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- Tasks: Join our team to analyse data and model risks in the insurance industry.
- Company: Descartes, a leading innovator in parametric insurance for climate-related risks.
- Benefits: Attractive salary, meal vouchers, transport reimbursement, and a chance to work remotely.
- Other info: Diverse, international team with excellent growth opportunities and a commitment to inclusion.
- Why this job: Make a real impact on climate resilience while collaborating with top experts.
- Qualifications: Studying computer science, applied mathematics, or data science; Python skills required.
The predicted salary is between 1500 - 2000 £ per month.
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.
Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe.
These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners.
- Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;
- Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you.
Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business; ideally a previous experience (internship) in data science, insurance or climate modelling.
- Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;
- Eye for quality and attention to detail;
- Fluency in English (written and verbal communication) is required;
- Proficiency in Python (e.g. pandas, scikit-learn);
- 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; 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; attractive remuneration according to the profile, meal voucher, 60% transport reimbursement.
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: At home technical online test (Github repository)
Step 3: Remote technical interview with a Data Scientist
Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)
Remote Machine Learning Data Scientist in City of London employer: Descartes Underwriting
Contact Detail:
Descartes Underwriting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Machine Learning Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Descartes. A friendly chat can open doors and give you insights that a job description can't.
✨Tip Number 2
Prepare for your interviews by brushing up on your technical skills. Make sure you're comfortable with Python and machine learning concepts, as these will likely come up during your chats with the team.
✨Tip Number 3
Show your passion for climate resilience! Be ready to discuss how your skills can contribute to helping businesses and communities adapt to climate change. It’s all about aligning your goals with Descartes’ mission.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our awesome team.
We think you need these skills to ace Remote Machine Learning Data Scientist in City of London
Some tips for your application 🫡
Show Your Passion for Data Science: When you're writing your application, let your enthusiasm for data science shine through! We want to see how your skills in statistics and machine learning can contribute to our mission at Descartes. Share any relevant projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the role. Highlight your experience with Python and any internships related to data science or climate modelling. We love seeing candidates who take the time to align their skills with what we’re looking for!
Be Clear and Concise: Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate attention to detail, so make sure there are no typos or grammatical errors in your submission!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Descartes!
How to prepare for a job interview at Descartes Underwriting
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially those relevant to insurance and climate risks. Familiarise yourself with Python libraries like pandas and scikit-learn, as they might come up in discussions or tests.
✨Show Your Passion
Descarte is all about resilience against climate change, so express your motivation for this cause. Share any projects or experiences that highlight your commitment to improving businesses and communities' resilience.
✨Prepare for Technical Questions
Expect technical questions during the interviews, especially in the remote technical interview. Practice explaining your thought process clearly and concisely, as well as solving problems on the spot.
✨Engage with the Team
During the in-person team interview, be ready to interact with potential colleagues. Ask insightful questions about their work and the company culture to show you're genuinely interested in being part of their diverse team.