Senior Data Scientist - Environmental Sciences

Fera Science Ltd.
North Yorkshire
2 months ago
Applications closed

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Senior Data Scientist - Environmental Sciences

Join to apply for the Senior Data Scientist – Environmental Sciences role at Fera Science Ltd.

Join us as a Data Scientist and make an invaluable contribution to our Food Safety & Biosecurity.

As a Data Scientist within Fera’s Socio‑Economic, Mathematics and Statistics (SEMS) team, you’ll contribute to innovative research and analysis that supports evidence‑based decision‑making in plant health, food safety, and environmental science. Working alongside a multidisciplinary group of analysts, economists, and statisticians, you’ll apply advanced data techniques to tackle complex challenges in areas such as crop protection, soil health, biodiversity, and sustainable land use.

Responsibilities
  • Systematically gather and review published literature, perform quantitative and qualitative analysis using advanced statistical techniques, surveys, interviews, and focus groups.
  • Apply theory‑based evaluation methods to interpret complex datasets and generate actionable insights.
  • Manage projects end‑to‑end, lead scientific teams, and ensure high‑quality outputs are delivered on time and within budget.
  • Identify funding opportunities, prepare proposals, and lead customer‑facing meetings with government and commercial clients.
  • Produce clear technical documentation, contribute to project reports, and support manuscript development.
  • Represent the team at conferences and seminars, delivering impactful presentations and thought leadership.
Qualifications
  • MSc in a relevant scientific discipline with strong experience in data analysis, project management, and both qualitative and quantitative research.
  • Proven experience in either R or Python.
  • Proven ability to lead and deliver complex projects on time and within budget, with excellent planning and organisational skills.
  • Proficiency in version control systems (Git/GitHub/GitLab) and clear documentation of analyses and development work.
  • Demonstrated expertise in applying data analysis to crop health, soil health, food safety, or environmental science.
  • Experience in grant writing and a strong publication record in scientific journals.
  • Exceptional written and verbal communication skills, translating complex findings into actionable insights.
  • Ability to lead and collaborate within multidisciplinary project teams.
  • Commitment to continuous development of technical skills and scientific knowledge.
Benefits
  • 25 days’ holiday (rising to 29) with the opportunity to buy & sell extra leave.
  • Flexible working hours, on‑site gym, restaurant, and free parking.
  • The opportunity to take a paid day out of the office, volunteering for our charity partners or a cause of your choice.
  • Company matched pension, life assurance, a cycle2work scheme, 15 weeks’ fully paid maternity, adoption and shared parental leave, paternity pay of two weeks and plenty more.
  • Voluntary benefits designed to suit your lifestyle – from discounts on retail and socialising to health & wellbeing, travel and technology.
  • Fera operates a LTIP (Long Term Incentive Plan) under which all employees are awarded points towards shares in the Employee Benefits Trust on an basis. The Employee Benefits Trust holds shares on behalf of our employee; at the point of an equity event the shares will realise a cash value.
Apply

Choose ‘Apply now’ to fill out our short application so that we can find out more about you. If you have any questions you’d like to ask before applying, you can contact . We’re an equal opportunity employer, which means we recruit and develop people based on their merit and passion. We’re committed to providing an inclusive, barrier‑free recruitment process and working environment for everyone. If you need the job description or application form in an alternative format or if you’d like to discuss other changes or support you might need going forward, please email at and we’ll get back to you.


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