At a Glance
- 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.
- Other info: Diversity and inclusion are core values; all positions are open to people with disabilities.
- Why this job: Make a real impact on climate resilience while working with top industry experts.
- Qualifications: Master's student in relevant fields with data science or climate modelling experience preferred.
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. 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 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
Descartes Underwriting is an exceptional employer, offering a dynamic and collaborative work environment in the heart of London. With a strong focus on employee growth, you will have access to continuous learning opportunities while contributing to innovative climate models that make a real impact in the insurance sector. Join us to be part of a forward-thinking team that values your expertise and fosters a culture of creativity and technological advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - London
✨Tip Number 1
Familiarise yourself with the latest advancements in climate modelling and machine learning. Being able to discuss recent developments or tools during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the data science and climate sectors. Attend relevant meetups or webinars to connect with industry experts, which could lead to valuable insights or even referrals for the position.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Think of specific projects where you developed algorithms or models, and be ready to explain your thought process and the impact of your work.
✨Tip Number 4
Research Descartes Underwriting's current projects and challenges. Understanding their business model and how your skills can contribute to their goals will help you stand out as a candidate who is genuinely interested in the role.
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:In your cover letter, express your passion for climate risks and how your skills align with Descartes' mission. Mention specific projects or experiences that showcase your ability to develop algorithms and work collaboratively.
Showcase Technical Skills:Be explicit about your proficiency in Python and any relevant libraries like scikit-learn. If you have experience with statistical methods or climate modelling, include examples of how you've applied these skills in previous roles or projects.
Prepare for Interviews:Research common technical questions related to data science and machine learning. Be ready to discuss your past projects and how they relate to the role at Descartes. Also, prepare to explain your interest in weather and natural peril modelling.
How to prepare for a job interview at Descartes Underwriting
✨Showcase Your Technical Skills
Be prepared to discuss your experience with statistics, applied mathematics, and machine learning methods. Highlight specific projects where you've built high-performance algorithms, especially using Python and libraries like scikit-learn.
✨Demonstrate Your Passion for Climate Modelling
Express your interest in weather and natural perils modelling during the interview. Share any relevant experiences or projects that showcase your enthusiasm and understanding of the challenges in this field.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with business teams, think of examples where you've successfully collaborated on projects. Be ready to discuss how you can bridge technical solutions with client needs.
✨Emphasise Your Learning Mindset
Descarte values continuous learning and development. Share instances where you've taken the initiative to learn new skills or technologies, and express your eagerness to grow within the company.
