Junior Data Scientist

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FAI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2000

🌾 Agriculture

Agriculture • Animal Welfare • Consulting

FAI is a collaborative organization that focuses on improving animal-based production systems through science, data, and practical expertise. By partnering with corporations, FAI aims to deliver positive change in food systems, emphasizing regenerative agriculture and animal welfare. They provide consulting services, educational courses, and work on solutions that enhance sustainability in farming practices, ultimately striving to mitigate adverse impacts on biodiversity and climate change.

📋 Description

• 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

• 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

• 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