Senior Data & Modelling Scientist in High Wycombe
Senior Data & Modelling Scientist

Senior Data & Modelling Scientist in High Wycombe

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

At a Glance

  • Tasks: Build predictive models and analytical tools to drive product innovation in snacking.
  • Company: Join pladis, a dynamic hub for creativity and science in the snacking industry.
  • Benefits: Enjoy competitive salary, health plans, flexible working, and generous leave policies.
  • Other info: Be part of a diverse team that values every voice and fresh ideas.
  • Why this job: Make a real impact on sustainable snacking solutions while collaborating with global teams.
  • Qualifications: Strong technical skills in data modelling and a passion for innovation.

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.

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.

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.
  • 25 days + bank holidays.
  • 1 Volunteering Day per year.
  • Cycle to work scheme.
  • Discount and Cashback Scheme – make your everyday spending work hard for you on major high street brands, supermarkets and services.
  • Access to Employee Assistance Programme.
  • Financial Wellbeing Support.
  • Access to great training and development opportunities.
Our Values:
  • Purpose led – We’re energised and guided by our purpose to bring happiness with every bite.
  • Agile – We’re ever evolving, we never stand still, always improving for our customers and our consumers.
  • Positive – We’re highly motivated, optimistic, courageous, and we inspire each other to be better.
  • Resilient - We’re persistent in the face of setbacks, quick to adapt, learn and move forward.
  • Collaborative – We gain strength from operating as one pladis, winning and succeeding together.

pladis is an equal opportunities employer, like every great recipe we’re a thoughtful mix. A happy and inclusive place to work that’s as diverse as our consumers and the communities we support, live and work in, all around the world. Where every voice is heard, and difference is celebrated. Where fresh perspectives and new ideas help us grow and thrive.

Accessibility at High Wycombe: Our High Wycombe site has accessible entrances and lifts between floors to support individuals with mobility needs, but currently does not have step-free access. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to receive other benefits and privileges of employment, and where possible to perform key job functions.

pladis is an Equal Opportunity Employer, committed to hiring a diverse workforce. All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion or any other classification protected by law.

We operate a strict Preferred Supplier List. If you are a recruitment agency and wish to submit candidates to be considered for this vacancy, you must have agreed to, and signed, our terms of business. We will not accept CVs from any other sources other than those currently on our PSL. We will not pay a fee for any candidate that has not been represented by a provider on our PSL.

Senior Data & Modelling Scientist in High Wycombe employer: pladis Global

At pladis, we pride ourselves on being an exceptional employer, particularly at our High Wycombe site, where innovation and collaboration thrive. Our commitment to employee growth is evident through extensive training opportunities, a supportive work culture that values every voice, and a range of benefits including private medical insurance and enhanced parental leave. Join us in shaping the future of snacking while enjoying a workplace that celebrates diversity and fosters creativity.
pladis Global

Contact Detail:

pladis Global Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those at pladis. A friendly chat can open doors and give you insights that a job description just can't.

✨Tip Number 2

Prepare for your interviews by practising common questions and showcasing your technical skills. Remember, they want to see how you think and solve problems, so be ready to share your thought process!

✨Tip Number 3

Showcase your passion for innovation and sustainability during interviews. Talk about projects you've worked on that align with pladis' values, and how you can contribute to their mission of creating exciting snacks.

✨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 in High Wycombe

Advanced Modelling
Statistical Methods
Predictive Modelling
Design of Experiments (DoE)
Machine Learning
Data Governance
Data Quality
Formulation Optimization
Collaboration Skills
Technical Communication
Problem-Solving Skills
Cross-Functional Teamwork
Visualisation of Data Insights
Agility in Innovation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data & Modelling Scientist role. Highlight relevant experience and skills that align with the job description, especially in data modelling and predictive analytics.

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about innovation in snacking and how your background makes you a perfect fit for our team at pladis.

Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention specific tools and methodologies you've used in data modelling and AI/ML, as these are key to the role.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss any important updates from us!

How to prepare for a job interview at pladis Global

✨Know Your Modelling Inside Out

Make sure you brush up on your advanced modelling and statistical methods. Be ready to discuss how you've applied these in past projects, especially in relation to product innovation and formulation optimisation.

✨Showcase Your Collaborative Spirit

This role is all about teamwork! Prepare examples of how you've successfully collaborated with cross-functional teams or external partners. Highlight your ability to communicate complex ideas clearly to both technical and non-technical audiences.

✨Prepare for Technical Questions

Expect a deep dive into your technical skills during the second stage interview. Review key concepts related to AI/ML tools, predictive modelling, and design of experiments. Practise explaining these concepts as if you're teaching someone else.

✨Align with Company Values

Familiarise yourself with pladis' values: purpose-led, agile, positive, resilient, and collaborative. Think of specific instances from your experience that demonstrate these values, as they will likely come up during the competency-based interview.

Senior Data & Modelling Scientist in High Wycombe
pladis Global
Location: High Wycombe

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