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- Tasks: Gain hands-on experience in data wrangling, modelling, and analysis with real-world data.
- Company: Leading analytics firm known for innovation and excellence.
- Benefits: Paid internship, hybrid work model, and potential full-time offer.
- Why this job: Kickstart your career in data science while making a real impact in the insurance industry.
- Qualifications: Pursuing a relevant degree with strong programming skills in Python and SQL.
- Other info: Dynamic team environment with opportunities for growth and learning.
The predicted salary is between 500 - 1500 £ per month.
A leading analytics firm is offering a Data Science Summer Internship in London. This full-time, hybrid program will provide hands-on experience across the data science workflow, facilitating skills in data wrangling, modeling, and analysis. Interns will work on real-world insurance data to assist risk assessment and may receive a full-time offer after successful completion.
Applicants should be pursuing a relevant degree and possess strong programming capability in Python and SQL.
Paid London Data Science Internship - Hybrid, Summer 2026 employer: Maplecroft
Contact Detail:
Maplecroft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Paid London Data Science Internship - Hybrid, Summer 2026
✨Tip Number 1
Network like a pro! Reach out to current or past interns at the firm on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data wrangling, modelling, and analysis projects. This will help us stand out during interviews.
✨Tip Number 3
Prepare for technical interviews! Brush up on Python and SQL, and practice common data science problems. We want to impress them with our coding chops!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can keep track of our progress easily!
We think you need these skills to ace Paid London Data Science Internship - Hybrid, Summer 2026
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences that align with the internship. We want to see your programming prowess in Python and SQL, so don’t hold back on showcasing those projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how this internship fits into your career goals. We love seeing enthusiasm and a clear connection to our work.
Showcase Your Projects: If you've worked on any data science projects, whether in class or on your own, make sure to mention them. We’re keen to see how you’ve applied your skills in real-world scenarios, especially with data wrangling and analysis.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right hands!
How to prepare for a job interview at Maplecroft
✨Know Your Data Science Basics
Make sure you brush up on your data science fundamentals. Be ready to discuss concepts like data wrangling, modelling, and analysis. Familiarise yourself with the specific tools and techniques relevant to the internship, especially Python and SQL, as these will likely come up in technical questions.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving real-world data. Highlight your role, the challenges you faced, and how you overcame them. This not only demonstrates your skills but also shows your problem-solving abilities, which is crucial for a data science role.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the company and the internship. Inquire about the types of projects interns typically work on or how the team approaches risk assessment. This shows your genuine interest and helps you gauge if the role is right for you.
✨Practice Coding Challenges
Since programming skills are essential for this internship, practice coding challenges in Python and SQL. Websites like LeetCode or HackerRank can be great resources. Being able to solve problems on the spot will boost your confidence and impress your interviewers.