Technology Innovation Centre/KTP, Birmingham City University
graduate job
Expires28 days

Data Scientist / Machine Learning Engineer / Business Analyst

Still recruiting throughout COVID‑19

Job description

Vehicle Movement Exchange UK Ltd T/A Engineius and School of Computing and Business School at Birmingham City University’s (BCU) are looking to appoint a Digital Business & Data Analyst Knowledge Transfer Partnership (KTP Associate) with specialist expertise around developing intelligent software systems (integrating Machine learning techniques). Particular value will be placed on those candidates who have a strong background in Software Engineering , Data Science, Logistics & Transportation Management.

The Knowledge Transfer Partnership (KTP) Associate role presents a unique and exciting opportunity to work in collaboration with leading academics at BCU to apply knowledge and technical innovation. The KTP Associate should have graduated from a University within the last five years and hold at least an undergraduate degree in a relevant subject area.

Engineius' mission is to make vehicle movement easy. To do this, they designed and launched an "on-demand" service for moving vehicles across the UK. Since its launch, Engineius has acquired over 70 fleet customers across all major sectors, including Hertz, Sixt, Enterprise, Hitachi, Arval, British Gas, The AA, The RAC, Dennis Buyacar, BT Fleet, Jardine and Royal Mail.
This position forms part of the Knowledge Transfer Partnership (KTP) programme co-funding by a grant through Innovate UK. KTPs provide 1000+ high calibre jobs working with business across the UK and offer a wide range of benefits including access to a £4,000 Personal Development budget to upskill during the project - more information on KTP.

The successful graduate will be employed by Birmingham City University and will be based at the company in Alpha Tower in Birmingham (B1 1TT). They will be supported by academics from BCU's School of Computing and Business School. The position is for 24 months. The expected start date is as soon as is practical.

The Project
To provide a rapily growing SME in transportation management with a many-to-many (for example, taxis such as Uber use one-to-many) scalable solution for end-to-end vehicle movement and multi-route optimisation which will generate competitive advantage through innovation not matched by any competitor.

Key Objectives
  • Analysis of the current business model and the skills of the schedulers
  • Design Engineius Integrated Technology Platform (EITP) AI architecture
  • EITP development, testing and deployment
  • Assist the existing Engineius research and development team with the development of new Standard Operating Procedures (SOP's) and prototypes, as part of their new business development process.
  • Training Engineius staff and knowledge embedding
  • Manage in-house production of prototypes and products, as required.
  • Research novel applications of AI to solve optimisation problems in Transportation
  • Responsible for the operational management of the project.

Candidate Profile
The KTP Partnership is looking for a high calibre graduate to join a team in developing an Innovative, Intelligent Logistics/Transport Management System, providing specialist expertise, professional understanding and ensuring the successful oversight of a major new development project.

  • Hold a degree in Software Engineering, Data Engineering, Computer Science or related subject
  • Master’s candidates with a degree in Logistics Management, Transportation Management, Data Analysis, Operations Research or a related subject are also welcome
  • Relevant, practical hands-on, high degree of experience in modern Software Engineering and Data Engineering practices, along with expertise in developing and implementing Machine Learning / Artificial Intelligence based solutions.
  • A strong record of accomplishment of managing projects to successful completion.
  • An organised approach to work with the ability work on own initiative

Able to demonstrate

  • Strong knowledge and skills in developing systems for the intelligent optimisation of logistic/transportation processes.
  • Specialised knowledge of digital technologies, associated equipment, processes and techniques.
  • Strong communication skills with the ability to persuade, influence and negotiate and present effectively to all levels.
  • An organised approach to work with the ability to work on own initiative
  • Ability to prioritise different tasks efficiently.
The University is committed to internationalism and diversity and welcomes applications from all countries, faiths and backgrounds. It is each individual successful applicants responsibility to ensure that they have permission to work in the UK.

Some applicants may require sponsorship from the University and a visa from UKVI to take up the role if successful. More information on this can be found here.

Some roles are not capable of sponsorship because they do not meet the UKVI criteria relating to skill and salary level. If you are unsure as to whether you would require sponsorship if successful, or whether the role is capable of sponsorship, please contact us:

Please note on occasions where we receive a large number of applications, we may close the advert ahead of the publicised closing date. If this does happen, we will contact all candidates via email who have started but not yet completed their application, giving 48 hours’ notice. We would therefore advise that you submit your completed application as soon as possible.

What we are looking for

Accepted degree subjects

  • information science and librarianship
  • computer sciences

Additional job details


How to apply

Shortlisting: Monday 22 November

Interviews: week commencing 6 December

Click Apply to start your application now. This job will be available on Prospects until 21 November 2021

Don't forget to mention Prospects to employers when you contact them.

Closing date:  21 November 2021

Expires28 days

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