Basic

Senior R&D Data Scientist

milton keynes, south east england, United Kingdom Company: JR UK Client / Employer: Protea Recruitment Ltd | Food | Drinks | FMCG Recruitment Partner
Posted: 19.05.2026
Closing date: 03.07.2026
Job reference: 7d432ec436f49710d594256d7734453d

Job information

Location
milton keynes, south east england, United Kingdom
Company
JR UK
Client / Employer
Protea Recruitment Ltd | Food | Drinks | FMCG Recruitment Partner
Job reference
7d432ec436f49710d594256d7734453d
Listing type
Basic
EU work permit required
No
Posted
19.05.2026
Closing date
03.07.2026

Job description

Senior R&D Data Scientist

Location: Buckinghamshire

Sector: FMCG / Food Manufacturing / Innovation & Technology

Salary: Competitive + Benefits


The Opportunity

A leading international food manufacturer is seeking a Senior R&D Data Scientist to join its central Innovation & Technology function. This is a high-impact role focused on accelerating product innovation through advanced modelling, predictive analytics, AI/ML applications, and data-driven scientific insight.

Working within a global R&D and innovation environment, the successful candidate will play a key role in transforming technical data into actionable solutions that support faster product development, improved formulation understanding, enhanced sustainability, and smarter decision-making across innovation programmes.

This role offers the opportunity to work at the intersection of food science, data science, and product innovation within a highly collaborative and future-focused environment.


Key Responsibilities

  • Develop and apply predictive models to improve understanding of ingredient interactions, formulation behaviour, and product functionality.
  • Build modelling tools that accelerate innovation timelines and reduce dependency on physical experimentation.
  • Lead the application of statistical modelling, AI, and machine learning approaches across product and process development activities.
  • Design and execute Design of Experiments (DoE) and multivariate studies to generate high-value datasets.
  • Develop optimisation models to support formulation efficiency, process improvements, and product performance.
  • Create hybrid mechanistic and data-driven models for areas such as shelf-life prediction, stability, and process optimisation.
  • Translate complex technical outputs into clear, visual, decision-ready insights for both technical and non-technical stakeholders.
  • Support data governance, data quality standards, and modelling infrastructure development.
  • Collaborate closely with cross-functional teams including Innovation, Product Development, Procurement, Technical, and external partners.
  • Work with suppliers, technology providers, and research organisations to identify and implement leading-edge modelling capabilities.
  • Contribute to medium and long-term innovation and sustainability roadmaps across the wider business.


Candidate Profile

We are looking for an individual with strong technical and analytical capability combined with excellent collaboration and communication skills. The ideal candidate will be comfortable operating within complex global environments and translating scientific data into practical commercial outcomes.

Key Experience & Skills

  • Degree qualified in Data Science, Food Science, Statistics, Mathematics, Chemical Engineering, Computer Science, or a related discipline.
  • Strong experience applying statistical modelling, predictive analytics, or machine learning within FMCG, food manufacturing, consumer goods, or a related technical industry.
  • Experience working with Design of Experiments (DoE), multivariate analysis, and data interpretation.
  • Knowledge of formulation science, ingredient functionality, process optimisation, or product development environments would be highly advantageous.
  • Experience using modelling and analytical tools such as Python, R, MATLAB, JMP, Minitab, or similar platforms.
  • Ability to manage complex datasets and translate findings into practical technical recommendations.
  • Strong communication skills with the ability to influence cross-functional stakeholders.
  • Experience working with external partners, suppliers, or academic institutions is beneficial.
  • Self-motivated with a proactive and solutions-focused mindset.

What’s on Offer

  • Opportunity to work on breakthrough innovation programmes within a globally recognised FMCG business.
  • Exposure to advanced technology, AI/ML applications, and cutting-edge product innovation projects.
  • Collaborative and highly technical innovation environment.
  • Long-term career development within a global organisation.
  • Competitive salary and benefits package.

Skills

apply blended learning apply for research funding apply research ethics and scientific integrity principles in research activities build recommender systems Business Analytics Business Intelligence collect ICT data communicate with a non-scientific audience Computational Biology Computer Simulation conduct research across disciplines create data models Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data visualisation software define data quality criteria deliver visual presentation of data demonstrate disciplinary expertise design database in the cloud design database scheme develop data processing applications develop professional network with researchers and scientists Digital Curation disseminate results to the scientific community draft scientific or academic papers and technical documentation empirical analysis establish data processes evaluate research activities execute analytical mathematical calculations Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes increase the impact of science on policy and society information categorisation Information Extraction integrate gender dimension in research integrate ICT data interact professionally in research and professional environments interpret current data LDAP LINQ make data-driven decisions manage data manage data collection systems manage findable accessible interoperable and reusable data manage ICT data architecture manage ICT data classification manage intellectual property rights manage open publications manage personal professional development manage research data Marketing Analytics mathematical modelling MDX mentor individuals multidisciplinary research N1QL normalise data online analytical processing operate open source software perform data cleansing perform data mining perform project management perform scientific research promote open innovation in research promote the participation of citizens in scientific and research activities promote the transfer of knowledge publish academic research quantitative analysis query languages report analysis results Research Design resource description framework query language Scientific Computing scientific literature Social Network Analysis SPARQL speak different languages State Estimation statistical modeling techniques Statistics synthesise information teach in academic or vocational contexts think abstractly Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques write scientific publications XQuery

Similar jobs

Suggested jobs

Eurojobs Support Assistant