Junior Data Scientist - Insite

About the Role

We're looking for a curious and driven Junior Data Scientist to join our growing analytics team. You'll work alongside experienced data scientists, supply chain experts and sustainability scientists to turn commercial datasets into actionable insights that shape animal supply chain direction. This is a great opportunity to develop your skills in a collaborative team, passionate about building better food systems.

Location:Remote (United Kingdom)

Position: Full time Employee, 37.5 hours/week.

Team: Data Science Team

Tasks

Responsibilities

As a Junior Data Scientist, you will work closely with FAI’s consultancy and data teams to develop efficient and impactful methods to analyse, interpret and present supply chain data. You will be a creative and motivated individual capable of independent and collaborative outputs that can support our supply chain partners to better our food system. In this role you will:

Understand key issues in agriculture and aquaculture and supply chains and metrics for assessing supply chain sustainability

Clean, integrate and analyse structured and unstructured supply chain data from multiple sources, including farms, factories, IoT sensors, ERP systems, open-source data and FAI’s custom-built applications

Collaborate with FAI’s consultants and industry experts to define and solve data problems

Conduct exploratory data analysis (EDA) to surface trends, patterns, and anomalies

Create clear visualizations and decision-support dashboards to communicate findings to both technical and non-technical stakeholders

Translate findings into practical recommendations that clients and industry can act on

Build and validate predictive models and machine learning algorithms

Document methodologies, code, and results and present findings to ensure reproducibility and shared understanding

Stay current with developments in data science, ML, and relevant industry trends

Requirements

Qualifications & Experience

Essential

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or another quantitative subject (or equivalent practical experience)

Proficiency in Python and/or R, with experience in data wrangling and modelling

Solid understanding of SQL and working with relational databases

Understanding of core machine learning concepts (regression, classification, clustering, etc.)

Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI)

Strong analytical thinking and problem-solving skills

Strong communication skills — able to explain and present data-driven insights to technical and non-technical audience

Comfortable working with messy, real-world datasets

Willingness to engage with research to gather domain specific knowledge

Desirable

Experience working closely with clients/customer to understand their needs and requirements

Experience in the challenges of deploying analytics models in the real world

Experience of model monitoring, scalability, optimisation and review

Interest in farming, animal health, welfare or sustainability

Knowledge of agricultural and/or animal sciences

Experience with cloud platforms (AWS, GCP, or Azure)

Exposure to MLOps practices or model deployment

Knowledge of version control with Git

Benefits

What We Offer

33 days annual leave inclusive of bank holidays (pro rata for part time)

Additional holiday awarded for long service

Holiday purchase scheme (up to one week per year)

Contributory auto-enrolment pension scheme

Private health insurance scheme

Discretionary bonus scheme

Generous Company sick pay scheme (12 weeks full pay, 12 weeks half pay, after successful completion of probation)

Enhanced Maternity and Adoption Pay (full pay for 18 weeks, after 26 weeks service by the qualifying week)

Enhanced Paternity Pay, full pay for 2 weeks (after 26 weeks service by the qualifying week)

Sabbatical leave opportunity for long service

Join FAI Farms as a Junior Data Scientist - Insite to drive sustainable change in global supply chains using your analytical skills and passion for impactful, science-led solutions.