At a Glance
- 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 employer: Medialab Group
As a leading independent media agency in the UK, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through our robust support systems and hybrid working opportunities, making it an ideal environment for aspiring data scientists to thrive and develop their skills in cutting-edge AI tools and pipelines.
StudySmarter Expert Advice🤫
We think this is how you could land University Data Science Engineer: AI Tools & Pipelines
✨Tip Number 1
Network like a pro! Reach out to current employees at the agency on LinkedIn or through university connections. A friendly chat can give us insights into the company culture 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 is your chance to demonstrate what you can bring to the table beyond just your CV.
✨Tip Number 3
Prepare for the interview by brushing up on common data science questions and practical tests. We recommend practicing coding challenges and discussing your thought process out loud to impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.
We think you need these skills to ace University Data Science Engineer: AI Tools & Pipelines
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
Familiarise yourself with how data science is used in media advertising. Research current trends and challenges in the industry, so you can speak intelligently about how your skills can contribute to the agency's goals.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of data pipelines and AI tools. Practice coding problems and be prepared to explain your thought process clearly, as communication is key in a collaborative environment.
✨Show Enthusiasm for Growth
This role offers robust support for career growth, so express your eagerness to learn and develop. Share your long-term career aspirations and how this position aligns with them, demonstrating that you're not just looking for a job, but a place to grow.
