Product Performance and Data Scientist

Vrieservice
Merseyside
1 week ago
Create job alert
Overview

Manpower are 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. The role is based at Unilever's scientific Research & Development facility in Port Sunlight Village, Wirral. This is a full-time temporary position running for 12 months, requiring 37.5 hours per week, Monday to Friday. Compensation is up to £31,205 per annum, pro rata, depending on experience.


Unilever is a major worldwide player in the hair care industry with leading brands such as Tresemme, Sunsilk, Dove and Nexxus, delivering innovation and functional performance to meet diverse consumer needs.


A role is available within the Consumer and Technology Insights team. You will be responsible for generating new insights and data from the Hair Category instrumental and consumer evaluation capability, mining large data sets, manipulating data, and generating insights that support product innovation. You may also create new empirical data through measurement techniques to support newly generated insights. You will improve data analysis and visualization, and contribute to the efficiency and effectiveness of the Hair Category capability by optimizing instrumentation, methods, data handling processes, and linking objective measures of performance with consumer perception. You will work with multi-disciplinary project teams across Unilever Global and Regional Hair Businesses to identify instrumentation and performance evaluation needs and help define the direction of the Hair Category measurement capability programme. This is an excellent opportunity for someone with a passion for technical insight building and data handling within a dynamic measurement community at Unilever.


Key Responsibilities

  • Lead aspects of the Hair Category's technical performance evaluation capability workstream, driving continuous improvement in measurement capability efficiency and effectiveness.
  • Define and implement data analysis and generic support plans for new and current active materials and products to demonstrate functional performance and generate claims substantiation data through modelling and experimentation.
  • Provide technical insights through the review and analysis of data from multiple sources, combining knowledge streams and/or developing performance and insight models.
  • Provide support to the innovation and capability workstreams within CTI measurements.

The Ideal Candidate

In a data‑driven scientific role, you will have significant experience in data management, analysis, visualization and communicating insights. You will have led your own projects and designed more efficient data analysis methods to extract actionable insights. You should be able to set project plans and manage stakeholders, and have experience in establishing relationships or partnerships within or external to your immediate team.


You Will Possess

  • BSc or MSc (or equivalent) in Data Science, Physical Sciences (including Physics, Materials Science, Polymer Science, Chemistry or Metrology)
  • Strong science background in data analytics, chemistry, physics, metrology or closely related subject
  • Proven experience in an industrial or academic data or measurement sciences area
  • Ideally, experience in an FMCG environment; healthcare, pharma, foods or other relevant research fields will be considered
  • Experience in software development / data packages would be beneficial
  • Experience in stakeholder management and working across multiple interfaces
  • Ability to interpret complex data from multiple sources and generate concise, clear insights for diverse audiences
  • Strong data handling, analysis and interpretation skills; significant experience with MS Excel or other data tools, and statistical analysis/model building using JMP, SAS or similar is beneficial

Port Sunlight Working Environment

  • Free onsite parking
  • Staff shop discounted products
  • Working in state-of-the-art laboratory and pilot plant facilities
  • 5 minutes walk to train station serving Liverpool & Chester
  • 20-minute drive from Liverpool city centre / 30-minute drive from Chester
  • Disabled parking
  • In the heart of picturesque Port Sunlight village
  • Site clubs available covering topics including Book Club, Running, Choir, Pool, Genealogy, and more
  • Onsite catering outlets providing a range of hot and cold food and drinks; vending machines and water dispensers available


#J-18808-Ljbffr

Related Jobs

View all jobs

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

Product Performance and Data Scientist

FMCG Product Performance Data Scientist — 12-Month

Product Performance Data Scientist: FMCG Insights

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.

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.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.