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- Tasks: Lead the development of a Rural Crime Information Platform using AI and geospatial analytics.
- Company: Join a forward-thinking organisation focused on agriculture and environmental solutions.
- Benefits: Gain hands-on experience, mentorship, and opportunities for professional growth.
- Why this job: Make a real impact in rural communities while working with cutting-edge technology.
- Qualifications: Postgraduate degree in a quantitative field and strong Python skills required.
- Other info: Enjoy a dynamic role with autonomy and support in a collaborative environment.
The predicted salary is between 30000 - 40000 £ per year.
This role will lead the technical development of a Rural Crime Information Platform, integrating social media intelligence, large language models (LLMs), geospatial analytics, and behavioural science to generate actionable insights for rural communities, insurers, and stakeholders. The postholder will design and implement end-to-end data pipelines, develop AI models to extract structured intelligence from unstructured social media data, build spatial risk models, and translate these outputs into a secure, user-facing web application. The role blends data engineering, applied AI, geostatistics and socio‑behavioural modelling, supported by academic supervision and commercial mentoring. This is a high‑impact, technically ambitious role at the interface of research and product development. The role will require significant autonomy and responsibility, and the postholder will be expected to operate with a high degree of technical independence while being supported through structured training and governance.
Key Responsibilities
- The KTP Associate will work closely with farmers, insurers, and rural stakeholders to ensure the platform is grounded in real world needs and delivers meaningful value.
- By incorporating behavioural and criminological insights and leading participatory design activities, they will help shape a system that is practical, trusted, and easy to use.
- They will also maintain high quality documentation, contribute to academic and technical outputs, and support commercialisation and deployment activities as the platform moves from research into field testing and real‑world application.
Technical Skills, Qualifications & Attributes
- Candidates should hold a postgraduate degree in a quantitative or computational field and have strong Python skills.
- Experience with AI or NLP methods, including LLMs cloud platforms, containerisation, APIs, relational databases and data pipelines is essential.
- Skills in geospatial analysis, GIS tools, frontend development or data visualisation are advantageous, as is familiarity with user‑centred or behavioural research.
- The role requires analytical strength, clear communication across disciplines, and the ability to tackle open‑ended technical challenges with independence and creativity.
Due to Baseline Personnel Security Standard (BPSS) requirements, we can only consider applicants who hold existing Right to Work status in the UK. Proof of RTW will be required prior to any offer being confirmed.
Applied Data Scientist in AI & Geospatial Intelligence (KTP Associate) (RO-2102) employer: Harper Adams University
Contact Detail:
Harper Adams University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist in AI & Geospatial Intelligence (KTP Associate) (RO-2102)
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI and geospatial intelligence. Use platforms like LinkedIn to connect with people who work at companies you're interested in. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AI models, or geospatial analytics. This is your chance to demonstrate your technical prowess and creativity, so make it visually appealing and easy to navigate.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and data pipelines. Be ready to discuss how you would tackle real-world problems using your skills. Practising common interview questions can help you feel more confident and articulate during the actual interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you have any questions or need support, we’re here to help you every step of the way. Let’s land that job together!
We think you need these skills to ace Applied Data Scientist in AI & Geospatial Intelligence (KTP Associate) (RO-2102)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Applied Data Scientist role. Highlight your experience with AI, geospatial analytics, and any relevant projects that showcase your skills in Python and data pipelines. We want to see how you can bring value to our Rural Crime Information Platform!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission. Don’t forget to mention your experience with social media intelligence and user-centred design – we love seeing that connection!
Showcase Your Technical Skills: In your application, be sure to highlight your technical skills, especially in AI methods and geospatial analysis. If you've worked with LLMs or cloud platforms, let us know! We’re looking for someone who can tackle open-ended challenges with creativity and independence.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and keep track of everything. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harper Adams University
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python, AI methods, and geospatial analysis. Brush up on your knowledge of LLMs and data pipelines, as you might be asked to discuss how you would implement these in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle open-ended questions that assess your analytical strength and creativity. Think of examples from your past experiences where you faced technical challenges and how you approached solving them. This will demonstrate your ability to work independently and think critically.
✨Understand the User Perspective
Since this role involves working closely with farmers and rural stakeholders, it’s crucial to show that you understand their needs. Familiarise yourself with user-centred design principles and be ready to discuss how you would incorporate behavioural insights into the platform’s development.
✨Communicate Clearly and Confidently
You’ll need to communicate complex ideas across disciplines, so practice explaining your technical knowledge in simple terms. During the interview, aim for clarity and confidence in your responses, as this will reflect your ability to collaborate effectively with diverse teams.