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- Tasks: Join our Data Science team to develop climate models and forecasting tools.
- Company: Descartes Underwriting is a leader in parametric insurance for climate-related risks.
- Benefits: Enjoy competitive salary, bonuses, home office days, and continuous learning opportunities.
- Why this job: Make a real impact on climate resilience while working with top experts in a diverse environment.
- Qualifications: Master’s student in relevant fields with experience in data science or climate modelling preferred.
- Other info: We value diversity and are committed to equal opportunities for all applicants.
The predicted salary is between 43200 - 72000 £ per year.
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 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 YOUR 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 punctual home office days.
At Descartes Underwriting, we cherish the 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
Data Scientist - London employer: Descartes Underwriting
Contact Detail:
Descartes Underwriting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - London
✨Tip Number 1
Familiarise yourself with Descartes Underwriting's mission and values. Understanding their commitment to climate resilience and innovative insurance solutions will help you align your responses during interviews, showcasing your genuine interest in their work.
✨Tip Number 2
Brush up on your Python skills, particularly with libraries like scikit-learn. Being able to demonstrate your proficiency in building algorithms and machine learning models will be crucial during the technical project and interviews.
✨Tip Number 3
Prepare to discuss your previous experiences related to data science or climate modelling. Be ready to share specific examples of projects you've worked on, focusing on your contributions and the impact they had.
✨Tip Number 4
Showcase your teamwork and collaboration skills. Since the role involves working closely with business teams, emphasising your ability to communicate effectively and work under pressure will set you apart from other candidates.
We think you need these skills to ace Data Scientist - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and climate modelling. Use keywords from the job description to demonstrate that you meet the qualifications they are looking for.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for climate risks and your motivation to work at Descartes. Mention specific projects or experiences that align with their mission and values.
Showcase Technical Skills: In your application, emphasise your proficiency in Python and any relevant statistical methods. Consider including examples of algorithms or models you've developed in previous roles or projects.
Prepare for Interviews: Research common data science interview questions and prepare to discuss your technical skills and past experiences. Be ready to explain your thought process when solving problems related to climate modelling.
How to prepare for a job interview at Descartes Underwriting
✨Showcase Your Technical Skills
As a Data Scientist, you'll need to demonstrate your proficiency in statistics, applied mathematics, and machine learning. Be prepared to discuss specific algorithms you've developed or worked with, and how they can be applied to climate modelling.
✨Understand the Company’s Mission
Descartes Underwriting is focused on helping clients become more resilient to climate risks. Familiarise yourself with their approach to parametric insurance and be ready to discuss how your skills can contribute to this mission.
✨Prepare for Technical Questions
Expect technical questions during the interview process, especially in the online technical project and remote technical interview stages. Brush up on Python, scikit-learn, and any relevant statistical methods that could be applicable to the role.
✨Demonstrate Team Collaboration
Highlight your ability to work in a team, especially under pressure. Share examples of past experiences where you collaborated with others to solve complex problems, as this will resonate well with Descartes' emphasis on teamwork.
