Who We Are:
The 130 million UK Battery Industrialisation Centre (UKBIC) is a pioneering concept in the race to develop battery technology for the transition to a greener future. The unique facility provides the missing link between battery technology, which has proved promising at laboratory or prototype scale, and successful mass production. Based in Coventry, the publicly-funded battery product development facility welcomes manufacturers, entrepreneurs, researchers and educators, and can be accessed by any organisation with existing or new battery technology if that technology will bring green jobs and prosperity to the UK.
UKBIC is a key part of the Faraday Battery Challenge (FBC), a Government programme to fast track the development of cost-effective, high-performance, durable, safe, low-weight and recyclable batteries.
In this role the successful candidate will work alongside a small and growing team of Professional Engineers in new product development and industrialisation of Li-ion batteries and cells. Reporting to the EESE Lead this position will support the capture and analysis of data generated from the production and test of UKBIC baseline and customer products. As a data scientist the successful candidate will have a good knowledge of data extraction, analysis, reporting and visualisation tools.
The ideal candidate will be:
‘ Be able to work cross functionally,
‘ Contribute to issue resolution, root cause investigation, verification and validation activity,
‘ Participate in internal process meetings by playing a critical role in developing data led decision making.
‘ Manage and disseminate data to support project activities
‘ A key enabler towards Industry 4.0 (Digital Manufacturing and machine learning)
Key Performance Indicators
‘ Developing robust automated reporting and a user friendly interface for the live visualisation of Manufacturing and Test data.
‘ Establishing traceability in both directions between Data Reports to Product/Material.
‘ The development of user-friendly front-end tools for other business functions to inspect and extract relevant information such as for simulation, statistical modelling or data transfer to customers.
‘ Identify critical datasets leading to in an increase in manufacturing yield.
Key Accountabilities and Responsibilities
‘ Transforming raw data from multiple sources into information and dashboards which can be used to make critical business decisions.
‘ Liaise with engineers and senior management to identify potential concerns and root cause from data sets.
‘ Make recommendations that will facilitate the continuous improvement of manufacturing processes and systems from the analysis of big data that UKBIC will be generating.
‘ Promote a culture of data driven decision making.
‘ Provide inputs to other analysis tools in the business such as statistical modelling , cell performance and manufacturing process simulation.
‘ Determining trends between manufacturing data and cell performance in order to inform and teach in-line checks (such as defect definition and detection) and supplement other predictive tools.
‘ Determining trends between manufacturing data and failure events/issues both in product and in process. Failure can include quality non-conformance/not to specification, meeting product requirements or equipment failure and capability issues.
Knowledge, Skills and Experience
‘ Degree qualification in relevant Engineering or Science discipline (such as but not limited to Computer Science, Mathematics, Mechanical/Chemical Engineering, Physics,)
‘ Relevant industry experience where advanced analytics is demonstrated (Automotive & Motorsport, Battery or Semiconductor Manufacturing, Pharmaceuticals & Biomedical, Retail & Web, Finance)
‘ Excellent analytical and programming skills at various levels (e.g. Matlab, Python, SQL, C++) to support data extraction and analysis.
‘ Experience in using Data visualisation software such as Microsoft Power BI, Infor Birst.
‘ Excellent knowledge in Microsoft tools (Excel, Visual Basic, Access, Word, Powerpoint)
‘ Experience working in Cloud platforms.
‘ Advanced understanding of statistical methods.
Desirable but not Essential:
‘ Excellent understanding of System Engineering fundamentals and methods
‘ Basic understanding of lithium-ion cell chemistry, design construction and formats. Experience in the design and development within an industrial manufacturing setting, which can be transferred to Lithium-ion batteries
‘ Experience of systems modelling & requirements management e.g. Doors, Cognition Cockpit, SysML or UML
‘ Experience in Enterprise Resource planning (ERP) software (such as SAP, LN or similar) as well as Manufacturing Execution Systems (MES).
‘ Exposure to six sigma training.
‘ EXCELLENCE – We aim high and are never complacent, pushing ourselves to be better tomorrow than we are today; we work hard and are professional in everything we do
‘ DEVELOPING – We recognise talent and that we do not all work in the same way; we learn something new every day
‘ COHESIVENESS – We are encouraging, warm and considerate to others, taking time to build relationships.
‘ AGILITY – We are prepared to change direction when necessary, responding quickly to new evidence and requests
‘ POSITIVITY – We are enthusiastic and upbeat, with a can-do attitude and build people up
‘ INTEGRITY – We deliver on our promise; we are working for the good of UKBIC and to create a better future.