At a Glance
- Tasks: Use machine learning to tackle climate risks and develop innovative insurance solutions.
- Company: Join a leading parametric insurance firm with a mission to enhance resilience against climate change.
- Benefits: Competitive salary, bonuses, remote work options, and continuous learning opportunities.
- Other info: Collaborative international team focused on diversity and inclusion.
- Why this job: Make a real impact on communities while working with top experts in a dynamic environment.
- Qualifications: Experience in data science or climate modelling; proficient in Python and machine learning.
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 and scientists on top of their field to bring underwriting excellence. After 6 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning and real-time monitoring from satellite imagery.
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
- 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 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 (via Github)
- Step 3: Remote technical interview
- Step 4: In person final round interview to meet the team and discover our office in London
Data Scientist - London employer: Descartesunderwriting
Descartes Underwriting is an exceptional employer that offers a unique opportunity to work at the forefront of parametric insurance, particularly in the dynamic field of climate risk. With a strong commitment to employee development through continuous learning and collaboration with top-tier professionals, you will thrive in a diverse and inclusive environment that values innovation and resilience. Located in London, our team is passionate about making a meaningful impact while enjoying competitive salaries and flexible working arrangements.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - London
✨Tip Number 1
Get your networking game on! Connect with professionals in the data science and climate modelling fields on LinkedIn. Join relevant groups and participate in discussions to get noticed and learn about potential job openings.
✨Tip Number 2
Prepare for those technical interviews by brushing up on your Python skills and machine learning methods. Practice coding challenges and be ready to showcase your problem-solving abilities during the interview process.
✨Tip Number 3
Don’t underestimate the power of a good online project! Create a GitHub repository showcasing your work in data science or climate modelling. This will not only demonstrate your skills but also give you something tangible to discuss during interviews.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows your genuine interest in joining Descartes Underwriting and contributing to our mission.
We think you need these skills to ace Data Scientist - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience in data science and climate modelling, and don’t forget to showcase your skills in Python and machine learning methods. We want to see how you can bring your unique expertise to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for weather and natural perils modelling. Tell us why you're excited about joining Descartes and how you align with our mission. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on any relevant projects, especially those involving statistical or machine learning methods, make sure to include them. We’re keen to see your practical experience, so link to your GitHub or any other portfolio that showcases your work!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Descartes Underwriting!
How to prepare for a job interview at Descartesunderwriting
✨Know Your Stuff
Make sure you brush up on your statistics, applied mathematics, and machine learning methods. Be ready to discuss specific algorithms you've built in Python, especially using libraries like scikit-learn. This will show that you’re not just familiar with the theory but can apply it practically.
✨Show Your Passion for Climate Modelling
Since Descartes focuses on weather and climate-related risks, demonstrate your interest in this area. Share any relevant projects or experiences related to climate modelling or natural perils. This will help you connect with the team’s mission and values.
✨Prepare for Technical Challenges
Expect to tackle a technical project during the interview process. Familiarise yourself with common data science problems and be prepared to explain your thought process. Practising coding challenges on platforms like GitHub can give you an edge.
✨Emphasise Team Spirit and Adaptability
Descartes values collaboration and the ability to work under pressure. Be ready to share examples of how you’ve worked effectively in teams and adapted to changing situations. Highlight your eagerness to learn and contribute to a diverse, international environment.
