Product Performance and Data Scientist
Vrieservice
- England, United Kingdom
- England, United Kingdom
À propos
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
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Compétences linguistiques
- English
Avis aux utilisateurs
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