Remote Junior Data Scientist — Shape Sustainable Food Chains in Oxford

Remote Junior Data Scientist — Shape Sustainable Food Chains in Oxford

Oxford Full-Time 28000 - 35000 £ / year (est.) No working from home possible
faifarms

At a Glance

  • Tasks: Transform commercial datasets into actionable insights for sustainable food systems.
  • Company: FAI Farms, a leader in sustainable agriculture and analytics.
  • Benefits: Remote work, competitive salary, and the chance to make a real difference.
  • Other info: Exciting opportunity to grow your career while making an impact.
  • Why this job: Join a mission-driven team focused on sustainability in animal supply chains.
  • Qualifications: Bachelor’s degree in a quantitative field and skills in Python, R, and SQL.

The predicted salary is between 28000 - 35000 £ per year.

FAI Farms is seeking a Junior Data Scientist to join their analytics team and assist in converting commercial datasets into actionable insights for sustainability in animal supply chains. This full-time position offers the chance to work remotely within the United Kingdom and contributes significantly to building better food systems.

The ideal candidate will have:

  • A Bachelor’s degree in a quantitative field
  • Strong skills in Python, R, and SQL
  • A passion for data analysis and sustainability

Remote Junior Data Scientist — Shape Sustainable Food Chains in Oxford employer: faifarms

FAI Farms is an exceptional employer that champions sustainability and innovation in the food systems sector. With a remote-friendly work culture, employees enjoy the flexibility to collaborate with international colleagues while engaging in meaningful projects that drive positive change. The company prioritises professional growth, offering opportunities for development alongside a supportive team of experts dedicated to making a real impact in farmed animal supply chains.

faifarms

Contact Details:

faifarms Recruitment Team

We think you need these skills to ace Remote Junior Data Scientist — Shape Sustainable Food Chains in Oxford

Python
R
SQL
Data Analysis
Sustainability Knowledge
Quantitative Analysis
Actionable Insights Generation