Product and Data Scientist

Position: Product Performance and Data Scientist
Location: Merseyside

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 measurement techniques in order to further support newly generated insights.

You will also be tasked to improve the analysis and visualisation of data as well as determine improvements to the efficiency and effectiveness of the Hair Category capability through the optimisation of instrumentation, methods and data handling processes, and the building of links between objective measures of performance and consumer perception.

You will work closely with multi-disciplinary project teams across the Unilever Global and Regional Hair Businesses to identify their respective instrumentation and performance evaluation needs to take new technologies and products to market, and with them define the direction of the Hair Category measurement capability programme.

This position is an excellent opportunity for someone with a passion for technical insight building and data handling and seeking to join a dynamic measurement community within Unilever.

KEY RESPONSIBLTILES:

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 own modelling and experimentation.
Provide technical insights through the review and analysis of data from multiple sources, adding value by combining knowledge streams and/or developing performance and insight models.
Provide support to the innovation and capability work streams within CTI measurements.

THE IDEAL CANDIDATE

Within a data driven scientific role, you will have significant experience in data management, analysis, visualisation and communication of insights. You will have experience in leading your own projects and designing new, more efficient methods of data analysis in order to extract actionable insights. Along with this, you will have demonstrated an ability to set project plans and manage stakeholders. You will have had experience of 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, you'll have experience in a FMCG environment. Experience in healthcare, pharma, foods or other relevant research fields will be considered
Experience in software development / data packages would be beneficial
Experience in stakeholder management…