Data Scientist

Who you are

• Master’s student in data science, computer science, applied mathematics, statistics or meteorological studies or related
• Ideally a previous experience (long-term internship) in data science or climate modeling is valued
• Proficient in statistics, applied mathematics and machine learning methods
• Capable of building high-performance algorithms
• Proficiency in Python (e.g. scikit-learn)
• Fluency in English (written and verbal communication) is required
• Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued
• Interested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc)
• Excellent team player with an entrepreneurial mindset and value of diversity
• Highly motivated, able to meet deadlines set
• Strong desire to learn and commitment to the organization’s mission
• Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment
• Eager to learn more about the insurance industry

What the job involves

• Due to rapid growth, we are seeking to expand our Data Science team across our Underwriting functions, and we are looking for Data Scientists to join our team in Paris.
• As a Data scientist, your missions will focus on making direct contributions to the development of new climate models or forecasting tools
• The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe
• These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber...), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners
• Improving or developing new algorithms, new risk models and products for our B2B client
• Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors
• Participating in the development of Descartes’ technological platform
• Collaborating with the business team to understand client needs and issues to further strengthen our technical excellence
• Taking on management responsibilities as both you and the company develop
• Working autonomously and pragmatically to make appropriate technical decisions

The application process

• Step 1: HR Interview with our Talent Recruiter
• Step 2: Technical online test on Github
• Step 3: Remote technical interview with a Data Scientist
• Step 4: In-person team interview to meet our Data Scientist team and discover our offices (held remotely if you are abroad)