Location : Butlers Farmhouse Cheeses Ltd (BFC), Wilson Fields Farm, Inglewhite, Preston, Lancashire, PR3 2LH
This role is an exciting opportunity for candidates qualified to MSc or PhD standard with a background in data science and some experience of carrying out practical research in a competitive business environment. Business experience and knowledge of supply chains, either through career or placement is desirable. The candidate should have a desire to work in business transformation, where technology and data can help improve strategic and operational practices in food manufacturing.
This KTP project aims to develop a Business Analytics and Machine Learning capability that will optimise the production of specialty cheeses. Decision Analysis and Modelling tools will focus on optimising milk yields and animal feed in the supply chain through to the cheese manufacturing processes.
The KTP will review the entire supply chain for BFC and using the extensive raw data available from Farm to Customer to improve:
• Efficiency of the processes
• Yield from animal feed to the finished product
• Codify the tacit knowledge in the business
• Consistency of processes and products
Candidate Profile: Qualified to MSc or PhD standard with a background in data science and experience of carrying out practical research, conducted preferably in a business environment.
Key skills/ experience required include:
- Basic understanding of supply chain components and general KPIs, especially in the context of agriculture
- Data Extraction, and Manipulation skills (the data are available in various formats, mainly in spreadsheets, and needs unification)
- Cross-sectional data analysis skills (visual exploratory data analysis, association measurements beyond Pearson's, statistical tests)
- Basic understanding of designing and implementing RDBMSs
- Time-series analysis and forecasting especially on demand (knowledge a wide range of models from AR(F)IMA family to RNN/LSTM)
- Machine learning for predictive modelling on both time-series and cross-sectional data
- Mathematical programming(optimization) knowledge and skills (at least LP/IP)
- Excellent verbal and written communication skills.
- Work independently on own initiative as and when required.
- Self-motivated & confident with good persuasion & negotiation skills.
- Work collaboratively with a range of stakeholders in a multidisciplinary project team.
- Credibility to ask questions and constructively challenge.
- Fit in with the organisational culture and present a positive image of the company to clients and suppliers.
- Up to £4000 for personal and professional development for the duration of the project
- Based on performance financial incentives by will be considered annually by the Company
- Working with a supportive academic team of three experts in agriculture supply chain and data science to help you embark on the tasks especially at the initiation phase
- Working with a successful farm-to-fork agriculture factory, a niche and high-demand domain of expertise for data scientists
- Producing academic publications that pave your way to R&Ds in industry or academic positions
This is a Knowledge Transfer Partnership (KTP) funded by Butlers Farmhouse Cheeses Ltd and Innovate UK. It is essential you understand how KTP works and the vital role you will play if you secure this position.
The Company: Butlers Farmhouse Cheeses Ltd (BFC) is a fourth-generation, family-owned business manufacturing a range of cheeses for retail and direct sales. The majority of the milk used (approx. 90%) in the cheese making process comes from the fields that surround the dairy, many of which are farmed by extended family (approx. 70% of all milk used). This results in a very short supply-chain and potentially a high level of control over milk quality. The milk is collected in the morning and is at the dairy before lunch. It then goes straight into the pasteuriser and into the vats being made into cheese before the day is out. The close relationships with their supply chain is key to the business success, and distinguishes them from their competitors.
Our client: You will work in a project team with Dr Jiabin Luo, Lecturer in Business Analytics, Dr Shahin Ashkiani, Teaching Fellow Business Analytics, Dr Eliseo Vilalta-Perdomo, Senior Teaching Fellow in Service Operations Management, and Professor Ali Emrouznejad at our client, plus the Senior Management Team at Butlers Farmhouse Cheeses Ltd with the support of the IUK's Knowledge Transfer Adviser.
Location: You will be based predominantly at Butlers Farmhouse Cheeses Ltd in Preston, Lancashire, but will also have access to facilities at our client in central Birmingham. Some travel to key clients may also be required.
For informal enquiries about this role please contact Dr Jiabin Luo, Lecturer in Business Analytics.
Our client is an equal opportunities employer and welcomes applications from all sections of the community. It promotes equality and diversity in all aspects of its work. They are committed to the principles of the Athena SWAN Charter, recognised by a silver award, and they are a Disability Confident Employer Level 2. They strive to have robust inclusivity strategies in place, including race and sexual orientation, to encourage colleagues to have the confidence and freedom to be themselves in the workplace.
As users of the disability confident scheme, they guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy.
If you require the job details document or an application form in an alternative format please contact the recruitment team