Data Scientist

Old Street
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

DATA SCIENTIST - Computer Vision / Generative AI

Data Scientist
Salary Circa £45,000 - £60,000
Location London (Hybrid)
Permanent
Full time / Part time
Closing Date: April 28th 2025
We currently have an opportunity for a Data Scientist to join our team. This role is open to flexible working, with 21 hours per week a minimum.
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. Our Data Science team uses data and machine learning to proactively monitor online advertising and is responsible for our Active Ad Monitoring system, which captures and processes more than 3 million ads each month, allowing us to respond rapidly and effectively to important issues. We are seeking someone with prior professional experience working with complex datasets to join this team.
Reporting to the Head of Data Science, in this role you will work with the ads captured by the ASA’s Active Ad Monitoring system. You will work with images, videos and especially the text of ads from social media, search and web display. You will collaborate with experts across a range of advertising sectors to understand their needs. You will work primarily in Python to perform analysis to extract insight about prevalence of potential issues and help inform priorities. You will also train machine learning models and use LLM-based tools to filter large volumes of ads to find those that are relevant, or that break the rules. You will take end-to-end ownership of projects and will directly see how your work protects people in the UK from harmful and misleading content.
Current projects within the team focus on diverse topics such as ensuring influencer marketing on social media follows advertising rules; monitoring the green claims companies make to consumers; and making sure ads for weight loss medications are responsible. You will report directly to the Head of Data Science, working alongside other Data Scientists and Data Engineers. As part of a developing team, you will have the chance to help shape our approach and ultimately the way data-led insight and machine learning is used to regulate advertising.
Candidates must be able to work with data in Python, and have an understanding of statistical concepts and machine learning. You must be comfortable communicating complex ideas to non-technical people, and you must believe in our mission as a regulator. Candidates should either have prior data science experience, or have done similar work in another setting e.g. academic research in a data-intensive field or as an analyst working with Python. Please note we do not have a sponsorship licence and are unable to sponsor visas.
We think the ASA is a great place to work. We have a culture that’s open, friendly and collaborative, with a real focus on making the right decisions in the right way, and learning while we’re doing it. We’re always looking to improve diversity within our teams, and we’d love to hear from people from diverse backgrounds for this role. We encourage applications from candidates who are likely to be underrepresented in this field of work. We operate a hybrid working model and office attendance is required 40% of your contracted hours.
How to apply: If you’re interested in applying for this role, please review the job description below and complete the online questions telling us how you meet the requirements of the role and how you can contribute to our success.
Please note that we'll keep the ad open till we fill the post and will be reviewing applications as they come in.
Role: The Data Scientist will deliver analysis and machine learning projects that address real-world challenges faced by the ASA in the regulation of online advertising.
Responsibilities
With support from the Head of Data Science and time to learn new skills where needed the Data Scientist will:


  • Take end-to-end ownership of data science projects

  • Communicate with stakeholders to understand the challenges they face daily when regulating advertising, translating these into technical solutions

  • Work with a range of unstructured data such as text, images and videos from a variety of sources

  • Apply statistical and machine learning techniques to these datasets including LLM-based tools

  • Deliver insights that inform the focus and approach taken when teams deliver regulation in specific areas

  • Deploy models into production to support ongoing monitoring of compliance and proactive identification of potentially problematic content

We are looking for candidates who have:


  • Prior relevant experience – Experience working with complex datasets either as a Data Scientist, or another relevant role e.g. in academic research or an analyst role.

  • Programming Skills – Experience writing code to manipulate data and apply statistical or machine learning techniques in Python

  • Statistics/Machine Learning – Experience applying at least a couple of statistical and/or machine learning techniques and an understanding of how those techniques work behind the scenes

  • Communication – The ability to communicate technical solutions to non-technical stakeholders, explaining the value of your work

The ideal candidate also has the following personal attributes:


  • Interest in our mission - A desire to make a positive contribution to the regulation of advertising in the UK

  • Creative problem solver - Able to think about a complex problem from multiple perspectives, identifying potential solutions

  • Takes ownership - Willing to take responsibility for delivering a project end-to-end

  • Critical thinking - Able to reflect on their work, spotting mistakes and weaknesses and correcting them where practical

  • Team worker - Wants to collaborate with a team of individuals with mixed expertise and backgrounds, making a positive contribution to team culture

Please note we do not have a sponsorship licence and are unable to sponsor visas

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.

Data Science Jobs in the Public Sector: Exploring Opportunities Across GDS, NHS, MOD, and More

Data science has emerged as one of the most influential fields in the 21st century, transforming how organisations make decisions, improve services, and solve complex problems. Nowhere is this impact more visible than in the UK public sector. From the Government Digital Service (GDS) to the National Health Service (NHS) and the Ministry of Defence (MOD), government departments and agencies handle vast amounts of data daily to support the well-being and security of citizens. For data enthusiasts looking to make a meaningful contribution, data science jobs in the public sector can offer rewarding roles that blend innovation, large-scale impact, and societal benefit. In this comprehensive guide, we’ll explore why data science is so pivotal to government, the roles you might find, the skills needed, salary expectations, and tips on how to succeed in a public sector data science career.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.