Junior data scientist Work, Jobs in Chipping Warden, Nth (with Salaries)

Junior Data Scientist - Insite
FAI Farms —Oxford
- £33,000 - £37,000 a year
- Full-time
- Remote
- Azure
- Computer Science
- SQL
- Annual leave
- Sick pay
Quick apply
Senior Machine Learning Scientist
AIOI NISSAY DOWA INSURANCE MANAGEMENT LIMITED (ANDIM) —Oxford
- Azure
- Doctoral degree
- Computer Science
- Annual leave
- Employee assistance programme
7d

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Junior Data Scientist - Insite

FAI Farms
Oxford

Quick apply

Job details

Full-time
£33,000 - £37,000 a year

Benefits

Annual leave
Company pension
Private medical insurance
Sabbatical
Sick pay

Qualifications

Power BI
Azure
Computer Science
Relational databases
Software deployment
Supply chain
R
Git
Google Cloud Platform
Tableau
SQL
AWS
Analysis skills
Bachelor's degree
Machine learning
Animal welfare
Scalability
Regression analysis
Data science
Data visualisation
Clustering
Communication skills
Python

Full job description

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 Team

Tasks

Responsibilities

As 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 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

Qualifications & Experience

Essential

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

Desirable

Experience working closely with clients/customer to understand their needs and requirements
Experience in the challenges of deploying analytics models in the real world
Experience of model monitoring, scalability, optimisation and review
Interest in farming, animal health, welfare or sustainability
Knowledge of agricultural and/or animal sciences
Experience with cloud platforms (AWS, GCP, or Azure)
Exposure to MLOps practices or model deployment
Knowledge of version control with Git

Benefits

What We Offer

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

Join 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.

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