Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Manage a strategic project, design knowledge graphs, and develop risk assessment models.
- Company: Join rradar, a £25m legal services group transforming risk management with innovative technology.
- Benefits: Enjoy a competitive salary, training package, and the chance to work in a dynamic team.
- Why this job: Shape your career while making a real impact in both academia and industry.
- Qualifications: PhD in relevant fields and programming skills in Java or Python required.
- Other info: Opportunity for hands-on experience in a Knowledge Transfer Partnership.
The predicted salary is between 31000 - 39000 £ per year.
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 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. Enquiries on KTP can be made. Salary: £37,000 to £39,000 per annum + £2,000 training package per annum.
Data Scientist (Knowledge Transfer Partnership) employer: Professor Doctor Obi
Contact Detail:
Professor Doctor Obi Recruiting Team
rh122@leicester.ac.uk
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Knowledge Transfer Partnership)
✨Tip Number 1
Familiarise yourself with the specific technologies and methodologies mentioned in the job description, such as knowledge graphs and semantic web technologies. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field of data science and knowledge transfer partnerships. Attend relevant meetups or webinars where you can connect with current employees at rradar or similar companies, as personal connections can often lead to job opportunities.
✨Tip Number 3
Prepare to discuss your project management experience in detail. Since the role involves managing a strategic project, be ready to share examples of how you've successfully led projects from initiation to completion, highlighting your ability to meet deadlines and quality standards.
✨Tip Number 4
Showcase your enthusiasm for continuous learning and experimentation in data science. Be prepared to discuss any personal projects or research you've undertaken that demonstrate your passion for knowledge management systems and machine learning, as this aligns closely with the role's requirements.
We think you need these skills to ace Data Scientist (Knowledge Transfer Partnership)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your programming skills in Java and/or Python, as well as your experience with knowledge representation and machine learning techniques. Use specific examples to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of KTPs and how your background aligns with the responsibilities outlined in the job description.
Showcase Relevant Projects: If you have managed projects related to data science or knowledge graphs, be sure to include these in your application. Detail your role, the challenges faced, and the outcomes achieved to illustrate your project management skills.
Highlight Communication Skills: Since the role involves engaging with various stakeholders, emphasise your ability to communicate complex technical concepts clearly. Provide examples of how you've successfully collaborated with diverse teams in the past.
How to prepare for a job interview at Professor Doctor Obi
✨Showcase Your Programming Skills
Make sure to highlight your proficiency in Java and/or Python during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your technical capabilities and relevance to the role.
✨Demonstrate Knowledge Representation Understanding
Since the role involves knowledge graphs and semantic web technologies, be ready to explain your understanding of these concepts. Discuss any relevant experience you have with knowledge representation and how it can be applied in a practical setting.
✨Project Management Experience
The position requires managing strategic projects, so be prepared to share examples of past projects you've led. Focus on how you ensured deadlines, budgets, and quality standards were met, showcasing your project management skills.
✨Engage with Stakeholders
Communication is key in this role. Prepare to discuss how you've effectively communicated complex technical information to non-technical stakeholders in the past. This will show your ability to bridge the gap between technical and non-technical teams.
