2355 IT & Software Developer jobs in the UK

Advertising Standard Authority jobs

Data Scientist

£45,000 - 60,000
Advertising Standard Authority
Paul Street 37-45, Old Street
£45,000 - 60,000
Company Size icon
Company Size
50-200
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- Genuine enthusiasm for using Data Science and AI to improve ad regulation in the UK - Previous experience as a Data Scientist, or similar professional experience in data-intensive academic research or as an analyst with Python experience - Ability to write high-quality Python code to manipulate complex datasets - Clear communication skills with non-technical coworkers to understand challenges in regulating online advertising - Experience with Large Language Models (LLMs) either professionally or through personal exploration - Impact-focused mindset, prioritizing technical solutions that deliver real impact - Curiosity and ambition, creatively solving problems while focusing on system/process improvements

Technologies

AI
LESS
Marketing

Responsibilities

- Join our Data Science team to work on the Active Ad Monitoring system - Analyze large volumes of ads captured by the Active Ad Monitoring system - Provide intelligence that helps teams across the ASA tackle real-world issues in online advertising - Use Python and AI models to extract meaning from text, images, and videos - Turn unstructured data into actionable intelligence - Help understand how AI can accelerate processes across the ASA - Own your work end-to-end and see the direct impact of your contributions

Description


We are the UKs regulator of advertising across all media, committed to ensuring ads are legal, decent, honest, and truthful. Our Data Science team works on a world-leading Active Ad Monitoring system that uses AI to monitor online advertising proactively. This role offers an opportunity for flexible working hours with a hybrid model based in London. We prioritize diversity and welcome applications from candidates of all backgrounds, actively encouraging those from underrepresented groups, including women in data science roles.
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