Data Scientist (Knowledge Transfer Partnership)

About the role

Join Us as a Data Scientist in a Unique Knowledge Transfer Partnership!

Are you an ambitious Data Scientist with strong programming skills in Java and/or Python? Do you have a passion for knowledge representation, such as knowledge graphs and semantic web technologies? If so, we have an exciting opportunity for you!

About rradar

rradar (www.rradar.com) is a £25m turnover legal services group providing insurance companies' clients with risk management services. With 265 employees, rradar is continually growing across key strategic office locations - Hull, Leeds, Birmingham, Manchester, Glasgow, and Leicester where you will be based. The company offers a technology-driven, preventative educational strategy that makes the law more accessible and affordable, supporting people to run better businesses. rradar comprises a diverse team of experts in law, education, technology, and content, driven by imagination and innovation. By integrating smart technology into legal services, rradar is transforming risk management with tools like rradargrace, rradarstation, and rradarreport.

About Knowledge Transfer Partnerships (KTPs)

For 50 years, KTPs have been helping businesses innovate for growth by connecting enterprises with the expertise to help deliver their innovation ideas. A KTP could be the perfect launchpad for your career, helping you manage a challenging project central to an enterprise’s strategic development and long-term growth. You’ll ‘own’ your project, linked to both a university and an enterprise whose experienced teams will provide you with full support. This is a chance to deliver impact and shape your career, opening doors within both academia and industry.

Main Duties and Responsibilities

Impact and Knowledge Exchange: Manage a key, strategic project within rradar Ltd ensuring that all defined targets and outputs are met within the timeframe. Facilitate the transfer of knowledge between the University of Leicester and rradar Ltd. Engage with other employees and engineers to ensure that the knowledge transferred is properly embedded and exploited.

Research and Innovation: Design and implement models for a knowledge graph as part of an R&D team. Research methods and techniques for populating the knowledge graph. Develop models or algorithms to facilitate risk identification and assessment. Evaluate and verify the accuracy and effectiveness of the model and associated methodologies. Design and implement a proof-of-concept prototype to demonstrate the capabilities of the proposed system.

About you

Qualifications, Knowledge and Experience

• PhD in Computer Science, Data Science, Mathematics, Engineering or similar
• Programming proficiency in Java, (or Python)
• Good understanding of ML techniques and algorithms
• Good understanding of knowledge representation and graph models
• Demonstrated experience in managing projects from initiation to completion, ensuring deadlines, budgets, and quality standards are met

Skills, Abilities and Competencies

• Proactive and self-motivated, with the ability to work independently and take initiative
• Project management skills and business acumen.
• Machine Learning techniques.
• Proficiency in Python or Java programming.
• Ability to communicate with a range of stakeholders with different levels of technical knowledge.
• Can demonstrate a deep enthusiasm for learning and experimenting with knowledge management systems/ data science and machine learning.
• Good understanding of object-oriented design principles.
• Able to present data in an easy-to-understand format which can be used to gain deeper insights into the topic of enquiry

Additional information

Informal enquiries can be made to Professor Reiko Heckel on rh122@leicester.ac.uk.

Enquiries on KTP can be made ktp@le.ac.uk

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