Data Scientist in Financial/Insurance Modelling Engineer

Found in: beBee jobs GB - 2 weeks ago

Surrey, United Kingdom University of Essex Full time

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:

THE PROJECT

The University of Essex, in partnership with Ticker Ltd, offers an exciting opportunity to a graduate with the relevant skills and knowledge to revolutionise the collection and utilisation of driver performance behaviour data through the application of leading-edge algorithmic and artificial intelligence approaches.

This post is fixed term for 24 months and is a remote first role.

Please note that as part of the recruitment process, candidates will need to submit a satisfactory report from completing the Ticker Data Science Technical Test.

Previous applicants need not apply.

DUTIES OF THE POST

The duties of the post will include:

  • Developing a novel scoring algorithm(s) to optimise the identification of different types of driver behaviour, specifically those with increased risk
  • Identifying external datasets to complement the data from Ticker Ltd. Performing data fusion on these disparate datasets
  • Deploying and testing the developed algorithm(s) on Ticker's extensive historical dataset
  • Applying state-of-the-art (SOTA) machine learning approaches
  • Contributing to publications and/or conference papers for the School of Computer Science and Electronic Engineering and Ticker Ltd
  • Participating in academic and/or industrial conferences and other events to disseminate and present research outcomes to the wider community
  • Aiding in embedding these insights into the systems of Ticker Ltd and helping upskill company staff
  • Managing computing resources for deployment and testing purposes
  • Communicating clearly and concisely with a range of technical and non-technical stakeholders, both internally and externally, with an understanding of pitching technical information to meet the varying needs and understanding of different stakeholders

These duties are a guide to the work that the post holder will initially be required to undertake. They may be changed from time to time to meet changing circumstances.

KEY REQUIREMENTS

  • BSc in Computer Science, Economics, Mathematics, or a related discipline.
  • PhD in Computer Science, Data Science, Economics, Mathematics, or a related discipline is preferred. Candidates currently pursuing a PhD or those with an MSc (accompanied by significant experience in Data Science/Analytics, data wrangling/interrogation) will also be considered.
  • 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.
  • Understanding/experience of modern software development practices.
  • A solid mathematical background.
  • Ability to understand and follow current regulations and compliance.
  • Ability to help us surface the challenges we may face in bringing this project to life.
  • Ability to measure own output and identify potential objectives and key results required at each stage.
  • Excellent communication and interpersonal skills.

Please use the 'Apply' button to read further information about this role including the full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role. You will also find details of how to make your application here. Our website contains more information about the University of Essex. If you have a disability and would like information in a different format, please email

£40,000 to £45,000 per annum

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