Senior Data & Modelling Scientist
Senior Data & Modelling Scientist

Senior Data & Modelling Scientist

Full-Time 55000 - 65000 £ / year (est.) No home office possible
pladis Global

At a Glance

  • Tasks: Build analytical tools and models to accelerate product innovation in snacking.
  • Company: Join pladis, a dynamic hub of creativity and science in the snacking industry.
  • Benefits: Enjoy competitive bonuses, health plans, and enhanced parental leave.
  • Other info: Work in a collaborative environment with excellent career growth opportunities.
  • Why this job: Make a real impact on sustainable snack innovation with cutting-edge technology.
  • Qualifications: Strong technical skills in data modelling and collaboration across teams.

The predicted salary is between 55000 - 65000 £ per year.

Our Hectar Laing Development Centre site is the beating heart of innovation at pladis, a dynamic hub where creativity, science, and consumer insight come together to shape the future of snacking. Home to our Innovation, R&D, Regulatory, and Technical Insights teams, this site supports both pladis Global and UK&I, driving progress across our sweet and savoury portfolios. With a state-of-the-art pilot plant and a culture of collaboration, High Wycombe is our centre of excellence for research and development. From the first spark of an idea to the final product on shelf, our teams work side by side to deliver exciting, high-quality snacks that delight consumers everywhere. It’s a place where every voice matters, and every innovation is powered by the passion and expertise of our people.

This is a critical role responsible for building analytical tools and models that translate technical results into innovative and sustainable systems that help to accelerate the idea to product process. This role will work closely with peers in the global Innovation & Technology team to ensure an agile flow of information from insights to industrial relevant outcomes. This role sits in the Global Innovation and Technology Team under the Breakthrough Product Director to ensure direct translation of opportunities against an ambitious and transformational breakthrough innovation strategy that is aligned to the growth ambition and sustainability aspirations of the company.

The role requires an individual who is competent and skilled at working across cultures and functions and collaborating to deliver with others. They need to be able to work effectively with external partners to identify appropriate opportunities and drive development of innovative solutions, best practice approaches and systems.

Key areas of focus for the role:
  • Development and application of advanced modelling, statistical methods to accelerate product innovation.
  • Improve ingredient and formulation understanding.
  • Own design of experiments, predictive models, and learning cycles.
  • Drive data governance, data quality, and modelling infrastructure.
  • Ensure insights translate into faster, smarter technical decision-making.
  • Develop solutions to technical hurdles.
What will be your key deliverables?

Specifically on Innovation and Technology Data Modelling, we need to:

  • Define and deliver a medium to long term roadmap and align an agenda to drive innovation sustainability and productivity – build the internal cross-functional expertise and relationships to deliver that agenda.
  • Support the Global Procurement team as we build strong and mid-term Sourcing Strategies.
  • Build strong collaborative relationships with Suppliers to capture the best practices on the market and monitor project implementation.

The role will report to the Global R&D Head of Cocoa Innovation. It is expected that the incumbent will work very closely with their counterparts across the Central Innovation & Technology team to effectively deliver the joint growth and transformation agenda and sustainability deliverables.

Principal Accountabilities:
  • Build and apply predictive models to understand ingredient interactions, product functionality, and clean-label substitution pathways—addressing rising consumer demand for healthier and sustainable products.
  • Develop formulation optimization models that reduce physical experimentation and accelerate R&D cycle time.
  • Partner with product developers to translate modelling outputs into actionable formulation and processing guidance.
  • Develop machine learning models for forecasting, optimization, and scenario simulation across the Innovation and Technology breakthrough programs.
  • Lead application of AI/ML tools in areas such as product and process prediction with primary focus in Cocoa and Chocolate.
  • Guide teams on appropriate model governance, validation, and robustness.
  • Design experiments (DoE) and multivariate studies to generate high-value datasets for modelling and scientific discovery.
  • Build hybrid mechanistic + data-driven models to support shelf-life prediction, process optimization, and stability studies.
  • Translate complex modelling outputs into visual, decision-ready insights for technical and non-technical audiences.
  • Collaborate with external partners (universities, tech providers, suppliers) to bring in cutting-edge modelling capabilities.
Bring your experience:

Excellent core technical skills and be able to understand the needs of the business, to create exciting data and modelling technology agenda. The individual will be a self-starter and possess a drive for results.

What will the interview process be?

Initial Telephone call with Talent Acquisition, 1st stage interview – 45 minutes competency-based interview based on our company values and your experiences, 2nd stage interview – 60 minutes – a technical interview to understand your skill set/case study or presentation interview, Final interview based on Leadership Success Model Assessment/role competencies. Pladis does also use both Psychometric and Aptitude tests to support our processes so you may be asked to complete these as part of your process. Some processes may differ, but we will keep you updated!

What does pladis offer you?

Annual Incentive Plan (AIP) – this is the business’s annual bonus scheme. Opportunity to self-enrol into Health Cash Plan. Private medical Insurance (if eligible). Enhanced parental leave and a supportive phased return-to-work program to help colleagues balance family and career. Life Assurance Cover upon enrolment to Stakeholder Pension Scheme.

Senior Data & Modelling Scientist employer: pladis Global

At pladis, we pride ourselves on being an exceptional employer, particularly at our Hectar Laing Development Centre in High Wycombe, where innovation thrives. Our collaborative work culture fosters creativity and inclusivity, empowering employees to contribute meaningfully to the future of snacking while enjoying comprehensive benefits like private medical insurance and enhanced parental leave. With a strong focus on professional growth and sustainability, we offer unique opportunities for our team members to develop cutting-edge solutions that resonate with consumer demands.
pladis Global

Contact Detail:

pladis Global Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data & Modelling Scientist

✨Tip Number 1

Network like a pro! Reach out to current employees at pladis on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Prepare for those interviews! Research common questions for data and modelling roles, and practice your responses. We want you to shine when discussing your technical skills and how they align with pladis' innovation goals.

✨Tip Number 3

Showcase your projects! Bring examples of your previous work that demonstrate your analytical skills and innovative thinking. This is your chance to impress them with real-world applications of your expertise.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the pladis team.

We think you need these skills to ace Senior Data & Modelling Scientist

Advanced Modelling
Statistical Methods
Predictive Modelling
Design of Experiments (DoE)
Data Governance
Data Quality Management
Machine Learning
AI/ML Tools Application
Formulation Optimization
Collaboration Skills
Technical Communication
Cross-Functional Teamwork
Problem-Solving Skills
Innovation Strategy Development
Sustainability Focus

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data modelling and innovation. We want to see how your skills align with our goals at pladis, so don’t hold back on showcasing relevant projects!

Showcase Your Technical Skills: When applying, emphasise your core technical skills and any experience with predictive models or machine learning. We’re looking for someone who can hit the ground running, so let us know what tools you’ve mastered!

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to explain your achievements and how they relate to the role. We appreciate a well-structured application that’s easy to read!

Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure it gets into the right hands. Plus, you’ll find all the details you need about the role there.

How to prepare for a job interview at pladis Global

✨Know Your Modelling Inside Out

Make sure you’re well-versed in the advanced modelling and statistical methods mentioned in the job description. Be ready to discuss specific examples of how you've applied these techniques in past roles, especially in relation to product innovation and sustainability.

✨Showcase Your Collaborative Spirit

This role emphasises collaboration across cultures and functions. Prepare to share experiences where you successfully worked with diverse teams or external partners. Highlight your ability to build relationships and drive projects forward together.

✨Prepare for Technical Questions

Expect a technical interview that dives deep into your skill set. Brush up on predictive models, machine learning applications, and design of experiments. Practise explaining complex concepts in simple terms, as you’ll need to communicate effectively with both technical and non-technical audiences.

✨Align with Company Values

Familiarise yourself with pladis' values and how they align with your own. During the competency-based interview, be prepared to demonstrate how your personal experiences reflect these values, particularly in driving innovation and achieving results.

Senior Data & Modelling Scientist
pladis Global

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