141 Research Statistician jobs in the United Kingdom
Formal Methods Engineer - Research
IO Global
Posted 76 days ago
Job Viewed
Job Description
Who are we?
IOG, is a technology company focused on blockchain research and development. We are renowned for our scientific approach to blockchain development, emphasizing peer-reviewed research and formal methods to ensure security, scalability, and sustainability. Our projects include the Cardano blockchain, as well as other products in the areas of decentralized finance (DeFi), governance, and identity management, aiming to advance the capabilities and adoption of blockchain and Web3 technology globally.
What the role involves:
As a Formal Methods Engineer at IO you act as a bridge between product, research, architecture, and development. You will develop formal artifacts as early as possible in the development process that grow with the project and continue to provide impact throughout into the late stages. You will develop and iteratively refine specifications, working towards high quality designs, prototypes and practical implementations. Your work will form part of the day-to-day quality assurance of production system development. In some projects, critical steps will be tested, or proven using appropriate formal frameworks and tools. In other projects, the expected performance of the resulting system will be modeled, so that the impact of design decisions on performance and stability can be assessed early on. Based on this process, you will provide feedback to the researchers. Finally, based on their specifications, designs, simulations and/or prototypes, you will advise and assist other development teams to implement and integrate their work into production systems.
You will participate in knowledge sharing and continuous learning through interactions with Formal Methods Engineers across the company and more broadly with researchers and engineers as well.
- Build formal artifacts from research and architectural guidance, and business and engineering requirements.
- Model the performance of formally specified systems
- Produce prototypes and simulations
- Refine specifications, using the performance models and simulations to gauge the impact of design decisions during refinements
- Discover new properties about the specifications and their implications
- Prove properties of the specifications and of the correctness of refinement steps
- Communicate with both researchers and developers, and act as a bridge between the two: you will provide feedback to researchers about issues that come up when their work is incorporated into real world systems. You will assist developers in understanding your specifications and in turning them into production code
- Report on your work, in the form of blog posts, technical report documents, presentations at internal seminars, as well as at workshops and conferences, and/or by contributing to academic papers
- Participate in code reviews
- Contribute property-based tests, both for testing properties of the executable specifications/prototypes, and for verifying production code against the executable specifications
- Contribute to the implementation, extension, and maintenance of custom static analysis tooling
- Work in an international team across multiple time zones
- Break down large and complex tasks assigned to you into workable items, and work on them independently
- Share specialized knowledge with other team members
Requirements
Who you are:
- A higher degree in Computer Science or a related field
- A minimum of 2-3 years of experience in a functional language, preferably Haskell
- A minimum of 2-3 years of experience in a dependent-typed language, preferably Agda
- Experience working and collaborating with Git
- Experience with one or more formal methods
- Experience in one or more of the domains we are working in -- networking, distributed systems, programming language design, blockchain applications -- would be a bonus.
- Demonstrated ability to work on difficult problems in a self-driven way
- Deep thinking, problem solving
- Ability to understand and translate complex ideas and break them down simply for yourself and others
- Software engineering skills
- Bridge between research and engineers
- Translate and reshape information for the software engineers to understand properly
- Telling researchers when there is a discrepancy - feedback to research
- Be able to receive input from researchers, thoroughly understand and translate information into final code
- Continuously brings fresh ideas to the mix
- Be versatile and enjoy a fast-paced, ever-changing environment
- Be a savvy problem solver
Benefits
- Remote work
- Laptop reimbursement
- New starter package to buy hardware essentials (headphones, monitor, etc)
- Learning & Development opportunities
- Competitive PTO
At IOG, we are committed to fostering a diverse and inclusive workplace where all individuals are valued and empowered to succeed. We welcome people of all backgrounds and ensure that employment decisions are based solely on merit, qualifications, and potential. Everyone is given equal opportunities regardless of race, color, religion, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability, or any other characteristic protected by law.
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0
Agronomist - Remote Data Analysis
BT1 1AA Belfast, Northern Ireland
£45000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a leader in sustainable agricultural technology, is actively seeking a highly skilled and innovative Agronomist to join their fully remote team. This unique role focuses on the analysis of large-scale agricultural data to provide actionable insights and recommendations for optimizing crop yields, improving soil health, and enhancing farming practices. You will leverage cutting-edge data analytics tools and collaborate virtually with a global network of researchers, farmers, and agricultural specialists. This is an exceptional opportunity for an experienced agronomist with a passion for data-driven agriculture and a proven ability to excel in a remote work environment. The successful candidate will contribute to shaping the future of farming.
Key Responsibilities:
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
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1
Graduate Trainee - Data Analysis
NE1 5HQ Newcastle upon Tyne, North East
£25000 annum (pro
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a forward-thinking analytics firm based in Newcastle upon Tyne, Tyne and Wear, UK , is offering an exceptional Graduate Trainee opportunity within their Data Analysis department. This is a fantastic chance for ambitious recent graduates to kick-start their career in a dynamic and data-driven environment. This role offers a hybrid working model, blending essential in-office collaboration and learning with the flexibility of remote work. You will receive comprehensive training and mentorship, working alongside experienced data professionals to develop your skills in data extraction, manipulation, analysis, and visualization. This program is designed to provide a robust foundation in data science principles and practical application.
Key Responsibilities:
Key Responsibilities:
- Assist senior analysts in collecting and cleaning large datasets from various sources.
- Perform data extraction, transformation, and loading (ETL) processes under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Develop and create clear and concise data visualizations and reports to communicate findings.
- Support the development and testing of analytical models.
- Learn and apply statistical methods and techniques relevant to data analysis.
- Collaborate with team members to understand project requirements and contribute to solutions.
- Maintain accurate documentation of data processes and analytical methodologies.
- Participate in team meetings and training sessions to enhance technical and analytical skills.
- Contribute to ad-hoc data analysis requests as needed.
- A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- An understanding of statistical concepts and data modelling principles.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
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2
Senior Manager, Data Analysis
City of Westminster, London
Pulse Advertising
Posted 1 day ago
Job Viewed
Job Description
Short title
Build creative social media conceptsnYour application
Ready to turn your expertise into impact?nIf you’re looking to lead with data, guide high-level strategy, and help shape a future where insights drive everything—we’d love to hear from you.
Apply now and let’s build smarter campaigns, together.nIntroduction
We are seeking a
Senior Data Analyst
who goes beyond reporting and designing metrics, engineering insights, and building proprietary models. If you are passionate about data exploration, modeling, and social intelligence, we would love to hear from you.nYour tasks
You lead performance analysis across social, influencer, and paid media, delivering strategic recommendationsnYou oversee social listening, competitor benchmarking, and market analysis to refine insightsnYou apply data science methods and collaborate across teams to develop predictive models and data-driven product narrativesnYou analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligencenYou design and refine the Social Media Value (SMV) metric, integrating multiple data sources into one monetary valuenYou mentor junior analysts, promoting analytical rigor, creativity, and strategic thinkingnYour skills
You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy, social tech, marketing analytics, or agency settingsnYou possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker StudionYou are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clientsnYou understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeplynYou are skilled at working with unstructured API data, turning it into scalable, insightful frameworksnYou demonstrate strong leadership and mentorship skills and you’re fluent in English, any additional language is a plus
#J-18808-Ljbffrn
Build creative social media conceptsnYour application
Ready to turn your expertise into impact?nIf you’re looking to lead with data, guide high-level strategy, and help shape a future where insights drive everything—we’d love to hear from you.
Apply now and let’s build smarter campaigns, together.nIntroduction
We are seeking a
Senior Data Analyst
who goes beyond reporting and designing metrics, engineering insights, and building proprietary models. If you are passionate about data exploration, modeling, and social intelligence, we would love to hear from you.nYour tasks
You lead performance analysis across social, influencer, and paid media, delivering strategic recommendationsnYou oversee social listening, competitor benchmarking, and market analysis to refine insightsnYou apply data science methods and collaborate across teams to develop predictive models and data-driven product narrativesnYou analyze social API data and build benchmarks across platforms, countries, content types, and creator tiers to deliver actionable insights and contextual intelligencenYou design and refine the Social Media Value (SMV) metric, integrating multiple data sources into one monetary valuenYou mentor junior analysts, promoting analytical rigor, creativity, and strategic thinkingnYour skills
You have 4-6 years of experience as a Data Analyst or hybrid Analyst/Scientist in digital strategy, social tech, marketing analytics, or agency settingsnYou possess expert knowledge in social analytics, data visualization, and forecasting tools like GWI, Pulsar, and Looker StudionYou are capable of designing scoring models, developing KPIs, and generating predictive insights, while translating technical results into strategic value for global clientsnYou understand social media platform (TikTok, Instagram, YouTube) dynamics and influencer/creator marketing metrics deeplynYou are skilled at working with unstructured API data, turning it into scalable, insightful frameworksnYou demonstrate strong leadership and mentorship skills and you’re fluent in English, any additional language is a plus
#J-18808-Ljbffrn
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3
Remote Exploration Geologist - Data Analysis
MK9 2FB Milton Keynes, South East
£55000 Annually
WhatJobs
Posted today
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Job Description
Our client is a leading player in the global mining sector and is actively seeking a highly skilled and experienced Remote Exploration Geologist with a strong focus on data analysis. This is a fully remote position, offering the flexibility to work from anywhere within the UK. The successful candidate will be instrumental in identifying and evaluating potential mineral resource projects through the comprehensive analysis of geological data. Your responsibilities will include interpreting and modelling geological, geochemical, and geophysical datasets, assessing resource potential, and contributing to the strategic direction of exploration programs. You will leverage advanced geological software and data analysis techniques to generate insights and recommendations. Collaboration with in-house geologists, geophysicists, and external consultants will be a key aspect of this role, requiring excellent communication and teamwork skills despite the remote nature of the work. The ideal candidate will possess a deep understanding of mineral deposit formation, geological mapping, and resource estimation principles. A proven track record of successful exploration projects, supported by strong analytical and problem-solving capabilities, is essential. You will be responsible for the quality and integrity of geological data and models, ensuring they meet industry standards. This role demands a proactive approach, the ability to work autonomously, and a passion for uncovering new mineral resources. Experience with scripting languages for data manipulation and visualization (e.g., Python, R) would be a significant advantage. You will contribute to high-level decision-making regarding exploration strategy and investment.
Responsibilities:
Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.
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4
Advanced Apprenticeship in Data Analysis
BD1 1AA Bradford, Yorkshire and the Humber
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Embark on an exciting career journey with our Advanced Apprenticeship in Data Analysis program, offered in partnership with leading companies, providing a blend of remote learning and on-site practical experience in **Bradford, West Yorkshire, UK**. This is an exceptional opportunity for motivated individuals looking to gain valuable skills and qualifications in the in-demand field of data analysis. As an apprentice, you will receive comprehensive training, mentorship, and hands-on experience, working alongside experienced data professionals. You will learn to collect, clean, interpret, and visualize complex datasets to help businesses make informed decisions. Key responsibilities will include assisting with data extraction and manipulation, supporting the creation of reports and dashboards, and contributing to data quality checks. You will develop proficiency in essential tools and techniques, such as SQL, Excel, and data visualization software. This apprenticeship is designed to provide a structured pathway to a successful career in data. We are seeking enthusiastic, eager-to-learn individuals with a keen eye for detail and a strong aptitude for problem-solving. A genuine interest in data and technology is essential, along with good communication skills and the ability to work both independently and as part of a team. This hybrid program balances flexible remote study with practical application in a professional setting, ensuring a well-rounded learning experience. Upon successful completion, you will gain a recognized qualification and be well-positioned for further career advancement in data analytics.
Program Details:
Program Details:
- Comprehensive training in data collection, cleaning, and preparation techniques.
- Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Developing skills in data interpretation, statistical analysis, and report generation.
- Gaining practical experience through real-world projects and tasks.
- Mentorship from experienced data analysts and professionals.
- Hybrid learning model: structured remote study combined with on-site work experience.
- Opportunity to earn a recognized qualification upon completion.
- Pathway to potential full-time employment with partner companies.
- Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
- A genuine interest in data analysis and technology.
- Strong numerical and analytical abilities.
- Good problem-solving skills and attention to detail.
- Effective communication and interpersonal skills.
- Ability to work collaboratively in a team and independently.
- Commitment to completing the full apprenticeship program.
- Must be eligible to work in the UK and not currently in full-time education.
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5
Remote Graduate Trainee - Data Analysis
PL1 1AA Plymouth, South West
£25000 annum (pro-
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a forward-thinking organization committed to leveraging data for strategic decision-making, is looking for enthusiastic and motivated Graduate Trainees to join their fully remote Data Analysis team. This exciting internship opportunity, coordinated from Plymouth, Devon, UK , is designed for recent graduates eager to kick-start their careers in data science and analytics. You will have the chance to work on real-world projects, gain hands-on experience with powerful data tools, and learn from experienced data professionals in a supportive, remote environment. This program offers comprehensive training and development, setting you up for a successful career in data analysis.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building predictive models and analytical solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of data dashboards and performance tracking tools.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Stay updated on the latest trends and tools in data analysis and data science.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a commitment to accuracy.
- Enthusiasm for learning and developing new skills in data analytics.
- Must be eligible to work in the UK.
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6
Geologist - Remote Sensing & Data Analysis
CB21 1AA Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading entity in resource exploration and geological analysis, is seeking a highly skilled Geologist with expertise in Remote Sensing and Data Analysis to join their globally distributed team. This is a fully remote position, offering the opportunity to work on diverse geological projects from anywhere. The role will involve the interpretation of satellite imagery, geophysical data, and other remote sensing products to identify and assess mineral and resource deposits. The ideal candidate will possess a strong foundation in geology, advanced analytical skills, and extensive experience with relevant software and technologies.
Responsibilities:
Responsibilities:
- Utilize remote sensing data (e.g., satellite imagery, LiDAR, SAR) to identify geological features, structures, and potential resource targets.
- Process, analyze, and interpret various types of geological and geophysical data, including seismic, magnetic, and gravity data.
- Develop and apply advanced data analysis techniques and algorithms for geological modeling and interpretation.
- Integrate diverse datasets to create comprehensive geological models and maps.
- Conduct literature reviews and historical data analysis to support exploration and resource assessment efforts.
- Prepare detailed technical reports, presentations, and geological maps for internal and external stakeholders.
- Collaborate virtually with geologists, geophysicists, data scientists, and other team members located worldwide.
- Contribute to the development and refinement of data processing workflows and analytical methodologies.
- Stay abreast of the latest advancements in remote sensing technologies, geological software, and data analysis techniques.
- Ensure data quality, integrity, and consistency throughout all analytical processes.
- Assist in the planning and execution of geological surveys and exploration programs.
- Provide geological expertise and insights to support decision-making in resource development projects.
- Maintain and manage geological databases and datasets.
- Master's or Ph.D. in Geology, Geophysics, Remote Sensing, or a closely related field.
- Minimum of 5-7 years of professional experience in geological exploration, with a specific focus on remote sensing and data analysis.
- Proficiency in geological software (e.g., ArcGIS, QGIS, Leapfrog, Petrel) and remote sensing software (e.g., ERDAS Imagine, ENVI).
- Strong programming skills in languages such as Python, R, or MATLAB for data analysis and scripting.
- Experience with GIS and spatial analysis techniques.
- In-depth understanding of geological principles, mineral deposit types, and exploration methods.
- Familiarity with various remote sensing platforms and data acquisition methods.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly present complex technical information.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning applications in geology is a significant advantage.
- Membership in professional geological societies is desirable.
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7
Senior Geologist - Remote Data Analysis
L3 8SY Liverpool, North West
£70000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a global leader in resource exploration and management, is seeking a highly experienced Senior Geologist to join their innovative team in a fully remote capacity. This role focuses on the advanced analysis of geological data, contributing critical insights to exploration and mining projects worldwide. You will leverage state-of-the-art software and methodologies to interpret complex datasets, identify potential resource deposits, and support strategic decision-making. The ideal candidate will possess a strong academic background in geology or a related field, extensive experience in mineral exploration or mining geology, and exceptional analytical and data interpretation skills. This position offers the flexibility to work from home, with a focus on supporting projects relevant to our operations in Liverpool, Merseyside, UK and beyond.
Key Responsibilities:
Key Responsibilities:
- Analyze and interpret geological data from various sources, including drill logs, geophysical surveys, geochemical analyses, and remote sensing imagery.
- Develop and maintain geological models using industry-standard software (e.g., Leapfrog, Vulcan, ArcGIS).
- Identify and evaluate prospective areas for mineral and resource exploration based on geological criteria and data analysis.
- Collaborate with exploration and mine planning teams to provide geological input and recommendations.
- Assess the quality and reliability of geological data, implementing data validation and quality control procedures.
- Prepare detailed geological reports, maps, and cross-sections for internal use and external stakeholders.
- Contribute to resource estimation and reserve calculations, ensuring accuracy and adherence to reporting standards (e.g., JORC, NI 43-101).
- Stay abreast of new geological techniques, technologies, and research relevant to mineral exploration and mining.
- Mentor junior geologists and provide technical guidance on data analysis and interpretation.
- Communicate complex geological concepts effectively to both technical and non-technical audiences.
- Participate in virtual team meetings and contribute to project planning and strategy discussions.
- Master's or Ph.D. in Geology, Geological Engineering, or a related earth science discipline.
- Minimum of 8 years of relevant experience in mineral exploration, mining geology, or resource evaluation.
- Demonstrated expertise in geological data analysis, interpretation, and modeling software (e.g., Leapfrog, Vulcan, Datamine, ArcGIS).
- Strong understanding of structural geology, mineralogy, geochemistry, and geophysics.
- Proven ability to manage and interpret large, complex geological datasets.
- Excellent written and verbal communication skills, with strong report writing capabilities.
- Ability to work independently, manage priorities effectively, and meet deadlines in a remote setting.
- Experience with statistical analysis and data visualization techniques.
- Familiarity with international reporting codes for mineral resources and reserves.
- Membership in a relevant professional geological body is advantageous.
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8
Agronomist - Remote Sensing & Data Analysis
ST1 5NE Staffordshire, West Midlands
£50000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking an innovative and technically proficient Agronomist with expertise in remote sensing and data analysis to join their fully remote team. This role will focus on leveraging advanced technologies to monitor crop health, optimize agricultural practices, and enhance yield for clients across diverse geographical regions. The ideal candidate will possess a strong understanding of agronomy principles, combined with significant experience in processing and interpreting satellite imagery, drone data, and other geospatial information. You will be responsible for developing data-driven insights and providing actionable recommendations to farmers and agricultural businesses.
Key Responsibilities:
Key Responsibilities:
- Utilize remote sensing data (satellite, drone imagery) to monitor crop health, growth stages, and identify potential issues (e.g., pests, diseases, nutrient deficiencies).
- Process and analyze large datasets using GIS software, image processing tools, and statistical methods.
- Develop predictive models for crop yield, risk assessment, and resource management.
- Interpret data to provide precise, actionable agronomic recommendations to farmers and agricultural consultants.
- Collaborate with research teams to develop and validate new remote sensing applications in agriculture.
- Create clear and concise reports, maps, and visualizations to communicate findings.
- Stay up-to-date with advancements in remote sensing technology, GIS, and agricultural science.
- Assist in the design and implementation of field trials to validate remote sensing data and models.
- Support the integration of remote sensing data with other agricultural data sources (e.g., weather, soil data).
- Provide technical support and training to internal teams and clients on the use of data analysis tools.
- Master's degree or Ph.D. in Agronomy, Agricultural Science, Remote Sensing, Geospatial Science, or a closely related field.
- Minimum of 3 years of experience in applying remote sensing and GIS technologies in an agricultural context.
- Proficiency in image processing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
- Strong programming skills in Python or R for data analysis and scripting.
- Solid understanding of agronomic principles, crop physiology, and soil science.
- Experience with analyzing data from various satellite platforms (e.g., Sentinel, Landsat) and drones.
- Excellent analytical, problem-solving, and data visualization skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
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9