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 TeamTasksResponsibilitiesAs 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 sustainabilityClean, 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 anomaliesCreate clear visualizations and decision-support dashboards to communicate findings to both technical and non-technical stakeholdersTranslate findings into practical recommendations that clients and industry can act onBuild 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

& ExperienceEssentialBachelor'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 modellingSolid understanding of SQL and working with relational databasesUnderstanding 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 skillsStrong communication skills - able to explain and present data-driven insights to technical and non-technical audienceComfortable working with messy, real-world datasetsWillingness to engage with research to gather domain specific knowledgeDesirableExperience working closely with clients/customer to understand their needs and

Requirements

Experience in the challenges of deploying analytics models in the real worldExperience of model monitoring, scalability, optimisation and review Interest in farming, animal health, welfare or sustainability Knowledge of agricultural and/or animal sciencesExperience with cloud platforms (AWS, GCP, or Azure)Exposure to MLOps practices or model deploymentKnowledge of version control with Git

Benefits

What We Offer33 days annual leave inclusive of bank holidays (pro rata for part time)Additional holiday awarded for long serviceHoliday purchase scheme (up to one week per year)Contributory auto-enrolment pension schemePrivate health insurance schemeDiscretionary bonus schemeGenerous 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 serviceJoin 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.Originally posted on Himalayas