ABOUT DESCARTES UNDERWRITING
Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore, Hong Kong and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities.
ABOUT YOUR ROLE
Descartes Underwriting is seeking a Data Scientist - Intern (end of studies) to join
our R&D Team. At the core of our company’s strategy, your missions will focus on
making direct contributions to the development of new models for New business
lines (Cyber, etc).
Your responsibilities would include :
Conducting research on the modeling of emerging risks (cyber...) and machine learning methods;Improving or developing new models to improve our understanding of emerging risks (Cyber);Participating in the development of Descartes’ technological platform;Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors;Identifying new and innovative ideas and testing state-of-the-art methods based on recent research articles;Collaborating with the business team to fully understand our B2B client needs, further strengthen our technical excellence and to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs;Participating in our R&D sessions;Working autonomously and pragmatically to make appropriate technical decisions.Your missions will evolve in the future as Descartes is growing fast and many
exciting projects are waiting for you. It's a unique opportunity to take a closer look
inside a fast-growing scale up with huge ambitions !
ABOUT YOU
EXPERIENCE & QUALIFICATIONS
Final year students from academic institutions/universities with a specialization in computer science, applied mathematics or data science for business;Ideally a previous experience (long-term internship) in data science or insurance. SKILLS
Keen interest in emerging risks or related topics;Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;Proficient in Python (e.g. pandas, 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.MINDSET
Strong team spirit and ability to work under pressure;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;Motivated to help improving businesses’ and communities’ resilience to climate change;Eagerness to work in an international environment.WHY JOIN DESCARTES UNDERWRITING?
Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;Work in a collaborative & professional environment ;Be part of an international team, passionate about diversity ;Join a company with a true purpose – help us help our clients be more resilient towards climate risks;Attractive remuneration according to the profile, meal voucher, 60% transport reimbursement;You can benefit from a punctual home office days.
At Descartes Underwriting, we cherish value of diversity whatever it may be. We are committed to fighting against all forms of discrimination and for equal opportunities. We foster an inclusive work environment that respects all differences.
With equal skills, all our positions are open to people with disabilities.
RECRUITMENT PROCESS
Step 1: HR Interview with our Talent RecruiterStep 2: Technical online test (via Github)Step 3: Remote technical interview with a Data ScientistStep 4: In-person team interview to meet our team discover our offices (held remotely if you are abroad)