At a Glance
- Tasks: Drive product innovation using advanced data science techniques and predictive analytics.
- Company: Leading international food manufacturer with a focus on innovation and technology.
- Benefits: Competitive salary, benefits package, and long-term career development opportunities.
- Other info: Collaborative environment with exposure to cutting-edge technology and global projects.
- Why this job: Join a dynamic team at the forefront of food science and AI-driven innovation.
- Qualifications: Degree in Data Science or related field; experience in statistical modelling and machine learning.
The predicted salary is between 60000 - 80000 € per year.
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.
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.
- 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.
Data Science Data Science Senior Data Scientist (Remote) employer: Protea Recruitment Ltd | Food | Drinks | FMCG Recruitment Partner
Join a leading international food manufacturer in Buckinghamshire as a Senior R&D Data Scientist, where you will be at the forefront of product innovation and sustainability. Enjoy a collaborative work culture that values technical expertise and offers extensive career development opportunities, all while working with advanced technologies in a globally recognised FMCG environment. With a competitive salary and benefits package, this role is perfect for those looking to make a meaningful impact in the food manufacturing sector.
Contact Detail:
Protea Recruitment Ltd | Food | Drinks | FMCG Recruitment Partner Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Science Data Science Senior Data Scientist (Remote)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend relevant events, and connect with professionals on LinkedIn. We can’t stress enough how important it is to build relationships that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your technical skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Showcase your projects! Whether it's through a portfolio or GitHub, let your work speak for itself. We love seeing candidates who can demonstrate their skills through real-world applications.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals to join our team!
We think you need these skills to ace Data Science Data Science Senior Data Scientist (Remote)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior R&D Data Scientist. Highlight your experience with predictive modelling, AI/ML applications, and any relevant projects in FMCG or food manufacturing. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science in the food industry and how you can contribute to our innovation goals. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your proficiency with tools like Python, R, or MATLAB. We’re looking for someone who can hit the ground running, so be specific about your experience with statistical modelling and data interpretation.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Protea Recruitment Ltd | Food | Drinks | FMCG Recruitment Partner
✨Know Your Data Science Tools
Make sure you’re well-versed in the modelling and analytical tools mentioned in the job description, like Python, R, or MATLAB. Be ready to discuss specific projects where you've applied these tools, as this will show your hands-on experience and technical capability.
✨Showcase Your Collaboration Skills
Since this role involves working closely with cross-functional teams, prepare examples that highlight your collaboration and communication skills. Think of times when you successfully influenced stakeholders or worked with external partners to achieve a common goal.
✨Prepare for Technical Questions
Expect to dive deep into statistical modelling, predictive analytics, and machine learning during the interview. Brush up on key concepts and be ready to explain how you’ve applied them in real-world scenarios, especially in FMCG or food manufacturing contexts.
✨Translate Complexity into Simplicity
Practice explaining complex data insights in a way that’s easy for non-technical stakeholders to understand. This skill is crucial for the role, so think of examples where you’ve successfully communicated technical findings to diverse audiences.
