Junior Data Scientist

FAI

Junior Data Scientist at FAI Farms analyzing supply chain data to drive sustainable change in global food systems. Collaborating with experienced teams in a remote work environment.

Posted 6/16/2026full-timeRemote • 🇬🇧 United KingdomJunior💰 £33,000 - £37,000 per yearWebsite

Tech Stack

Tools & technologies

ERPIoTPythonSQLTableau

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

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

ATS Keywords

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Hard Skills & Tools

PythonRSQLdata wranglingdata modelingmachine learningpredictive modelingexploratory data analysisdata visualizationstatistical analysis

Soft Skills

analytical thinkingproblem-solvingcommunicationcollaborationpresentation skills

Certifications

Bachelor's degree in Data ScienceBachelor's degree in StatisticsBachelor's degree in Computer ScienceBachelor's degree in Mathematics