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- Tasks: Analyse data and optimise campaigns to boost advertising performance.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Gain essential experience in a dynamic environment and enhance your skills.
- Why this job: Join a vibrant team and make a real impact on advertising strategies.
- Qualifications: Final year students with Python and SQL skills are encouraged to apply.
- Other info: Full-time internship from May to September 2026 with great growth potential.
The predicted salary is between 500 - 1500 £ per month.
A leading technology company located in Greater London is seeking an intern for its Growth Data Science team. The role involves data analysis, campaign optimization, and collaboration with stakeholder teams to improve advertising performance.
Candidates should be in their final year of study or earlier, possess skills in Python and SQL, and be available full-time for a 3-month internship from May to September 2026. The position offers essential experience in a dynamic tech environment.
Growth Data Science Intern — Ad Analytics, London Office employer: MOLOCO
Contact Detail:
MOLOCO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Data Science Intern — Ad Analytics, London Office
✨Tip Number 1
Network like a pro! Reach out to current or former employees on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project using Python or SQL that showcases your data analysis abilities. Bring it up during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss real-world applications of your work. Think about how your data analysis could optimise campaigns and improve advertising performance, and be prepared to share your ideas.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Growth Data Science Intern — Ad Analytics, London Office
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you can use these tools to tackle data analysis and campaign optimisation.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your experiences align with the Growth Data Science role. We love seeing candidates who are genuinely interested in what we do.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply 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 people!
How to prepare for a job interview at MOLOCO
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your practical knowledge and readiness for the role.
✨Understand Ad Analytics
Familiarise yourself with the basics of ad analytics and campaign optimisation. Research common metrics and strategies used in the industry so you can speak confidently about how you would approach improving advertising performance.
✨Show Your Collaborative Spirit
Since the role involves working with various stakeholder teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can contribute to a team environment.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This shows your genuine interest in the role and the company. You might ask about the team's current projects or how success is measured in the internship.