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- Tasks: Use Python and AI to analyse ad data and enhance consumer safety.
- Company: Join the Advertising Standards Authority, dedicated to protecting UK consumers.
- Benefits: Competitive salary, hybrid work model, and a chance to make a difference.
- Other info: Exciting opportunity with a focus on consumer protection and innovative technology.
- Why this job: Be part of a mission to ensure honest advertising while developing your data science skills.
- Qualifications: Proficient in Python and passionate about data science.
The predicted salary is between 45000 - 60000 £ per year.
The Advertising Standards Authority seeks a Data Scientist in London with a salary range of £45k - £60k (pro rata). The role involves utilizing Python and AI to analyze ad data within a hybrid working environment.
Candidates should be enthusiastic about data science, efficient in Python coding, and capable of communicating technical concepts to non-technical team members.
The team aims to protect UK consumers from misrepresentative advertising.
Closing date for applications is May 17, 2026.
AI-Powered Data Scientist for Safer Ads (Hybrid London) employer: Advertising Standards Authority
Contact Detail:
Advertising Standards Authority Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Powered Data Scientist for Safer Ads (Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Advertising Standards Authority on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project using Python that showcases your data analysis abilities. Bring it up in interviews to demonstrate your hands-on experience with AI and data science.
✨Tip Number 3
Practice makes perfect! Get comfortable explaining complex technical concepts in simple terms. This will help us connect with non-technical team members during interviews and show our communication skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CV and cover letter to match the job description perfectly.
We think you need these skills to ace AI-Powered Data Scientist for Safer Ads (Hybrid London)
Some tips for your application 🫡
Show Your Passion for Data Science: Let us see your enthusiasm for data science shine through in your application. Share any personal projects or experiences that highlight your love for analysing data and using AI, especially in the context of advertising.
Highlight Your Python Skills: Make sure to showcase your proficiency in Python coding. We want to know about your experience with Python libraries and frameworks that are relevant to data analysis. Don’t forget to mention any specific projects where you’ve used these skills!
Communicate Clearly: Since you'll be working with non-technical team members, it’s crucial to demonstrate your ability to explain complex concepts in simple terms. Use your application to show how you can bridge the gap between technical and non-technical audiences.
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 regarding the role. Plus, we love seeing applications come through our platform!
How to prepare for a job interview at Advertising Standards Authority
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python coding, and maybe even prepare for a coding challenge. Practising common data manipulation tasks can really help you shine!
✨Understand AI Applications in Advertising
Familiarise yourself with how AI is currently being used in advertising. Think about specific examples where AI has improved ad targeting or consumer protection. This will show your enthusiasm for the role and your understanding of the industry.
✨Communicate Like a Pro
Since you'll need to explain technical concepts to non-technical team members, practice simplifying complex ideas. Try explaining a data science concept to a friend who isn’t in the field. This will help you convey your knowledge clearly during the interview.
✨Show Your Passion for Consumer Protection
The role is all about protecting consumers from misleading ads, so be prepared to discuss why this matters to you. Share any relevant experiences or thoughts on ethical advertising, as this will resonate well with the team’s mission.