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Operational Research Specialist, Parts EME

Date: Jun 26, 2022

Location: Stoneleigh, ENG, GB

Company: AGCO

Making a difference.  That's what a career at AGCO is all about. At AGCO you have a voice and the opportunity to impact our long-term success, as well as your own


 AGCO is a global leader focused on the design, manufacture and distribution of agricultural machinery and infrastructure. AGCO supports more productive farming through a full line of tractors, combines, hay tools, sprayers, forage equipment, tillage, implements, grain storage and protein production systems, as well as related replacement parts. AGCO products are sold through five core brands, Challenger®, Fendt®, GSI®, Massey Ferguson® and Valtra® and are distributed globally through 3,150 independent dealers and distributors in more than 140 countries worldwide. Our diverse product line, global reach and technological solutions help our customers not only survive today’s changing landscape, but to also prosper. Visit for more information. 


Operational Research Specialist / Data Scientist

Stoneleigh, Warwickshire

Hybrid working options



Our Supply Chain team is looking for an enthusiastic operational research/data scientist professional with a strong mathematical background. The successful candidate should be capable of undertaking independent investigation and develop techniques for process improvement. The successful candidate will also have experience in understanding business needs and translating them into an operation research hypothesis/data-science problem.


This role is responsible for the end-to-end implementation of analytical use cases to support EME and Global initiatives with data driven insights. The successful candidate will work on a mix of long and short term projects which span data exploration and insight extraction, operational process improvement, and research focused goals.


The Data Science team will investigate routes of strategic supply chain improvement, such as through the introduction and testing of novel intermittent demand forecasting techniques, inventory optimization, and supply network optimization. The team is also responsible for the continued support and development of a suite of in-house process automation tools being used to help meet operational goals within the company including order plan post processing, and inventory target optimization.


Key Responsibilities


- Develop a solid understanding of the business and the different supply chain functions in order to be able to form and solve relevant analytical problems

- Collaborate closely with business stakeholders for gathering of business requirements and translating them into analytical problems that can be resolved by leveraging statistics, machine learning, time series analysis, operational research and business analysis

- Identify relevant data sources and assess data quality

- Implement proof of concept studies and end-to-end analytical use cases: data preparation, data exploration, statistical analysis and machine learning modeling, model deployment, visualization

- Present analytical results and actionable recommendations to stakeholders and the business

- Support the identification and implementation of new strategic technologies and tools for visualisation and advanced analytics



- Master's degree in mathematics, physics, statistics, economics or comparable field, PhD preferred

- Practical experience in an analytical/data science role applying multivariate statistical methods, machine learning algorithms, or time series forecasting

- Proficiency in coding using mathematical and statistical libraries (e.g. Python) and data querying language (e.g. SQL) - Practical experience applying statistical and machine learning models to data

- Experience presenting data in Tableau or similar data visualization tools

- Proven ability to communicate technical concepts to non-expert audiences

- Team player in an international team with strong business focus

- Excellent communication and presentation skills in English


We offer the following benefits:


  • Basic salary: Competitive

  • A company performance / Individual performance related bonus (7%)

  • Defined Contribution Pension Scheme (The company contributes up to 10% for a 5% employee contributions)

  • Life assurance and critical illness cover for Pension members

  • 26 days holidays + statutory holidays

  • Holiday trading

  • Retail discount portal

  • Confidential Employee Assistance Programme for employees and their immediate family

  • On-site parking

  • On-site restaurant 


Employee development and growth is part of our company culture. If you are looking for an opportunity to work in an inspiring multinational environment for a leading global player of agricultural solutions, we look forward to receiving your application!

Job Segment: Research Scientist, Machinist, Supply Chain, Agronomy, Science, Manufacturing, Research, Operations, Agriculture