Data Scientist in London

Data Scientist in London

London Full-Time 45000 - 60000 £ / year (est.) No home office possible
Advertising Standards Authority

At a Glance

  • Tasks: Analyse ads using AI to protect UK consumers from misleading advertising.
  • Company: Join the ASA, the UK's regulator of advertising, in a hybrid working environment.
  • Benefits: Competitive salary, flexible hours, and a chance to make a real impact.
  • Other info: Diverse and inclusive workplace, with excellent career growth opportunities.
  • Why this job: Use your data science skills to tackle real-world issues in online advertising.
  • Qualifications: Experience in Python and data analysis, with a passion for AI and consumer protection.

The predicted salary is between 45000 - 60000 £ per year.

Salary & Location: £45k - £60k (pro rata if less than 35hrs per week) London (Hybrid Working) with London office presence needed 40% of your working week.

The Vacancy: 28-35hrs per week - open to discuss flexible working of these hours. The ASA is the UK’s regulator of advertising across all media, including online. Our work includes taking proactive action against misleading, harmful, offensive or otherwise irresponsible ads and acting on complaints. In short, we make sure ads are legal, decent, honest and truthful.

In this role you will join our Data Science team and work on our world-leading Active Ad Monitoring system, which uses AI to proactively monitor online advertising. In 2025 the system captured and processed 60 million ads across social media, search and programmatic display. The ASA uses this intelligence to help regulate ads across high-priority topics like injectable weight-loss medications, green claims companies make to consumers, disclosure of influencer marketing and many more.

You will be analysing the large volumes of ads the Active Ad Monitoring system captures, providing intelligence that helps teams across the ASA tackle real-world issues in online advertising. You will work primarily in Python, making extensive use of AI models to extract meaning from text, images and videos, and turning unstructured data into actionable intelligence. You will also have a role in helping understand how AI can help accelerate processes across the ASA.

Our team mission is to protect UK consumers from adverts that are misleading, cause harm and target those within our society that are the most vulnerable. Working as part of our small agile team you will have the opportunity to own your work end-to-end, seeing directly how the work you do helps protect UK consumers.

About you:

  • You will have a genuine enthusiasm for using Data Science and AI to improve ad regulation in the UK.
  • You will have either previously been a Data Scientist, or have similar professional experience, for example in data-intensive academic research or as an analyst with Python experience.
  • You will have the ability to write high-quality Python code to manipulate complex datasets.
  • You will be able to communicate clearly with non-technical coworkers, understanding the challenges they face regulating online advertising, and coming up with ways to use the technical tools at your disposal to help solve them.
  • You will have experience with Large Language Models (LLMs) either professionally or through personal exploration.
  • You’ll be impact focused - understanding the problems the ASA faces and prioritising technical solutions that will deliver real impact.
  • You will need to be curious and ambitious, creatively solving problems that may arise whilst always having an eye on system/process improvements.

Equal Opportunities: We are committed to building a workforce that reflects the full diversity of the UK population. We believe that varied perspectives and experiences strengthen our organisation and help us deliver our work more effectively. We welcome applications from people of all backgrounds and identities, and we actively encourage candidates from minority or underrepresented groups to apply. Women are currently under-represented within data science roles, and within our Data Science team. In line with our commitment to equality, diversity and inclusion, we particularly encourage applications from women and others who are under-represented in this area. Our recruitment process ensures applications are absent of names or any identifiable information which supports our aim of finding the best person for the role based on their skills and experience only.

Data Scientist in London employer: Advertising Standards Authority

The ASA is an exceptional employer, offering a unique opportunity to work at the forefront of advertising regulation in the UK. With a commitment to flexible working hours and a hybrid model, employees enjoy a supportive work culture that values diversity and inclusion, alongside opportunities for professional growth in data science and AI. Joining our small, agile team means your contributions will have a direct impact on protecting consumers, making this role both meaningful and rewarding.
Advertising Standards Authority

Contact Detail:

Advertising Standards Authority Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist in London

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those using Python and AI. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on common data science questions and coding challenges. Practising with friends or using online platforms can help you feel more confident.

✨Tip Number 4

Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about making a difference in ad regulation.

We think you need these skills to ace Data Scientist in London

Python
Data Analysis
AI Models
Large Language Models (LLMs)
Communication Skills
Problem-Solving Skills
Agile Methodologies
Data Manipulation
Curiosity
Impact Focus
System/Process Improvement

Some tips for your application 🫡

Show Your Passion for Data Science: Let us see your enthusiasm for using Data Science and AI in your application. Share specific examples of how you've used these skills to tackle real-world problems, especially in ad regulation or similar fields.

Highlight Your Python Skills: Make sure to showcase your Python coding abilities. We want to know how you've manipulated complex datasets in the past, so include any relevant projects or experiences that demonstrate your expertise.

Communicate Clearly: Remember, we value clear communication! When writing your application, think about how you can explain technical concepts in a way that non-technical folks can understand. This will show us you're a team player who can bridge the gap between tech and regulation.

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. We can't wait to see what you bring to the table!

How to prepare for a job interview at Advertising Standards Authority

✨Know Your Data Science Stuff

Make sure you brush up on your Python skills and be ready to discuss your experience with data manipulation and AI models. Be prepared to share specific examples of how you've used these skills in past projects or roles.

✨Understand the ASA's Mission

Familiarise yourself with the ASA's work and its impact on UK consumers. Show genuine enthusiasm for using data science to improve ad regulation, and think about how your skills can contribute to their mission of protecting consumers from misleading ads.

✨Communicate Clearly

Practice explaining complex technical concepts in simple terms. You'll need to demonstrate that you can communicate effectively with non-technical colleagues, so think of examples where you've successfully done this in the past.

✨Show Your Curiosity and Problem-Solving Skills

Be ready to discuss how you've tackled challenges in previous roles. Highlight your curiosity and ambition by sharing instances where you've creatively solved problems or improved processes, especially in data-intensive environments.

Data Scientist in London
Advertising Standards Authority
Location: London

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