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- Tasks: Research public discourse on farming and nature using AI and ML technologies.
- Company: Join the University of Essex and RSPB in a unique partnership.
- Benefits: Enjoy a personal development budget, management training, and access to university resources.
- Why this job: Make a real impact on environmental sustainability while developing cutting-edge AI solutions.
- Qualifications: MSc or PhD in relevant fields with experience in data science and machine learning.
- Other info: Lead exciting projects and engage with diverse stakeholders in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
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: https://iuk-ktp.org.uk/
THE PROJECT
The University of Essex in partnership with RSPB offers an exciting opportunity to a graduate with the relevant skills and knowledge to research public discourse on farming and nature, to ensure better understanding of evidence-based narratives, using different technologies.
DUTIES OF THE POST
The duties of the post will include:
• Monitor online discourse to identify misinformation and distorted narratives beyond basic sentiment analysis.
• Design, develop, and test an initial prototype of AI and ML predictive engine and computer vision system according to the requirement of the project.
• Review current workflows in the company and specify the functional requirements to integrate the new system.
• Investigation and implementation of prototype into existing system and validation.
• Embed technology; train and upskill company staff.
• Act as project lead, to progress the project and ensure milestones are met in a timely manner.
• Prepare reports, evaluate, handover, and sign off the project.
• Support company scale up and exploitation of new technology.
• Participate in academic and/or industrial conferences and other events, to disseminate and present research outcomes to the wider community.
• Active engagement in personal development.
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
• MSc or PhD in Computer Science, Data Science, AI or a similar discipline, or equivalent experience.
• Experience and knowledge of best practice in data storage, processing, and handling.
• Knowledge/interest in data science, machine learning algorithms, and computer vision.
• Experience of handling and manipulating large and complex data.
• Experience of developing and deploying predictive systems in cloud and in-house servers.
• Java/Python programming for frontend and backend development including experience in managing cloud.
• Ability to lead a complex project with competing deadlines and priorities.
• Excellent command of written and spoken English.
• Ability to work independently and as part of a team, listening to feedback and working collaboratively.
• Excellent time management skills.
• [Desirable] Experience engaging in environmental campaigning or conservation / passion for environmental sustainability.
Skills / Knowledge:
• Strong knowledge of machine learning, including time series forecasting, regression models, and neural networks.
• Experience with computer vision techniques, including image processing, object detection, and pattern recognition.
• Experience of designing, testing, and deploying machine learning models in a controlled environment.
• Understanding of data privacy regulations and ethical considerations.
• Understanding of UI centred product design, as well as data extraction and interrogation.
• Strong analytical and problem-solving skills, with experience of applying AI and optimisation techniques.
• Strong knowledge of Git for version controlling and project management tools such as JIRA/Trello.
• Knowledge/interest in data visualisation.
• [Desirable] Knowledge of digital marketing strategies to support stakeholder engagement and counter-misinformation campaigns.
Attributes:
• Willingness to lead knowledge transfer activities, including training and presentations.
• Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to write technical documentation/academic papers.
• Ability to deal with clients and good relationship building skills.
• [Desirable] Strong commercial awareness, ensuring AI solutions align with commercial priorities and benefit RSPB.
BENEFITS
As a KTP Associate, the post will offer the following benefits:
• A personal development budget of £4,340 (exclusive of salary).
• Management training and mentoring by an Innovate UK KTP Adviser.
• 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
RSPB
The Lodge
Potton Road
Sandy
Bedfordshire
SG19 2DL
Please see the attached job pack, which contains 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 contact resourcing@essex.ac.uk
*More information: Working at the University #J-18808-Ljbffr
AI Data Scientist (KTP Associate), CSEE employer: University of Essex
Contact Detail:
University of Essex Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data Scientist (KTP Associate), CSEE
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect with alumni from your university. You never know who might have a lead on that perfect AI Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Data Scientist (KTP Associate), CSEE
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Data Scientist role. Highlight relevant skills and experiences that match the job description, especially in data science, machine learning, and project management.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're the perfect fit for this role. Share your passion for environmental sustainability and how your background aligns with the project’s goals. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any relevant projects, whether academic or personal, make sure to mention them. We love seeing practical applications of your skills, especially in AI and machine learning. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you don’t miss out on any important updates regarding the process.
How to prepare for a job interview at University of Essex
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI, machine learning algorithms, and computer vision techniques. Be ready to discuss specific projects you've worked on, especially those involving predictive systems or data manipulation. This will show that you not only understand the theory but can also apply it practically.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle real-world problems, like misinformation in online discourse. Think about examples from your past experiences where you've successfully led a project or solved a complex issue. This will demonstrate your problem-solving skills and ability to manage competing deadlines.
✨Show Your Passion for Sustainability
Since this role involves environmental campaigning, be prepared to discuss your interest in sustainability. Share any relevant experiences or projects that highlight your commitment to environmental issues. This will resonate well with the interviewers and show that you're aligned with the company's values.
✨Practice Your Communication Skills
You'll need to explain technical concepts to non-technical stakeholders, so practice articulating complex ideas in simple terms. Consider doing mock interviews with friends or colleagues to refine your communication style. This will help you come across as approachable and clear during the actual interview.
