National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

62969 – Data Scientist

Career Moves
London
1 month ago
Create job alert

Data Scientist

Location: London, UK
Length: 8 Months
Start date: 28/07/2025 – 11/03/2026
Rate: £ p/h
Hours: Normal Business Hours


Overview of the role
• Our client is looking for someone to cover Appeals for account enforcements, when we take an action on a user or advertiser’s account
• They are looking for a seasoned data scientist to support both strategically and operationally
• You will work with Engineers, Designers and Product Managers to: Improve the mechanisms that exist to appeal ( Consider account disables, feature limits and lightweight enforcements) and Identify how we meet the needs and expectations of our users and what opportunities there are to improve. Balance reducing harm on the platform with protecting voice and revenue, alongside regulation and cost guardrails. Align the business on your improvement ideas and support their implementation
• You will also work closely with data partners to establish or improve our measurement capabilities in this space, ensuring that the team always stays on target.


Responsibilities of the role
• Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of client products
• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities
• Inform, influence, support, and execute our product decisions and product launches
• May be assigned projects in various areas including, but not limited to, product operations, exploratory analysis, product influence, and data infrastructure
• Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors
• Demonstrate good judgment in selecting methods and techniques for obtaining solutions
• Perform data analyses on tactical (feature-level) and strategic (team objectives and goals) work to drive team direction
• Develop strategic narrative based on analytical insights and priorities


Skills & Attributes
• Excited about giving millions of users a day a more supportive integrity experience when they face client enforcements
• Excited about optimising systems for scale at the intersection of user facing experiences and platform capabilities while balancing multiple competing priorities
• Enjoys thinking through how we best form partnerships with other teams and how scalable solutions should be governed effectively.
• Enjoys getting their hands dirty to understand data and system disconnects and can drive insightful root-cause-analysis
• Passionate about building solid and scalable measurement solutions


Qualifications & Experience
• Requires a Master’s degree in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Economics, Physics, Applied Sciences, or a related field.
• Requires knowledge or experience in the following: Performing quantitative analysis including data mining on highly complex data sets
• Data querying language: SQL
• Scripting language: Python
• Statistical or mathematical software including one of the following: R, SAS, or Matlab
• Applied statistics or experimentation, such as A/B testing, in an industry setting
• Quantitative analysis techniques, including one of the following: clustering, regression, pattern recognition, or descriptive and inferential statistics

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.