At a Glance
- Tasks: Develop innovative solutions and optimise digital campaigns for youth audiences.
- Company: Leading tech company in the UK focused on youth digital engagement.
- Benefits: Exciting projects, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on how brands connect with young people globally.
- Qualifications: Strong skills in Python, SQL, data manipulation, and machine learning.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in the United Kingdom is looking for a Data Scientist to help develop innovative solutions in the youth digital ecosystem. The role involves collaborating with product teams to identify business needs and creating models to optimize digital campaigns.
Ideal candidates will have strong skills in Python and SQL, as well as experience in data manipulation and machine learning. This position offers an exciting opportunity to impact the digital engagement of youth audiences globally.
Data Scientist: Youth Insights & AdTech Modeling employer: SuperAwesome
Contact Detail:
SuperAwesome Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist: Youth Insights & AdTech Modeling
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in youth insights and AdTech. A friendly chat can lead to valuable connections and even job referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. Highlight any machine learning models you've built, as this will demonstrate your expertise and passion for data science.
✨Tip Number 3
Prepare for interviews by brushing up on common data science questions and case studies. Practice explaining your thought process when solving problems, as collaboration with product teams is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Scientist: Youth Insights & AdTech Modeling
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've used these tools in real projects, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention how your experience aligns with developing solutions in the youth digital ecosystem and optimising digital campaigns. It’ll make you stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon and focus on what makes you a great fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at SuperAwesome
✨Know Your Data Science Stuff
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in relation to data manipulation and machine learning. This will show that you can hit the ground running!
✨Understand the Youth Digital Ecosystem
Research the latest trends in youth digital engagement and AdTech. Being able to discuss how your insights can help optimise digital campaigns for younger audiences will demonstrate your passion and understanding of the role.
✨Collaborate Like a Pro
Since this role involves working with product teams, think of examples where you've successfully collaborated in the past. Prepare to share how you identified business needs and contributed to team goals, as this will highlight your teamwork skills.
✨Prepare Questions
Have a few thoughtful questions ready about the company’s approach to youth engagement and their current projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.