5 Data Mining jobs in the United Kingdom
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Remote Geospatial Data Analyst (Mining)
DE1 3AE Derby, East Midlands
£45000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client, a prominent entity in the global mining industry, is seeking a skilled Remote Geospatial Data Analyst to join their operations. This is a fully remote position, offering the flexibility to work from anywhere in the UK. You will be instrumental in processing, analyzing, and visualizing vast amounts of geospatial data to support exploration, resource estimation, and mine planning activities. Your role will involve utilizing advanced GIS software and analytical techniques to identify geological trends, delineate mineralized zones, and create detailed maps and reports. This position requires a deep understanding of geological principles, proficiency in data analysis tools, and a commitment to delivering high-quality, actionable insights.
Key responsibilities:
The ideal candidate will hold a Bachelor's or Master's degree in Geology, Geosciences, Geography, or a related field, with a strong emphasis on GIS and data analysis. Proven experience (minimum 3 years) in applying geospatial techniques within the mining or exploration sector is essential. Proficiency in software such as ArcGIS, QGIS, and relevant data analysis tools (e.g., R, Python) is required. Excellent communication skills and the ability to work independently and manage time effectively in a remote setting are crucial for success in this role. This is a unique opportunity to contribute to significant mining projects from the comfort of your own home.
Key responsibilities:
- Process and analyze diverse geospatial datasets (satellite imagery, aerial photography, LiDAR, geological surveys).
- Develop and implement spatial models for resource exploration and assessment.
- Create high-quality maps, reports, and visualizations for geological interpretation.
- Collaborate remotely with geologists, exploration managers, and mine engineers.
- Ensure data accuracy, integrity, and compliance with industry standards.
- Utilize programming languages (e.g., Python) for data automation and analysis.
- Stay updated on the latest advancements in GIS technology and mining geosciences.
The ideal candidate will hold a Bachelor's or Master's degree in Geology, Geosciences, Geography, or a related field, with a strong emphasis on GIS and data analysis. Proven experience (minimum 3 years) in applying geospatial techniques within the mining or exploration sector is essential. Proficiency in software such as ArcGIS, QGIS, and relevant data analysis tools (e.g., R, Python) is required. Excellent communication skills and the ability to work independently and manage time effectively in a remote setting are crucial for success in this role. This is a unique opportunity to contribute to significant mining projects from the comfort of your own home.
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0
Remote Data Analyst - Mining Operations
ST1 1AA Staffordshire, West Midlands
£40000 Annually
WhatJobs
Posted 3 days ago
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Job Description
Our client, a global leader in the mining sector, is seeking a skilled Remote Data Analyst to support their operational efficiency from anywhere. This is a fully remote position, offering the flexibility to work from home while contributing vital insights to our mining operations. You will be responsible for collecting, processing, and analysing large datasets related to mining activities, including production, equipment performance, safety, and environmental impact. Your insights will help drive data-informed decision-making to optimise processes, improve resource allocation, and enhance overall operational outcomes.
Key responsibilities include developing and maintaining data pipelines, performing statistical analysis, creating insightful reports and dashboards using visualisation tools (e.g., Tableau, Power BI), and identifying trends and anomalies. You will collaborate closely with on-site operations teams, geologists, and engineers to understand their data needs and provide actionable recommendations. The ideal candidate will possess a strong quantitative background, with a degree in a relevant field such as Statistics, Data Science, Engineering, or a related discipline. Proven experience in data analysis, preferably within the mining, resources, or a similar industrial sector, is highly advantageous.
Proficiency in SQL, Python or R for data manipulation and analysis, and experience with data visualisation tools are essential. You should have excellent analytical, problem-solving, and communication skills, with the ability to present complex data in a clear and concise manner. Familiarity with mining-specific software or datasets is a plus. This role demands self-discipline, strong organisational skills, and the ability to work independently while meeting project deadlines. If you are a data-driven professional passionate about leveraging analytics to improve operational performance in a critical industry, we encourage you to apply for this remote opportunity.
Key responsibilities include developing and maintaining data pipelines, performing statistical analysis, creating insightful reports and dashboards using visualisation tools (e.g., Tableau, Power BI), and identifying trends and anomalies. You will collaborate closely with on-site operations teams, geologists, and engineers to understand their data needs and provide actionable recommendations. The ideal candidate will possess a strong quantitative background, with a degree in a relevant field such as Statistics, Data Science, Engineering, or a related discipline. Proven experience in data analysis, preferably within the mining, resources, or a similar industrial sector, is highly advantageous.
Proficiency in SQL, Python or R for data manipulation and analysis, and experience with data visualisation tools are essential. You should have excellent analytical, problem-solving, and communication skills, with the ability to present complex data in a clear and concise manner. Familiarity with mining-specific software or datasets is a plus. This role demands self-discipline, strong organisational skills, and the ability to work independently while meeting project deadlines. If you are a data-driven professional passionate about leveraging analytics to improve operational performance in a critical industry, we encourage you to apply for this remote opportunity.
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1
Remote Data Scientist - Mining Operations
L3 1DD Liverpool, North West
£55000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a global leader in the mining sector, is seeking a skilled Data Scientist to join their innovative team on a fully remote basis. This is an exceptional opportunity to leverage advanced analytics and machine learning techniques to optimize mining operations, enhance safety, and drive efficiency across international sites. You will work with vast datasets to uncover actionable insights and shape critical business decisions.
As a Data Scientist, you will be responsible for the end-to-end process of data analysis, from data acquisition and cleaning to model development and deployment. You will collaborate closely with operational teams, geologists, and engineers to identify key challenges and opportunities where data-driven solutions can make a significant impact. This role requires a strong understanding of statistical modeling, machine learning algorithms, and data visualization tools.
Key Responsibilities:
As a Data Scientist, you will be responsible for the end-to-end process of data analysis, from data acquisition and cleaning to model development and deployment. You will collaborate closely with operational teams, geologists, and engineers to identify key challenges and opportunities where data-driven solutions can make a significant impact. This role requires a strong understanding of statistical modeling, machine learning algorithms, and data visualization tools.
Key Responsibilities:
- Develop and implement predictive models to forecast equipment performance, operational efficiency, and resource extraction.
- Analyze large and complex datasets from various sources (e.g., sensor data, geological surveys, operational logs) to identify patterns and trends.
- Design and build machine learning pipelines for tasks such as anomaly detection, process optimization, and risk assessment.
- Create compelling data visualizations and reports to communicate findings to both technical and non-technical stakeholders.
- Collaborate with subject matter experts to define key performance indicators (KPIs) and data requirements.
- Implement and deploy models into production environments, monitoring their performance and iterating as needed.
- Stay current with the latest advancements in data science, machine learning, and big data technologies.
- Contribute to the development of data strategy and best practices within the organization.
- Ensure data integrity, quality, and security throughout all analytical processes.
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2
Remote Data Scientist (Mining Analytics)
LS1 1UR Leeds, Yorkshire and the Humber
£50000 Annually
WhatJobs
Posted 11 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is looking for a highly skilled and motivated Remote Data Scientist specializing in Mining Analytics. This fully remote position offers the opportunity to leverage vast datasets to drive operational efficiency, improve safety, and optimize resource extraction across diverse mining operations worldwide. The successful candidate will play a key role in developing advanced analytical models, implementing machine learning solutions, and translating complex data into actionable insights for strategic decision-making.
Key Responsibilities:
Qualifications:
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
Key Responsibilities:
- Develop and implement advanced statistical and machine learning models to analyze mining data, including geological, operational, and financial information.
- Identify patterns, trends, and anomalies in large datasets to uncover insights related to ore grade, production efficiency, equipment performance, and safety.
- Design and build data pipelines for data ingestion, cleaning, transformation, and feature engineering specifically for mining applications.
- Collaborate with geologists, engineers, and operational managers to understand their challenges and translate them into data science problems.
- Develop predictive models for equipment failure, resource estimation, and production forecasting.
- Create interactive dashboards and visualizations to communicate complex findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining sector.
- Ensure data quality, integrity, and security across all analytical processes.
- Contribute to the strategic roadmap for data analytics within the mining operations.
- Mentor junior data analysts and scientists.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field.
- Proven experience (minimum 5 years) as a Data Scientist with a strong focus on applying advanced analytics and machine learning techniques.
- Demonstrated experience in the mining or natural resources sector, with a deep understanding of mining processes and data types.
- Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with database technologies (SQL, NoSQL) and big data platforms (e.g., Spark).
- Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
- Excellent data visualization skills (e.g., Tableau, Power BI, Matplotlib).
- Exceptional problem-solving abilities and a curious, analytical mindset.
- Strong communication and interpersonal skills, with the ability to explain technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
This fully remote role offers a highly competitive salary, comprehensive benefits, and the opportunity to make a significant impact on global mining operations. Join a forward-thinking company at the forefront of technological innovation in the industry.
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3
Junior Mining Data Analyst
BN1 1AA East Sussex, South East
£20000 annum (pro
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
We are seeking an enthusiastic and detail-oriented Junior Mining Data Analyst to join our team in Brighton, East Sussex, UK . This is an excellent opportunity for someone looking to gain hands-on experience in the mining sector, analyzing vast datasets to support operational efficiency and strategic decision-making. Your primary responsibilities will include collecting, cleaning, and processing mining-related data from various sources, such as production logs, geological surveys, and equipment sensor data. You will assist in developing and maintaining databases and data warehouses. A key part of your role will be to perform statistical analysis, identify trends, and create visualizations and reports that communicate key insights to the management team. You will work with tools like SQL, Python (with libraries such as Pandas, NumPy, Matplotlib), and business intelligence software (e.g., Tableau, Power BI) to extract and present data. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail. While prior experience in the mining industry is not strictly required, a demonstrated interest in mining operations or natural resources is a plus. You should be comfortable working with large datasets and have a solid understanding of statistical principles. This is a hybrid role, requiring you to spend a few days a week in our Brighton office for collaborative work and meetings, with the flexibility to work remotely for the remaining days. A Bachelor's degree in Data Science, Statistics, Mining Engineering, Computer Science, or a related quantitative field is required. Proficiency in data manipulation and visualization tools is essential. Strong communication skills are needed to present findings effectively. This internship offers valuable exposure to the complexities of the mining industry and the application of data analytics in a practical setting. If you are eager to learn, contribute to meaningful projects, and kickstart your career in data analysis within the mining sector, we encourage you to apply.
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