Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Descartes Underwriting
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 17 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
Due to rapid growth, we are seeking to expand our Data Science team across our Underwriting functions and we are looking for a Data Scientist to join our team in London.
As a Data scientist, your missions will focus on making direct contributions to the development of new climate models or forecasting tools.
Your key missions will include:
- 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.
ABOUT YOU
EXPERIENCE & QUALIFICATIONS
- Master’s student in computer science, applied mathematics, statistics or meteorological studies;
- Ideally a previous experience (long-term internship) in data science or climate modeling.
SKILLS
- 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) required;
- Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...) is valued.
MINDSET
- Interested in weather and natural perils modeling (wildfires, hail, tsunamis, earthquakes etc);
- 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;
- 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: Online technical project
- Step 3: Remote Technical interview
- Step 4: In person final round interview with the team
Seniority level
- Seniority levelEntry level
Employment type
Job function
- Job functionEngineering and Science
- IndustriesInsurance and Climate Data and Analytics
Referrals increase your chances of interviewing at Descartes Underwriting by 2x
Sign in to set job alerts for “Data Scientist” roles.
London, England, United Kingdom 3 days ago
Associate Data Scientist, Growth Analytics
London, England, United Kingdom 6 days ago
London, England, United Kingdom 4 hours ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 5 days ago
Data Scientist – Data Science Analytics and Enablement (DSAE)
London, England, United Kingdom 1 day ago
London Area, United Kingdom £65,000.00-£75,000.00 5 hours ago
Greater London, England, United Kingdom 10 hours ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 day ago
Data Scientist, Marketing Insights and Analytics
London, England, United Kingdom 6 days ago
Greater London, England, United Kingdom 2 months ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 1 week ago
Data Scientist – Experimentation & Measurement
London, England, United Kingdom 9 hours ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 20 hours ago
Data Scientist, Internship, United Kingdom - BCG X
London, England, United Kingdom 1 week ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr
:quality(80))
:quality(80))
:quality(80))