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- Tasks: Develop climate models and forecasting tools while improving algorithms for B2B clients.
- Company: Descartes Underwriting is a leader in parametric insurance, utilising machine learning and real-time monitoring.
- Benefits: Enjoy competitive salary, bonuses, remote work options, and continuous learning opportunities.
- Why this job: Join a diverse team dedicated to making a positive impact on climate resilience.
- Qualifications: Master's student in relevant fields with experience in data science or climate modelling preferred.
- Other info: Open to candidates with disabilities; commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ 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 (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.
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:
- 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;
- 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;
- 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...);
- 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;
- 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.);
- 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. With equal skills, all our positions are open to people with disabilities.
Step 1: HR Interview with our Talent Recruiter
Step 2: Online technical project
Step 3: Remote Technical interview
Contact Detail:
Descartes Underwriting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Machine Learning)
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning and climate modelling. Being able to discuss recent trends or breakthroughs during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the insurance and data science sectors. Attend relevant conferences or webinars where you can meet people from Descartes or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare for the technical project by brushing up on your Python skills, especially with libraries like scikit-learn. Practising coding challenges related to machine learning can help you feel more confident when tackling the project.
✨Tip Number 4
Showcase your results-oriented mindset by preparing examples of past projects where you made a significant impact. Be ready to discuss how your contributions improved outcomes, particularly in dynamic environments.
We think you need these skills to ace Data Scientist (Machine Learning)
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 specific requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for climate change and how your skills can contribute to Descartes' mission. Mention any relevant projects or experiences that align with their goals.
Showcase Technical Skills: In your application, emphasise your proficiency in Python and any machine learning frameworks you've used. Provide examples of algorithms or models you've developed, especially those related to climate data.
Prepare for Interviews: Anticipate questions related to your technical skills and past experiences. Be ready to discuss your approach to problem-solving in data science and how you would apply it to the challenges faced by Descartes.
How to prepare for a job interview at Descartes Underwriting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning and data science. Highlight specific projects where you've developed algorithms or models, especially those related to climate or weather data.
✨Understand the Company’s Mission
Familiarise yourself with Descartes Underwriting's approach to parametric insurance and their focus on climate resilience. Demonstrating knowledge about their work will show your genuine interest in the role.
✨Prepare for Technical Questions
Expect to face technical questions during the interviews, especially in the online technical project and remote technical interview. Brush up on Python, statistics, and machine learning methods relevant to the job.
✨Emphasise Your Collaborative Spirit
Since Descartes values diversity and teamwork, be ready to share examples of how you've successfully worked in multicultural teams. Highlight your adaptability and communication skills in dynamic environments.
