KTP Associate (Data Scientist) @ University of Essex

Job details

Job title: KTP Associate (Data Scientist)
Job reference: REQ00982
Application closing date: 19/11/2017
Location: Colchester
Salary: £26,750-£32,850 per annum
Employment type: Fixed-term, Full-time
Job category/type: Professional, Research, Technical
Job description: KNOWLEDGE TRANSFER PARTNERSHIPS (KTP)

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at: www.ktponline.org.uk

THE PROJECT

The University of Essex in partnership with MSX International offers an exciting opportunity for a graduate to lead the development of a predictive, self-learning model for automotive warranty expenditure with reference to a broad range of factors ranging from product quality to dealer and customer behaviour. This post is fixed term for 24 months and is based at the MSX International offices in Colchester.

DUTIES OF THE POST

The duties of the post will include:

* Researching and developing solutions in terms of algorithms and computational tools for the creation of a predictive, self-learning model for automotive warranty expenditure.
* Examine existing software and determines requirements for new/modified systems in the light of business needs (researching) + writes and codes individual programs according to specifications (develops).
* Being aware of any existing tools in the public domain via a full literature and state of the art review.
* Undertake feasibility study to design software solutions.
* Prepare reports and presentations with the aim to make any developments understandable to the industrial partner to help with the continuation, maintenance and build up on results.
* Write operational documentation and provides subsequent support and training for users.
* Embed all knowledge and upskill staff through training and documentation of processes.
* Write operational documentation and provides subsequent support and training for users.

KEY REQUIREMENTS

The post holder must have:

* BSc in Operational Research, Computer Science or a related discipline;
* Good theoretical and applied knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra, statistics and optimisation.

BENEFITS

As a KTP Associate, the post will offer the following benefits:

* Research Budgets: A personal development budget of GBP 4,000, travel budget of GBP 4,500 and consumables budget of GBP 4,500 (exclusive of salary).
* Management training and mentoring by an Innovate UK KTP Adviser.
* Potential to study a part fee-waived course via the university.
* An interesting and challenging role, with exposure to a variety of stakeholders.
* Full access to university resources to complete the project.
* World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

LOCATION

MSX International
27 Middleborough
Colchester
Essex
CO1 1TG

At the University of Essex internationalism 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 and a university where you can find the world in one place.

Please see the further detail link below for 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 telephone the Resourcing Team (01206 874588/873521).

Link to website: https://vacancies.essex.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=033228ExcL&WVID=9918109NEm&LANG=USA&utm_source=Indeed&utm_medium=organic&utm_campaign=Indeed