Data Scientist (Machine Learning Engineer) (KTP Associate), CSEE

University of Essex

United Kingdom

February 14, 2022


Job title

Data Scientist (Machine Learning Engineer) (KTP Associate), CSEE

Job reference


Application closing date





£34,100 - £45,250 per annum

Employment type

Fixed-term, Full-time

Job category/type



REQ05558 Jobpack.pdf

Job description

The School of Computer Science and Electronic Engineering


Knowledge Transfer Partnerships (KTPs) are government-funded collaborations between universities and businesses. In KTPs, academics and company representatives jointly supervise a KTP Associate who is based in the company, with the goal of improving their competitiveness and productivity. KTPs serve to make better use of the knowledge, technology and skills generated by universities, colleges and research organisations.

Further information is available at: www.


The University of Essex in partnership with Newcross Healthcare Solutions Ltd offers an exciting opportunity to use novel techniques in machine learning and game theory to develop an automated and intelligent staff-shift matching system to be deployed on Newcross' HealthforceGo app, enabling better fulfilment of the shifts offered by our care provider partners. This is a rare opportunity to join a company in the healthcare sector, which is going through a technical transformation which will see our applications scaling to a level that will allow millions of healthcare workers to benefit from the use of our system. For more information about Newcross Healthcare Solutions Ltd, check out page 8. In the job pack attached.

This KTP project will be recruiting two Associates, and the successful candidate for this position will work alongside a Data Scientist (Algorithm Engineer) to deliver the project. The Associates will be joining a team of 4 Developers, set within a broader Engineering and Product team of 30+.

It is anticipated that both Associates will need to develop some level of familiarity with the other's work in order to develop a cohesive and optimised system. They will be supervised and advised on the academic side by Dr David Richerby, Dr Maria Kyropoulou, Dr Panagiotis Kanellopoulos and Prof. Luca Citi.

This post is fixed term for 30 months and is based at Newcross Healthcare Solutions Ltd offices in London.


The duties of the post will include:

  • Liaising with professional services in the healthcare industry to understand the business requirements and rationale of the programme of work.
  • Understanding the wider strategy behind the project and how it will impact on the company.
  • Lead on delivery of the project work plan, ensuring knowledge and capability is embedded within the company.
  • Managing a complex project with multiple stakeholders, monitoring and reporting on progress and ensuring objectives are met.
  • Building and analysing predictive models to represent real life settings, e.g., to model healthcare experts' preferences with respect to the scheduling of shifts.
  • Contribute to the design of scheduling methods, for example by using machine learning techniques to design domain-specific heuristics for the scheduling algorithm.
  • Design and evaluation of machine learning algorithms.
  • Contribute to the down-streaming and adoption of new technology within Newcross.
  • A full list of duties can be found within the job pack attached.


  • BSc in Operational Research, Mathematics, Computer Science, Electronic Engineering, Biomedical Engineering or a related discipline
  • A higher degree in Operational Research, Mathematics, Computer Science, Electronic Engineering, Biomedical Engineering or a related discipline or equivalent qualification, or equivalent industry experience
  • Excellent knowledge of data science and machine learning methods
  • Excellent programming skills in Python (Object-Oriented Programming), with a good understanding of coding practices
  • Experience in frameworks like Numpy, SciPy, Pandas, SciKit-Learn and TensorFlow / PyTorch.
  • Excellent communication and interpersonal skills
  • Ability to write technical reports/papers

    Newcross Healthcare Limited

    48 Chancery Lane


    WC2A 1JF

    At the University of Essex, internationalism and diversity is central to who we are and what we do. We are committed to being a cosmopolitan, internationally oriented university that is welcoming to staff and students from all countries, faiths and backgrounds, where you can find the world in one place.

    To support this commitment we have our Global Forum, a staff-led network that promotes and celebrates the rich cultural diversity among Essex staff, and our Colchester campus based Faith Centre, which hosts regular services, meetings and events organised by our chaplains and faith representatives.

    Please see the attached job pack, which contains a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please contact

    More information: Working at the University

    About the employer

    Founded in the year 1964, the University of Essex is one of the leading universities located in England, the U.K. same year, 122 students enrolled themselves at the university, which grew up to nearly 1,00,000 during the subsequent 50 years....