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2 дня назад

Junior Data Scientist (Agriculture)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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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