitment process.

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology.
Publié le 2025-07-02

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