RampD Data Scientist - Intern end of studies
RampD Data Scientist - Intern end of studies
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Job Description
- ABOUT DESCARTES UNDERWRITING
Descartes was born out of the conviction that the everincreasing 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 climaterelated risks utilizing machine learning realtime 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 Arated (re)insurers to carry out its activities.
ABOUT YOUR ROLE
Due to rapid growth we are seeking to expand our R&D team and we are looking fora R&D Data Scientist Intern (end of studies). At the core of our companys strategyyour missions will focus on making direct contributions to the development of newclimate models :
- Improving and/or developing new models to improve our understanding ofclimate risks;
- Conducting research on the modelling of climate risks and machine learningmethods;
Identifying new and innovative ideas and testing stateoftheart methodsfrom scratch based on recent research articles;
Collaborating with the underwriting and business teams to ensure ourproducts are efficiently integrated into the underwriting process and meet ourclients needs;
Working autonomously and pragmatically to make appropriate technicaldecisions.
Your missions will evolve in the future as Descartes is growing fast and many excitingprojects are waiting for you. Its a unique opportunity to take a closer look inside afastgrowing scale up with huge ambitions !
ABOUT YOU
EXPERIENCE & QUALIFICATIONS
- Researchoriented masters degree in applied mathematics physics ormeteorological studies;
- Ideally a previous professional experience (internship and/or project) in Data
Science.
SKILLS
- Keen interest in climate related topics;
- Highly skilled in statistics applied mathematics and machine learningmethods;
- Fluency in English (written and verbal communication) is required;
- Proficiency in Python.
MINDSET
- Interested in weather and natural perils modelling (wildfires hail tsunamisearthquakes 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 organizations 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 toclimate 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 apunctualhome 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
- 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)
Employment Type
Full Time
