Data Scientist

**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**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 and 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.

**ABOUT YOU**

**QUALIFICATIONS & SKILLS**
- Graduated 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**
- Eager to learn more on the insurance industry;
- Interested in weather and natural perils modeling with a focus on nat cat risks (wildfires, hail, tsunamis, earthquakes...);
- Results oriented with the ability to work in a dynamic and multi-cultural environment;
- Excellent team player with an entrepreneurial mindset;
- Strong desire to learn and commitment to the organization’s mission.

**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;
- Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.) ;
- 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;
- A competitive salary, bonus and benefits;
- 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 Recruiter
- Step 2: Technical online test (via Github)
- Step 3: Remote technical interview
- Step 4: In person team interview to meet our team and discover our offices (held remotely if you are abroad)