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

Nominate & Attend

Data Scientist

Aquent
uk
11 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist - AI / ML, Python, Scripting, Cyber Security

Data Scientist - Inside IR35 contract

Data Scientist

Data Scientist

Data Scientist / ML Engineer

Overview

Placement Type:

Temporary

Compensation:

£361-£400 per day(PAYE Inside IR35)

Start Date:

Asap

Data Scientist, Analytics Duties

Data Scientist (Analytics) is to help teams make better data-driven decisions. This is done in the following way:

Collect, organize, interpret, and summarize statistical data in order to contribute to the design and development of 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 Think about key questions and metrics to define success for any product/feature.In connection with these duties, may apply knowledge of the following:Performing quantitative analysis including data mining on highly complex data sets Data querying languages, such as SQL, scripting languages, such as Python, or statistical or mathematical software, such as R, SAS, or Matlab Applied statistics or experimentation, such as A/B testing, in an industry setting Communicating the results of analyses to product or leadership teams to influence strategy Machine learning techniques ETL (Extract, Transform, Load) processes Relational databases Large-scale data processing infrastructures using distributed systems Quantitative analysis techniques, including clustering, regression, pattern recognition, or descriptive and inferential statistics.

THE ROLE

We have 3 areas in Experiences: Organic (focusing on consumers), Paid (focusing on business/advertisers), Platform (infra to help scale the other two)

We are looking for a Data Scientist to join our Paid Experiences team. Specifically, this will work with our Engineers, Designers and Product Managers to: Understand what integrity experiences prevent advertisers from running ads successfully Help advertisers (self-)remediate to unblock their campaigns, while protecting the organisation from harm

WHO WE ARE LOOKING FOR

Excited about giving millions of users a day a more supportive integrity experience when they face enforcements or encounter harm on the platform Excited about optimising systems for scale at the intersection of user facing experiences and platform capabilities 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

Minimum Qualifications

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 Machine learning techniques 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.

Top 10 Mistakes Candidates Make When Applying for AI Jobs—And How to Avoid Them

Avoid the biggest pitfalls when applying for artificial intelligence jobs. Discover the top 10 mistakes AI candidates make—plus expert tips and internal resources to land your dream role. Introduction The market for AI jobs in the UK is booming. From computer-vision start-ups in Cambridge to global fintechs in London searching for machine-learning engineers, demand for artificial-intelligence talent shows no sign of slowing. But while vacancies grow, so does the competition. Recruiters tell us they reject up to 75 per cent of applications before shortlisting—often for mistakes that could have been fixed in minutes. To help you stand out, we’ve analysed thousands of recent applications posted on ArtificialIntelligenceJobs.co.uk, spoken with in-house talent teams and independent recruiters, and distilled their feedback into a definitive “top mistakes” list. Below you’ll find the ten most common errors, along with actionable fixes, keyword-rich guidance and handy internal links to deeper resources on our site. Bookmark this page before you hit “Apply”—it could be the difference between the “reject” pile and a career-defining interview.

Top 10 Best UK Universities for AI Degrees (2025 Guide)

Discover the ten best UK universities for Artificial Intelligence degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right AI programme for you. Artificial Intelligence continues to transform industries—from healthcare to finance to transportation. The UK leads the way in AI research and education, with several universities consistently ranked among the world’s best for Computer Science. Below, we spotlight ten UK institutions offering strong AI-focused programmes at undergraduate or postgraduate level. While league tables shift year to year, these universities have a track record of excellence in teaching, research, and industry collaboration.