1 Statistical Analysis jobs in Cambridgeshire
Senior Agronomist - Remote Sensing & Data Analysis
CB22 3NN Cambridge, Eastern
£50000 Annually
WhatJobs
Posted 5 days ago
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Job Description
Our client, a forward-thinking agricultural technology company, is seeking an experienced Senior Agronomist with a strong background in remote sensing and data analysis. This is a fully remote position, allowing you to contribute to cutting-edge agricultural innovation from anywhere in the UK. You will play a critical role in developing and implementing advanced data-driven solutions to optimize crop health, yield, and sustainability for agricultural operations worldwide.
As a Senior Agronomist, you will leverage your expertise in geospatial technologies, satellite imagery, drone data, and advanced analytical techniques to provide actionable insights to our clients. Your work will directly contribute to enhancing precision agriculture practices, improving resource management, and supporting sustainable farming initiatives. This role requires a blend of scientific knowledge in agronomy and strong technical proficiency in data processing and interpretation. You will be expected to work independently, manage projects effectively, and communicate complex findings clearly to both technical and non-technical stakeholders.
Key Responsibilities:
Qualifications and Skills:
If you are a dedicated agronomist passionate about leveraging technology to transform agriculture and thrive in a remote work environment, we invite you to apply for this exciting opportunity.
As a Senior Agronomist, you will leverage your expertise in geospatial technologies, satellite imagery, drone data, and advanced analytical techniques to provide actionable insights to our clients. Your work will directly contribute to enhancing precision agriculture practices, improving resource management, and supporting sustainable farming initiatives. This role requires a blend of scientific knowledge in agronomy and strong technical proficiency in data processing and interpretation. You will be expected to work independently, manage projects effectively, and communicate complex findings clearly to both technical and non-technical stakeholders.
Key Responsibilities:
- Utilize remote sensing data (satellite, aerial, drone) to monitor crop health, growth, and identify potential issues.
- Develop and implement algorithms and models for analyzing agricultural data, including spectral indices, yield prediction, and soil analysis.
- Interpret complex datasets to provide strategic recommendations for crop management, fertilization, irrigation, and pest control.
- Collaborate with software developers and data scientists to enhance data processing pipelines and analytical tools.
- Conduct field validation studies and ground-truthing to ensure data accuracy and model reliability.
- Communicate findings and recommendations through comprehensive reports, presentations, and dashboards.
- Support the development and deployment of new precision agriculture technologies and services.
- Stay abreast of the latest advancements in remote sensing, agronomy, and agricultural data science.
- Provide technical guidance and mentorship to junior team members.
- Contribute to research and development projects aimed at improving agricultural efficiency and sustainability.
Qualifications and Skills:
- Master's or Ph.D. in Agronomy, Crop Science, Agricultural Engineering, or a closely related field.
- Minimum of 5 years of experience in agronomy, with a significant focus on remote sensing and geospatial data analysis.
- Proficiency in using GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ERDAS Imagine, ENVI).
- Strong programming skills in languages such as Python or R for data analysis and statistical modeling.
- Experience with satellite imagery processing and analysis (e.g., Sentinel, Landsat).
- Familiarity with agricultural sensors and data acquisition techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
- Proven ability to work independently and manage multiple projects in a remote setting.
- Passion for sustainable agriculture and innovative farming practices.
If you are a dedicated agronomist passionate about leveraging technology to transform agriculture and thrive in a remote work environment, we invite you to apply for this exciting opportunity.
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