Product Performance and Data Scientist

Manpower

Merseyside

3 weeks ago

Applications closed

Related Jobs

View all jobs

Product Data Scientist

TikTok Shop - Senior Data Scientist, Operations

Associate Data Scientist

Data Scientist

Senior Pricing Data Scientist

Data Scientist within Asset & Wealth Management (Senior Associate)

Manpower are currently seeking an interim Product Performance and Data Scientist to work with our global FMCG client Unilever, renowned for brands such as Dove, Sure, Persil, and Simple, and become an integral part of their fast-paced FMCG environment.

The position is based at our client's scientific Research & Development facility in Port Sunlight Village, Wirral easily accessible by train and car. This is a full-time temporary role to run for 12 months, requiring 37.5 hours per week, Monday to Friday. Compensation for this role is competitive, paying up to £31,205 per annum, pro rata, depending upon experience.

Unilever is a major worldwide player in the hair care industry with a significant number of leading brands, including Tresemme, Sunsilk, Dove and Nexxus, that rely on innovation and functional performance to deliver to every consumer's diverse product needs.

A role is available for a motivated and creative individual within our Consumer and Technology Insights team. In this role, you will have responsibility in generating new insights and data from our extensive Hair Category instrumental and consumer evaluation capability. This role will require the mining of large data sets, the manipulation of data and generation of new insights that are clearly communicated to direct product innovation. There maybe a requirement to create new empirical data through several meas...

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

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.