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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: Make an impact in the insurance industry while developing your data science skills.
- Qualifications: Pursuing a relevant degree with strong programming skills in Python and SQL.
- Other info: Exciting opportunity for career growth in a dynamic environment.
The predicted salary is between 1500 - 4500 £ 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
Prepare for the interview by brushing up on your Python and SQL skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common data science questions.
✨Tip Number 3
Showcase your projects! If you've worked on any data science projects, make sure to highlight them during your interview. We want to see how you’ve applied your skills in real-world scenarios.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have tips and resources available there to help you stand out.
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 is tailored to the internship. Highlight your relevant skills in Python and SQL, and any projects or coursework that showcase your data wrangling and analysis abilities. We want to see how you fit into our world!
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 aligns with your career goals. Let us know what excites you about working with real-world insurance data.
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 love seeing practical applications of your skills, so include links to your GitHub or any relevant portfolios!
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 gets into 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 tools and techniques commonly used in the industry, especially Python and SQL, as these will likely come up during your interview.
✨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 technical skills but also your problem-solving abilities.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the internship, the team you'll be working with, and the types of projects you might tackle. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
✨Practice Coding Challenges
Since programming is key for this role, 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.