At a Glance
- Tasks: Develop climate models and innovative algorithms to manage corporate risks.
- Company: Join Descartes, a leader in AI-driven insurance solutions.
- Benefits: Competitive salary, bonuses, remote work options, and continuous learning opportunities.
- Other info: Dynamic, diverse team with excellent career growth and a commitment to inclusion.
- Why this job: Make a real impact on climate resilience while working with top experts.
- Qualifications: Master's student in data science or related fields; experience in data science is a plus.
The predicted salary is between 50000 - 70000 £ per year.
Building Resilience in a World at Risk. Descartes is a corporate insurance group for worldwide companies and institutions. Descartes was born from a conviction that the growing complexity of corporate and climate risks demands a new approach to insurance. At the forefront of AI and Data analysis, Descartes utilises cutting-edge technology combined with a new generation of data sources, to model, assess and manage risks. Since 2019, Descartes has secured a leading position in parametric (re)insurance combining scientific & technological expertise with a new approach.
Our highly diverse and specialized team of 250+ people includes the largest modelling team in the industry featuring tech and modeling innovators, scientists in physics and climatology, as well as insurance veterans and underwriters. Due to rapid growth, we are seeking to expand our Data Science team across our Underwriting functions and we are looking for Data Scientists 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 clients;
- Identifying, implementing and deploying new statistical and machine learning methods to differentiate Descartes from its competitors;
Requirements:
- Master’s student in data science, computer science, applied mathematics, statistics or meteorological studies or related;
- Ideally a previous experience (long-term internship) in data science or climate modeling is valued;
- 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) is required;
- Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish...);
- Excellent team player with an entrepreneurial mindset and value of diversity;
- Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;
- Eager to learn more about the insurance industry.
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 a dynamic 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: Technical online test on Github
Step 3: Remote technical interview with a Data Scientist
Step 4: In-person team interview to meet our Data Scientist team and discover our offices (could be held remotely if you are abroad).
Machine Learning Data Scientist in City of London employer: Descartes Underwriting
Descartes is an exceptional employer, offering a unique opportunity to work at the intersection of cutting-edge technology and climate resilience in the heart of London. With a commitment to employee growth through continuous learning and development, our diverse team thrives in a dynamic environment that values innovation and collaboration. Join us to make a meaningful impact while enjoying competitive salaries, bonuses, and the flexibility of home office days.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Data Scientist in City of London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Machine Learning Data Scientist in City of London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at Descartes Underwriting will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at Descartes Underwriting
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress Descartes Underwriting.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show Descartes Underwriting that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
