Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist - 3 month FTC

Sphere Digital Recruitment Group
City of London
4 days ago
Create job alert

An exciting research and analytics company in London is looking for a Data Scientist to join the team on a contract basis.

  • Location: London
  • Office policy: 1 day per week in the office
  • Contract length: 3 month's, with potential to go permanent
  • Start date: 03/11/2025
  • Salary: £70,000-£75,000 (pro rata for FTC)

The Job

  • Analyse app, web, and in-home data to measure campaign effectiveness at impression and outcome level.
  • Lead on brand lift measurement, showing how advertising works and refining the signals that prove campaign impact.
  • Apply regression analysis, MMM techniques and work with AI/LLMs where relevant.
  • Collaborate closely with engineering and product teams to integrate data from multiple systems.
  • Translate insights into clear, actionable recommendations for ad tech clients and internal stakeholders.
  • Present findings to non-technical stakeholders, focusing on outcome metrics and campaign improvement.

You

  • Experienced Data Scientist with a background in fraud, methodology, and campaign/brand measurement.
  • Strong technical skills across Python, regression modelling and MMM.
  • Confident working with large datasets and combining app, web and device-level data.
  • Able to operate at outcome level, translating complex data into clear commercial recommendations.
  • Comfortable speaking with non-technical stakeholders and senior leaders.
  • Flexible and collaborative, with experience in fast-growing environments.

Apply Now
If you are an experienced Data Scientist looking for your next contract and want to join a fast-scaling business, please apply now.


We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion, belief, sexual orientation, gender reassignment, marriage and civil partnerships, pregnancy or maternity or age.

Sphere Digital Recruitment is acting as an Employment Business in relation to this vacancy.

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.