Job description

About the Role

FAI is hiring a curious, self-driven Junior Data Scientist to join its expanding analytics function. In this position, you will work with experienced data scientists, supply chain specialists, and sustainability scientists to convert commercial data into practical insights that influence animal supply chain strategy. The role offers a strong chance to grow your technical capability within a collaborative group focused on improving food systems.

Location: Remote, United Kingdom

Employment type: Full-time employee

Hours: 35.5 hours per week

Team: Data Science Team

Responsibilities

Build a working understanding of major issues in agriculture, aquaculture, and supply chains, along with the metrics used to evaluate sustainability.
Prepare, merge, and analyse both structured and unstructured supply chain data drawn from varied sources such as farms, factories, IoT sensors, ERP systems, open datasets, and FAI’s in-house applications.
Work with consultants and subject-matter experts to clarify data challenges and shape effective analytical solutions.
Perform exploratory analysis to identify trends, patterns, and unusual observations.
Design dashboards and visual outputs that make results easy to understand for both technical and non-technical audiences.
Turn analytical findings into actionable recommendations for clients and industry stakeholders.
Develop and test predictive models and machine learning methods.
Record approaches, code, and outcomes clearly so work can be reproduced and shared.
Keep up to date with developments in data science, machine learning, and relevant industry trends.

Requirements

A bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a similar quantitative field, or equivalent practical experience.
Hands-on ability in Python and/or R, including data cleaning, transformation, and modelling.
Good working knowledge of SQL and relational databases.
Understanding of core machine learning techniques such as regression, classification, and clustering.
Experience using data visualisation tools such as Matplotlib, Seaborn, Tableau, or Power BI.
Strong analytical reasoning and problem-solving skills.
Confident communication skills, with the ability to present data-driven insights to mixed audiences.
Comfort working with incomplete, messy, real-world data.
Willingness to research subject matter in order to build domain knowledge.
Preferred: prior experience working with clients or customers to understand their needs.
Preferred: awareness of the practical challenges involved in deploying analytics models.
Preferred: experience with model monitoring, scalability, optimisation, and review.
Preferred: interest in farming, animal health, animal welfare, or sustainability.
Preferred: familiarity with agricultural science or animal science.
Preferred: exposure to cloud environments such as AWS, GCP, or Azure.
Preferred: familiarity with MLOps or model deployment practices.
Preferred: working knowledge of Git and version control.

Benefits

33 days of annual leave, including bank holidays, with pro-rata adjustment for part-time staff.
Extra holiday entitlement for long service.
The option to buy up to one additional week of leave per year.
Contributory pension through auto-enrolment.
Private health insurance.
Discretionary bonus opportunity.
Company sick pay covering 12 weeks at full pay and 12 weeks at half pay after successful completion of probation.
Enhanced maternity and adoption pay: full pay for 18 weeks, available after 26 weeks of service by the qualifying week.
Enhanced paternity pay: full pay for 2 weeks, available after 26 weeks of service by the qualifying week.
Opportunity to take sabbatical leave for long service.

Additional Information

This role is a full-time remote position based in the United Kingdom. The post is part of FAI’s Data Science Team and is focused on using analytical and science-led methods to support sustainable improvements in global supply chains.

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