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RampD Data Scientist - Intern
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RampD Data Scientist....
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RampD Data Scientist - Intern

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1 Vacancy
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Job Location

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Paris - France

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2667354

ABOUT DESCARTES UNDERWRITING

Descartes was born out of the conviction that climate change calls for a revolutionary approach in insurance to better protect corporations governments and vulnerable communities. We offer a new generation of parametric insurance that builds resilience against the full spectrum of climate and emerging risks. Utilizing Machine Learning and realtime monitoring from satellite imagery & IoT our stateoftheart climate tech provides innovative coverage for all trade sectors in all regions of the world. After a successful Series B raise of $120M USD Descartes Underwriting is proud to be recognized among the French Tech Next40 and launched Descartes Insurance a full stack insurer licensed to underwrite risk by the French Regulator (ACPR). With a growing corporate client base (350 and counting) our diverse team is headquartered in Paris and operates out of our 13 global offices in North America Europe Australia Singapore Hong Kong and Japan.


ABOUT YOUR ROLE

Due to rapid growth we are seeking to expand our R&D team and we are looking for a R&D Data Scientist Intern (end of study). At the core of our companys strategy your missions will focus on making direct contributions to the development of new climate models :

  • Improving and/or developing new models to improve our understanding of climate risks;
  • Conducting research on the modelling of climate risks and machine learning methods;
  • Identifying new and innovative ideas and testing stateoftheart methods from scratch based on recent research articles;
  • Collaborating with the underwriting and business teams to ensure our products are efficiently integrated into the underwriting process and meet our clients needs;
  • Working autonomously and pragmatically to make appropriate technical decisions.

ABOUT YOU

EXPERIENCE & QUALIFICATIONS

  • Researchoriented Masters Degree in applied mathematics physics or meteorological studies;
  • Ideally a previous professional experience (internship or/and project) in Data Science.

SKILLS

  • Keen interest in climate related topics;
  • Highly skilled in statistics applied mathematics and machine learning methods;
  • Fluency in English (written and verbal communication) required;
  • Proficient in Python.

MINDSET

  • Interested in weather and natural perils modelling (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 organizations mission;
  • Results oriented high energy with the ability to work in a dynamic and multicultural 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 top data scientists 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.);
  • Benefit from a competitive compensation;
  • Work in a collaborative & professional environment;
  • Be part of an international team passionate about diversity.

HOW TO APPLY

You may check off several but not necessarily all the expected boxes Motivation and feeling are key elements for us! If you want to develop your skills and work in a friendly startup atmosphere dont hesitate and send us your application!

At Descartes Underwriting 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: Call and HR Interview with our Talent Recruiter
  • Step 2: Technical online test
  • Step 3: Technical Interview with a Data Scientist
  • Step 4: Final round interview with a R&D Manager and our Data Scientist team

Employment Type

Full Time

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