Junior Data Scientist (Agriculture)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Junior Data Scientist (Python/R/SQL): Analyzing and interpreting commercial supply chain data to improve animal supply chain sustainability with an accent on data wrangling, EDA, and predictive modeling. Focus on building decision-support dashboards and developing ML algorithms to translate complex agri-food datasets into actionable insights.
Location: Remote (Must be based in the United Kingdom)
Company
is an organization dedicated to building better food systems through data-driven supply chain insights and sustainability science.
What you will do
- Clean and integrate structured and unstructured supply chain data from IoT sensors, ERP systems, and custom applications.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies in agriculture and aquaculture data.
- Develop and validate predictive models and machine learning algorithms to support supply chain direction.
- Create clear visualizations and decision-support dashboards to communicate findings to technical and non-technical stakeholders.
- Collaborate with consultancy and industry experts to define and solve complex data problems.
- Document methodologies, code, and results to ensure reproducibility and shared understanding.
Requirements
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or another quantitative subject.
- 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 such as regression, classification, and clustering.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau, Power BI).
- Must be based in the United Kingdom.
Nice to have
- Experience deploying and monitoring analytics models in real-world environments.
- Knowledge of MLOps practices or model deployment.
- Experience with cloud platforms such as AWS, GCP, or Azure.
- Interest in farming, animal health, welfare, or sustainability.
- Proficiency with version control using Git.
Culture & Benefits
- 33 days of annual leave including bank holidays, with options to purchase additional leave.
- Private health insurance and a contributory auto-enrolment pension scheme.
- Generous company sick pay (12 weeks full pay, 12 weeks half pay).
- Enhanced Maternity, Adoption, and Paternity pay.
- Discretionary bonus scheme and sabbatical leave opportunities for long service.
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