4,003 Geological Surveyor Remote Sensing Specialist jobs in Kenya
Geological Surveyor (Remote Sensing Specialist)
Posted 20 days ago
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Job Description
Our client is looking for an experienced and meticulous Geological Surveyor with expertise in remote sensing technologies to join our expanding mining operations team. This is a fully remote role, empowering you to conduct critical geological analysis and mapping from your home office. You will be responsible for analyzing satellite imagery, aerial photography, and other geospatial data to identify potential mineral deposits, assess geological structures, and support exploration efforts. Key responsibilities include processing and interpreting a wide range of remote sensing data using specialized software (e.g., ArcGIS, ENVI, ERDAS Imagine), conducting spatial analysis, and generating geological maps and reports. You will work closely with our on-site exploration teams, providing them with data-driven insights and recommendations to guide their fieldwork. Collaboration with geologists, geophysicists, and other technical experts is essential. Strong analytical and problem-solving skills are paramount, as is the ability to translate complex data into actionable intelligence. The ideal candidate will possess a Bachelor's or Master's degree in Geology, Geosciences, Geography, or a related field, with a specialization in remote sensing or GIS. Proven experience in applying remote sensing techniques to geological exploration and mining is required. Proficiency in GIS and remote sensing software is mandatory. Experience with data processing pipelines for large datasets and an understanding of different sensor types and their applications are highly beneficial. Excellent communication skills are needed to effectively convey findings to both technical and non-technical audiences. This position is designed for a self-starter who thrives in a remote work environment and is committed to advancing our understanding of the Earth's resources. While the role is remote, familiarity with the geological landscape and mining potential of regions such as **Ongata Rongai, Kajiado, KE** would be a valuable asset.
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Geological Survey Specialist (Remote Sensing)
Posted 4 days ago
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Job Description
Our client is seeking a highly skilled and analytical Geological Survey Specialist with expertise in remote sensing to join their innovative team. This position is fully remote, allowing you to contribute from anywhere while focusing on critical geological assessments for mining operations. The ideal candidate will leverage advanced remote sensing techniques, satellite imagery, and GIS data to identify potential mineral deposits, analyze geological formations, and support exploration efforts. You will play a crucial role in mapping geological structures, assessing resource potential, and contributing to strategic mine planning. Responsibilities include processing and interpreting various types of satellite and aerial imagery, conducting spatial analysis, and generating detailed geological maps and reports. You will work with large datasets, employing sophisticated software tools to extract meaningful geological information. Collaboration with geologists, engineers, and other domain experts will be a key aspect of this role, facilitated through virtual communication channels. While our operational base is near Thika, Kiambu, KE , this role is 100% remote, emphasizing asynchronous communication and robust digital workflows. The successful applicant will possess a Master's or PhD in Geology, Geophysics, Earth Sciences, or a related field, with a strong specialization in remote sensing and GIS applications. Proven experience in analyzing geological data using remote sensing platforms (e.g., ENVI, ERDAS IMAGINE, ArcGIS, QGIS) is essential. Strong analytical, problem-solving, and data visualization skills are required. You should be able to work independently, manage complex projects, and deliver high-quality results within deadlines. Familiarity with mineral exploration techniques and geological modeling is a significant advantage. If you are a passionate geoscientist with a knack for remote sensing and data analysis, eager to apply your skills to the dynamic field of mining in a fully remote capacity, we encourage you to apply. This is an exceptional opportunity to contribute to significant geological projects without geographical constraints.
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Graduate Data Analyst - AI & Machine Learning
Posted today
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Job Description
Our client is looking for enthusiastic and bright Graduate Data Analysts to join their pioneering AI & Machine Learning team in a fully remote, internship capacity. This is an exceptional opportunity for recent graduates to gain hands-on experience in the exciting fields of data science, artificial intelligence, and machine learning. You will work closely with experienced data scientists and engineers, contributing to real-world projects that involve data cleaning, feature engineering, model development, and performance evaluation. The ideal candidate will possess a strong foundation in statistics, mathematics, and programming, with a keen interest in developing skills in Python or R, and machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch. You will be involved in extracting insights from large datasets, building predictive models, and assisting in the deployment of AI solutions. As a remote intern, you will benefit from a flexible work environment and access to online learning resources, with regular virtual mentorship sessions and team meetings to ensure guidance and integration. We are seeking individuals who are highly curious, eager to learn, and possess excellent analytical and problem-solving abilities. The ability to communicate technical findings clearly, both verbally and in writing, is also essential. This internship provides a stepping stone for a career in data science and AI, offering exposure to cutting-edge technologies and a supportive learning environment. You will have the chance to apply theoretical knowledge to practical challenges and contribute to innovative projects that are shaping the future of technology. This role is perfect for driven individuals looking to kickstart their career in a rapidly evolving industry.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets.
- Perform exploratory data analysis (EDA) to identify patterns and trends.
- Develop and train machine learning models under guidance.
- Evaluate model performance and provide insights for improvement.
- Assist in feature engineering and selection for predictive models.
- Collaborate with senior data scientists on various AI/ML projects.
- Document methodologies, findings, and results of analyses.
- Learn and apply new data science and machine learning techniques.
- Participate in team meetings and contribute to discussions.
- Support in the visualization of data and model outcomes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (recent graduates welcome).
- Solid understanding of statistical concepts and their application.
- Proficiency in at least one programming language commonly used in data science (e.g., Python, R).
- Familiarity with machine learning concepts and libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong analytical and problem-solving skills.
- Excellent written and verbal communication skills.
- Eagerness to learn and adapt to new technologies.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for AI and machine learning.
- A proactive and curious mindset.
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Remote Graduate Data Analyst - AI & Machine Learning Focus
Posted 5 days ago
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Job Description
Our client is seeking ambitious and intellectually curious Graduate Data Analysts to join their cutting-edge, fully remote program focused on Artificial Intelligence and Machine Learning. This is an exceptional opportunity for recent graduates to gain hands-on experience with real-world data challenges, working alongside experienced data scientists and engineers. You will be instrumental in collecting, cleaning, analyzing, and interpreting large datasets to uncover insights, build predictive models, and contribute to the development of innovative AI solutions.
Responsibilities:
Qualifications:
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Develop and implement basic machine learning models under the guidance of senior team members.
- Visualize data and model results using tools such as Python libraries (Matplotlib, Seaborn) or Tableau.
- Collaborate with data scientists and engineers on feature engineering and model selection.
- Document methodologies, findings, and code for reproducibility and knowledge sharing.
- Participate in regular team meetings and contribute to project discussions.
- Learn and apply new data analysis techniques and tools relevant to AI/ML.
- Assist in the testing and validation of AI/ML models.
- Contribute to the overall data strategy and innovation efforts.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis techniques.
- Basic programming skills in Python or R, including experience with relevant data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Familiarity with machine learning concepts and algorithms is highly desirable.
- Exposure to data visualization tools.
- Strong analytical and problem-solving abilities.
- Excellent communication and teamwork skills, essential for remote collaboration.
- Proactive attitude and eagerness to learn and take on new challenges.
- Self-motivated and able to manage tasks effectively in a remote environment.
- A genuine interest in AI and Machine Learning.
This paid internship offers invaluable experience in a rapidly growing field, providing mentorship and real project involvement. The role is fully remote, supporting our strategic interests in the Meru, Meru, KE region.
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Lead Geologist - Remote Sensing & Data Analysis (Remote)
Posted 21 days ago
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Job Description
Our client, a pioneering company in resource exploration and environmental monitoring, is seeking a Lead Geologist with expertise in remote sensing and data analysis to join their innovative team. This is a fully remote role, allowing you to contribute your geological insights from anywhere. You will be responsible for leveraging satellite imagery, aerial photography, and other remote sensing data to identify and analyze geological formations, mineral deposits, and environmental changes. Your primary focus will be on developing and implementing advanced data analysis workflows to extract actionable geological information. Key responsibilities include processing and interpreting various types of remote sensing data, integrating this data with GIS and other geological datasets, and generating detailed geological maps and reports. You will lead projects focused on mineral exploration, resource assessment, and geological hazard monitoring using remote sensing techniques. The ideal candidate will possess a Master's or Ph.D. in Geology or a related field, with a strong specialization in remote sensing and GIS. Proven experience with geological software, image processing tools (e.g., ERDAS Imagine, ENVI), and statistical analysis packages is essential. Excellent analytical, problem-solving, and communication skills are required to effectively present findings to technical and non-technical audiences. This is a unique opportunity to apply cutting-edge technology to geological challenges and contribute significantly to resource management and environmental stewardship.
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Graduate Data Analyst - Machine Learning Specialization
Posted 11 days ago
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Job Description
Our client, a forward-thinking technology firm, is excited to offer a unique Graduate Data Analyst internship with a specialization in Machine Learning. This is a fully remote opportunity, providing invaluable experience to ambitious graduates eager to launch their careers in data science and AI. You will work closely with senior data scientists and engineers, contributing to real-world projects that leverage machine learning to solve complex business challenges. This internship is designed to provide comprehensive exposure to the data analysis lifecycle, from data collection and cleaning to model development, evaluation, and deployment. You will gain hands-on experience with cutting-edge tools and methodologies, developing a strong foundation in data-driven decision-making.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and implementation of machine learning models under the guidance of senior team members.
- Conduct literature reviews on relevant machine learning techniques and algorithms.
- Assist in the evaluation and validation of model performance.
- Develop data visualizations and reports to communicate findings to the team.
- Collaborate with team members on data-related tasks and projects.
- Learn and apply statistical methods and machine learning algorithms.
- Participate in team meetings and contribute to discussions on project progress and strategy.
- Gain practical experience with programming languages like Python and relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
- Strong foundation in statistical concepts and data analysis principles.
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in at least one programming language, preferably Python.
- Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
- Excellent analytical and problem-solving skills.
- Strong attention to detail and accuracy.
- Good communication and interpersonal skills, with the ability to work effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A genuine interest in data science, machine learning, and artificial intelligence.
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Graduate Data Analyst - Machine Learning Focus
Posted 21 days ago
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Job Description
Are you a recent graduate with a passion for data and a keen interest in machine learning? Our client is looking for a talented Graduate Data Analyst to join our fully remote, innovative team. This internship offers an exceptional opportunity to gain hands-on experience in a fast-paced, cutting-edge environment, working alongside experienced data scientists and analysts. You will be involved in various stages of the data analysis lifecycle, from data collection and cleaning to model development and performance evaluation. Your primary focus will be supporting the implementation and testing of machine learning models, helping to extract valuable insights from complex datasets. This is a remote-first role, designed to provide flexibility and allow you to contribute effectively from anywhere with a reliable internet connection. We are seeking candidates who are eager to learn, possess strong analytical and quantitative skills, and have a foundational understanding of statistical concepts and programming. Experience with Python or R, and familiarity with data visualization tools, would be a significant advantage. You will have the opportunity to work on real-world projects, contributing to data-driven decision-making processes within our organization. This internship is an excellent stepping stone for a career in data science or analytics. You will be mentored by senior team members who will guide you through challenging projects and provide constructive feedback. The role is based out of Kakamega, Kakamega, KE , but it is a fully remote opportunity, welcoming applications from across the globe.
Key Responsibilities:
Key Responsibilities:
- Assist in the collection, cleaning, and preprocessing of large datasets for analysis.
- Support the development and implementation of machine learning models under the guidance of senior staff.
- Perform exploratory data analysis to identify patterns, trends, and anomalies.
- Create data visualizations and reports to communicate findings effectively.
- Conduct statistical analysis and hypothesis testing.
- Collaborate with the data science team on various research and development projects.
- Document methodologies, code, and results clearly and concisely.
- Assist in the evaluation and validation of model performance.
- Learn and apply new data analysis techniques and tools.
- Participate in team meetings and contribute to project discussions.
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
- Strong foundation in statistical concepts and analytical techniques.
- Basic understanding of machine learning algorithms and principles.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with data manipulation libraries (e.g., Pandas, NumPy).
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau) is a plus.
- Excellent problem-solving and critical-thinking abilities.
- Strong attention to detail and accuracy.
- Good communication and teamwork skills, essential for remote collaboration.
- Enthusiasm for learning and a proactive attitude.
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6
Senior Exploration Geologist - Remote Sensing & Data Analysis (Remote)
Posted 6 days ago
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Job Description
Our client, a global leader in mineral exploration, is seeking a highly accomplished Senior Exploration Geologist with expertise in remote sensing and advanced data analysis. This is a fully remote position, offering the unique opportunity to leverage cutting-edge technology and drive discovery from anywhere in the world. You will be instrumental in identifying and evaluating new mineral prospects by integrating geological, geophysical, and satellite imagery data. The ideal candidate will possess a deep understanding of geological principles, coupled with significant experience in processing and interpreting multispectral and hyperspectral data, aerial photography, and LiDAR. Your responsibilities will include developing and implementing exploration strategies, managing geological databases, and conducting detailed geological mapping and modeling. You will work closely with exploration teams, providing critical data-driven insights to guide field activities and optimize resource allocation. We are looking for a proactive problem-solver with a strong analytical mindset and a proven ability to derive actionable conclusions from complex datasets. Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ENVI, ERDAS Imagine) is essential, along with experience in statistical analysis and machine learning techniques as applied to geological data. This role requires excellent communication skills to present findings and recommendations to stakeholders, including management and exploration teams. You will play a pivotal role in advancing our exploration efforts and contributing to the discovery of significant mineral deposits. Join our innovative team and contribute to the future of resource exploration through advanced data science and geological expertise. The focus of our geological surveys for this role is within regions relevant to **Ongata Rongai, Kajiado, KE**, but the position itself is entirely remote.
Responsibilities:
Responsibilities:
- Lead the application of remote sensing techniques and data analysis for mineral exploration.
- Process, interpret, and integrate various geospatial datasets, including satellite imagery, aerial photography, and LiDAR.
- Develop geological models and prospectivity maps using advanced analytical tools.
- Design and manage exploration programs, prioritizing targets based on data-driven insights.
- Collaborate with geophysicists, geochemists, and field geologists to synthesize data and refine exploration strategies.
- Prepare detailed technical reports, presentations, and recommendations for senior management.
- Stay abreast of new technologies and methodologies in remote sensing, GIS, and mineral exploration.
- Manage geological databases and ensure data integrity.
- Mentor junior geologists and contribute to a culture of technical excellence.
- Master's degree or Ph.D. in Geology, Earth Sciences, or a related field with a specialization in remote sensing or geophysics.
- Minimum of 10 years of progressive experience in mineral exploration geology.
- Extensive experience in processing and interpreting remote sensing data (e.g., Landsat, Sentinel, ASTER, hyperspectral).
- Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine).
- Strong knowledge of geological principles, mineral systems, and deposit types.
- Experience with statistical analysis, data mining, and potentially machine learning applied to geological data.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to present complex technical information clearly.
- Demonstrated ability to work independently and lead projects in a remote setting.
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Principal Geologist, Remote Sensing & Data Analysis
Posted 21 days ago
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Job Description
Our client, a global leader in mining exploration and resource management, is seeking a Principal Geologist with specialized expertise in remote sensing and advanced data analysis. This position is fully remote, offering a unique opportunity to work from anywhere while contributing to cutting-edge geological projects. You will be responsible for leading the interpretation of satellite imagery, aerial photography, and other geospatial data to identify and assess mineral exploration targets. Your role will involve developing and implementing sophisticated data processing workflows, employing machine learning algorithms, and integrating diverse geological datasets to generate actionable insights. The ideal candidate will possess extensive experience in geological modeling, GIS software, and remote sensing technologies within the mining industry. You will collaborate closely with exploration teams, geophysicists, and data scientists to define exploration strategies and optimize resource discovery efforts. Strong analytical, problem-solving, and communication skills are crucial for presenting complex findings to technical and non-technical audiences. As a remote employee, you must be self-directed, highly organized, and capable of managing multiple projects concurrently in a virtual setting. You will contribute to scientific publications and present at industry conferences, showcasing the company's technological advancements in exploration. This is a challenging and rewarding opportunity to shape the future of mineral exploration through innovative applications of technology, impacting resource discovery worldwide. The successful candidate will demonstrate a proactive approach to identifying new technologies and methodologies to enhance exploration effectiveness. We are looking for a thought leader who can drive innovation in geological data interpretation and remote sensing applications. Your contributions will directly influence significant exploration campaigns and investment decisions. This role offers a high degree of autonomy and the chance to work on diverse and exciting projects across different geological settings. Join a team dedicated to pushing the boundaries of geological science and exploration through advanced digital tools and remote collaboration.
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Lead Geologist - Remote Sensing & Data Analysis
Posted 14 days ago
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Job Description
Our client, a prominent global mining consultancy, is actively recruiting a Lead Geologist with expertise in Remote Sensing and Data Analysis for a fully remote position. This role is critical in identifying and evaluating new mineral resource potentials across various geological terrains. You will spearhead the application of cutting-edge remote sensing technologies, including satellite imagery, LiDAR, and drone data, coupled with advanced data analytics, to interpret geological structures, mineralogy, and alteration patterns. Your primary focus will be on developing and implementing innovative methodologies for regional-scale exploration targeting, optimizing the efficiency and effectiveness of our client's exploration programs. The responsibilities include managing large geospatial datasets, performing complex spatial analysis, integrating diverse geological data sources, and generating actionable exploration recommendations. You will work collaboratively with a team of geoscientists, data scientists, and engineers located globally, contributing your specialized knowledge to high-impact projects. This position requires a strong background in structural geology, economic geology, and a deep understanding of various remote sensing techniques and their applications in mineral exploration. Proficiency in GIS software (e.g., ArcGIS, QGIS) and remote sensing software (e.g., ENVI, ERDAS Imagine) is essential. Experience with programming languages like Python or R for data analysis and automation is highly desirable. The successful candidate will demonstrate exceptional problem-solving abilities, a keen eye for detail, and the capacity to lead projects and mentor junior team members. This is an exceptional opportunity to shape the future of mineral exploration by leveraging advanced technologies and data-driven insights in a flexible, remote-first environment. Our client is committed to sustainability and responsible resource development, and your work will directly contribute to these principles, influencing exploration strategies in regions like Eldoret, Uasin Gishu, KE and beyond, while being based remotely.
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