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- Tasks: Build software and data infrastructure for advanced data science in media advertising.
- Company: Leading independent media agency in the UK with a focus on innovation.
- Benefits: Hybrid working, strong career growth support, and a collaborative team environment.
- Other info: Enriching environment perfect for aspiring data scientists.
- Why this job: Join a dynamic team and shape the future of media advertising with your data skills.
- Qualifications: Pursuing a relevant degree with skills in Python, machine learning, and SQL.
The predicted salary is between 20000 - 30000 £ per year.
A leading independent media agency in the UK seeks a University Placement Data Science Engineer to join their data team. This role focuses on building software and data infrastructure for advanced data science in media advertising.
The ideal candidate will pursue degrees in relevant fields and possess strong skills in Python, machine learning, and SQL.
With hybrid working opportunities and robust support for career growth, this position offers an enriching environment for prospective data scientists.
University Data Science Engineer: AI Tools & Pipelines in London employer: Medialab Group
Contact Detail:
Medialab Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land University Data Science Engineer: AI Tools & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, machine learning models, or SQL queries. This gives us tangible proof of what you can do and makes you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and practical tests. We want to be ready to demonstrate our knowledge and problem-solving skills on the spot!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re genuinely interested in joining our team.
We think you need these skills to ace University Data Science Engineer: AI Tools & Pipelines in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your skills in Python, machine learning, and SQL. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects or coursework!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data science and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any cool data science projects, make sure to mention them! Whether it's a university project or something you did on your own, we want to know what you've built and how it relates to media advertising.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Medialab Group
✨Know Your Tech
Make sure you brush up on your Python, machine learning, and SQL skills before the interview. Be ready to discuss specific projects or experiences where you've applied these technologies, as this will show your practical knowledge and problem-solving abilities.
✨Understand the Media Landscape
Since the role is in media advertising, it’s crucial to have a grasp of how data science impacts this field. Research current trends in media advertising and think about how data-driven decisions can enhance campaigns. This will help you demonstrate your enthusiasm and relevance to the role.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data pipelines and AI tools. Practice coding challenges or case studies related to data engineering. Being able to articulate your thought process while solving problems will impress the interviewers.
✨Show Your Growth Mindset
The company values career growth, so be prepared to discuss your learning journey. Share examples of how you've sought feedback, tackled challenges, or pursued new skills. This will highlight your commitment to personal and professional development, which aligns with their supportive environment.