R&D Processing Assistant Engineer

PepsiCo

Leicester

Presencial

GBP 45.000 - 65.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Descripción de la vacante

PepsiCo Leicester seeks a Process Engineer to drive flavor and seasoning process development from bench to pilot and manufacture-scale validation. You will lead trial planning, coordinate resources, and transform data into actionable insights to support productivity and innovation.

Joining the Flavor & Seasoning Process Team, you will collaborate with external partners and ensure safe, compliant operations across laboratory and pilot facilities while advancing process capability for future

Formación

  • 2 years’ experience in an engineering or R&D/technology development role.
  • Experience in process scale-up and hypothesis testing.
  • Analytical skills to interpret data and derive conclusions.
  • Familiarity with plant operations, bench to pilot scale.
  • Ability to manage trials and budgets.

Responsabilidades

  • Lead and execute process development workstreams from bench to pilot and manufacturing scales.
  • Lead trial planning, coordinating resources to maximize learning.
  • Design, execute and report experiments, transforming data into insights.
  • Identify solutions for pilot plant-scale processes toward full-scale manufacturing.
  • Collaborate with external partners such as universities and vendors.
  • Support supervision of associates and project budget management.
  • Uphold food safety and safe systems of work.

Conocimientos

Process engineering
R&D / technology development
Project management
Data analysis
Hypothesis testing

Educación

Bachelor's or Master’s in Chemical/Process Engineering or Mechanical Engineering

Descripción del empleo

Overview

The Flavor & Seasoning Process Team is responsible for delivering innovation for flavor & seasoning application technology globally within PepsiCo, to enable future business growth, PEP+ goals, and to produce technical developments to support productivity programs.

This main purpose of this role is to execute projects and workstreams delivering technical unlocks to support the above agenda through experimentation at bench and pilot through to validation at factory scale

This includes managing and coordinating trial activity, and delivering new process capability into both PepsiCo research facilities and manufacturing supply chain.

Responsibilities
  • Lead and execute specific process development workstreams from bench to pilot and manufacturing scales
  • Lead and execute trial planning, coordinating resources to maximize learning between product and process-led trials
  • Support generation of hypotheses and conduct experiments. Plan, design, execute and report statistically-sound experiments in a precise and timely manner to generate and test new hypotheses. Transform data and information into meaningful insights to drive innovation
  • Identify and develop solutions to technical obstacles that secure a robust, workable pilot plant-scale process with line of sight to full scale manufacturing
  • Work with external partners e.g., strategic vendors, Universities, Consultants, Co-manufactures, Open Innovation Partners and External R&D companies to develop technical solutions
  • Some supervision of other PepsiCo associates may be required (e.g. for pilot or commercial-scale trials)
  • Engineering project management and some R&D project budget management are required
  • Responsible for developing and following safe systems of work, and maintaining food safety standards, including when working in laboratory and pilot plant facilities
Qualifications
  • Bachelors or Master’s degree in Chemical/Process Engineering or Mechanical Engineering, or a closely related subject (e.g., Biochemical engineering, Food engineering)
  • 2 years’ experience in an engineering or R&D / technology development role
  • Relevant project management experience, ideally covering product or process development
  • Analytical skills to interpret complex data and distil into meaningful information and conclusions e g., interpreting process data, experimental design and statistical inference.
  • Understanding of scale-up science, both theoretical and practical, and related hypothesis testing and experimental design, to drive sound experimental proposals
  • Experience of plant operations highly desirable (can be factory or pilot scale)
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