Data Scientist: France
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
- 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.
- Talent Acquisition interview
- Coding exercise
- Technical interview(s)
- Hiring Manager interview
- 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)
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