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Data Scientist

Remote: 
Full Remote
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Offer summary

Qualifications:

PhD in Computer Science, Mathematics, or related field OR a Master's degree with real-world machine learning experience., Proficiency in Python and machine learning frameworks..

Key responsabilities:

  • Understand the technology of the platform and its application in the industry.
  • Research and implement Explainable AI in collaboration with an academic partner.
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11 - 50 Employees
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Job description

**Unlock Your Potential: Become a AI Data Scientist with a Leading Agritech Innovator who are collaborating with a university partner to build technology that can create positive change for the animals and people within these supply chains, as well as our shared planet. **

Are you ready to embark on a transformative career journey that blends cutting:edge technology with a passion for sustainability? This company, a pioneer in agritech solutions for over two decades, is looking for an innovative and driven Data Scientist to join their dynamic team. This is an unparalleled opportunity your expertise in Artificial Intelligence and Machine Learning to revolutionize the food system, focusing on livestock and aquaculture sectors. If youre passionate about making a positive impact on animal welfare, productivity, and reducing environmental footprints, this role is your chance to contribute to meaningful change.

What You Will Do

: Dive deep into the technology and commercial use case of the platform, the companys flagship product, to understand its application in the industry.

: Collaborate with a renowned academic partner, to research and implement Explainable AI for enhancing platform functionality.

: Integrate and refine AI models within the platform, ensuring they meet research and commercial needs.

: Deliver on key R and D milestones, contributing to the application of AI in addressing the challenges of laying hen farming.

: Work alongside a global team to explore wider AI applications in building farm:led solutions for the food system.

: Communicate progress and findings to stakeholders, playing a pivotal role in multi:partner R and D workstreams.

What You Will Bring

: A PhD in Computer Science, Mathematics, or a related field, OR a Masters degree coupled with real:world machine learning application experience.

: Proficiency in software engineering, with robust coding skills in Python and familiarity with machine learning frameworks.

: A track record of developing and delivering machine learning:based solutions that address customer needs.

: Excellent communication skills, capable of conveying complex information with clarity and engaging with research to gain domain:specific knowledge.

: An interest in farming, animal health, welfare, or sustainability is highly desirable.

Company Contribution And Industry Information

This role is at the heart of the companys mission to build technology for a better food system. By joining the team, you will be part of an organisation that partners with global businesses to create positive change within the livestock and aquaculture sectors. Your contribution will directly impact the development of sustainable, animal:friendly, and efficient food production methods.

**Location:**

This position offers the flexibility of remote working, with occasional travel required to Bournemouth and Newcastle. Applicants must be based in the United Kingdom.

Take The Next Step

If youre eager your skills in a role that promises not just professional growth but the chance to make a real difference, we want to hear from you. This is more than a job; its a calling for those passionate about leveraging technology for good. Dont miss out on this opportunity to be at the forefront of agritech innovation. Apply now to become the Data Scientist this company needs to help shape the future of our food system.

Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.

In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

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Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication

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