What Jobs are available for Data Mining in the United Kingdom?
Showing 1182 Data Mining jobs in the United Kingdom
Senior Data Mining Analyst
BN1 1AA East Sussex, South East
£60000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking an experienced Senior Data Mining Analyst to join their growing analytics team, based in **Brighton, East Sussex, UK**. This role will involve extracting valuable insights from large datasets, developing predictive models, and driving data-informed decision-making across the organisation. The successful candidate will play a crucial role in uncovering hidden patterns, trends, and correlations that can significantly impact business strategy and performance. This hybrid role offers a blend of in-office collaboration and remote flexibility.
Key responsibilities:
Key responsibilities:
- Applying advanced data mining techniques to analyse complex datasets from various sources.
- Developing, testing, and deploying predictive models and machine learning algorithms.
- Identifying key trends, patterns, and anomalies within data to inform business strategy.
- Communicating complex findings and recommendations clearly to both technical and non-technical stakeholders through reports and presentations.
- Collaborating with business units to understand their data needs and translate them into analytical projects.
- Designing and implementing data exploration strategies to discover actionable insights.
- Evaluating and implementing new data mining tools and methodologies.
- Ensuring data quality and integrity throughout the analysis process.
- Mentoring junior analysts and contributing to the team's technical development.
- Staying abreast of the latest advancements in data mining, machine learning, and statistical analysis.
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0
Remote Senior Data Mining Engineer
NE1 4AG Newcastle upon Tyne, North East
£75000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is a pioneering company in the industrial technology sector, leveraging advanced data analytics to optimize complex operational processes. We are seeking an exceptional Senior Data Mining Engineer to join our fully remote data science team. This role is instrumental in extracting, cleaning, transforming, and analyzing vast datasets to uncover valuable insights, patterns, and predictive models. You will be responsible for designing and implementing data mining algorithms, developing machine learning models, and utilizing statistical techniques to solve challenging business problems. The ideal candidate will possess a strong foundation in computer science, statistics, and machine learning, with hands-on experience in big data technologies and distributed computing environments. Proficiency in programming languages such as Python or R, and experience with SQL and NoSQL databases are essential. You will work with large-scale datasets generated from industrial operations, requiring expertise in data warehousing, data lakes, and ETL processes. The ability to translate complex analytical findings into clear, actionable recommendations for stakeholders is crucial. As a senior member of the team, you will mentor junior engineers, contribute to the development of data mining best practices, and collaborate closely with domain experts to understand operational challenges. This role demands strong analytical, problem-solving, and critical thinking skills. You should be adept at working independently in a remote setting, managing multiple projects, and delivering high-quality results on time. A passion for discovering hidden value in data and driving innovation through data-driven solutions is highly valued. This is a unique opportunity to work on cutting-edge data mining projects with significant impact on industrial efficiency and performance.
Responsibilities:
Responsibilities:
- Design, develop, and implement data mining algorithms and machine learning models.
- Extract, clean, and transform large, complex datasets for analysis.
- Apply statistical techniques to identify patterns, trends, and anomalies.
- Develop predictive models to forecast operational outcomes and identify risks.
- Utilize big data technologies and distributed computing frameworks.
- Work with data warehousing, data lakes, and ETL processes.
- Collaborate with domain experts to understand business requirements and operational challenges.
- Mentor junior data scientists and engineers.
- Communicate complex analytical findings to technical and non-technical stakeholders.
- Contribute to the development and refinement of data mining methodologies and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
- 5+ years of experience in data mining, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong experience with SQL and NoSQL databases.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure).
- Knowledge of data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work effectively in a remote team environment.
- Strong communication and presentation skills.
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1
Senior Data Scientist - Mining Operations
BN1 1AD East Sussex, South East
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client, a global leader in resource extraction and processing, is seeking an exceptional Senior Data Scientist to drive innovation within their mining operations. This is a fully remote role, offering the flexibility to work from anywhere within the UK. You will leverage your advanced analytical skills and expertise in machine learning and statistical modeling to unlock critical insights from vast datasets generated by our mining sites. The focus will be on optimizing extraction processes, improving safety, predicting equipment failures, and enhancing overall operational efficiency. You will collaborate closely with geologists, engineers, and operational managers worldwide, translating complex data findings into actionable strategies that have a tangible impact on our business. The ideal candidate will possess a strong academic background, extensive practical experience in applying data science to industrial challenges, and a proven ability to communicate complex technical concepts effectively.
Key Responsibilities:
Qualifications and Skills:
Key Responsibilities:
- Develop and deploy advanced machine learning models and statistical algorithms to address key challenges in mining operations, such as ore grade prediction, production forecasting, and equipment reliability.
- Analyze large, complex datasets from various sources, including geological surveys, sensor data, production logs, and maintenance records.
- Design and implement data pipelines and workflows for data preprocessing, feature engineering, and model training.
- Evaluate and benchmark model performance, iterating and refining solutions for optimal results.
- Collaborate with cross-functional teams (geology, engineering, operations) to identify data-driven opportunities and translate business needs into data science problems.
- Communicate findings and recommendations clearly and concisely to both technical and non-technical stakeholders through visualizations, reports, and presentations.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining industry.
- Mentor junior data scientists and contribute to building a data-driven culture within the organization.
- Ensure the ethical and responsible use of data and AI technologies.
Qualifications and Skills:
- Ph.D. or Master's degree in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, Physics, or a related discipline.
- 5+ years of professional experience in data science, with a significant focus on applied machine learning and statistical modeling.
- Proven experience working with large, complex datasets and developing predictive models in an industrial or operational setting.
- Proficiency in programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and R.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Strong understanding of time series analysis, anomaly detection, and optimization techniques.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to work independently and proactively in a remote environment.
- Domain knowledge in mining or related extractive industries is a strong plus.
- This is a 100% remote position, allowing you to work from any location.
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2
Lead Data Scientist - Mining Analytics (Remote)
AB10 1AA Aberdeen, Scotland
£85000 Annually
WhatJobs Direct
Posted 5 days ago
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Job Description
Our client, a global leader in the mining sector, is seeking a highly skilled Lead Data Scientist to spearhead their data analytics initiatives. This is a fully remote position, empowering you to drive innovation in mining operations from anywhere. You will be responsible for leading the development and deployment of advanced analytical models and machine learning solutions to optimize various aspects of mining, including exploration, production, safety, maintenance, and resource management. Your expertise will be crucial in extracting actionable insights from vast datasets generated by sensors, operational systems, and geological surveys. Key responsibilities include defining data strategy, overseeing data collection and preparation, designing and implementing predictive models, mentoring a team of data scientists and analysts, and collaborating closely with operational and technical stakeholders to translate data insights into business value. You will champion data-driven decision-making across the organization.
The ideal candidate will hold a Master's or PhD in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field, with a minimum of 7 years of experience in data science, including significant experience in the mining or natural resources industry. Proven experience in leading data science projects and teams is essential. Expertise in programming languages such as Python or R, along with proficiency in SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP) is required. Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools is crucial. Excellent communication, leadership, and problem-solving skills are paramount for effectively influencing stakeholders and driving impactful data-driven strategies in this remote capacity.
The ideal candidate will hold a Master's or PhD in Data Science, Statistics, Computer Science, Mining Engineering, or a related quantitative field, with a minimum of 7 years of experience in data science, including significant experience in the mining or natural resources industry. Proven experience in leading data science projects and teams is essential. Expertise in programming languages such as Python or R, along with proficiency in SQL, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, Azure, GCP) is required. Strong knowledge of machine learning algorithms, statistical modeling, and data visualization tools is crucial. Excellent communication, leadership, and problem-solving skills are paramount for effectively influencing stakeholders and driving impactful data-driven strategies in this remote capacity.
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3
Remote Senior Data Scientist - Mining Analytics
LS1 1AB Leeds, Yorkshire and the Humber
£75000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in resource extraction, is seeking a highly skilled and innovative Remote Senior Data Scientist to spearhead their analytics initiatives within the mining sector. Operating entirely remotely, you will leverage vast datasets to uncover insights, optimize operations, and drive significant improvements across exploration, production, and safety. This role demands a sophisticated understanding of data science methodologies, machine learning, and a strong ability to translate complex analytical findings into actionable business strategies for the mining industry.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms to solve complex problems in mining operations (e.g., resource estimation, predictive maintenance, operational efficiency, safety monitoring).
- Explore and analyze large, complex datasets from various sources, including geological surveys, sensor data, operational logs, and financial records.
- Identify opportunities to apply data science techniques to improve decision-making across exploration, mine planning, production, and logistics.
- Develop and maintain data pipelines, ensuring data quality and integrity for analytical purposes.
- Collaborate closely with geologists, engineers, and operations managers to understand their challenges and translate them into data science problems.
- Communicate complex analytical results and recommendations clearly and concisely to both technical and non-technical stakeholders through visualizations and reports.
- Mentor junior data scientists and contribute to the advancement of the data science practice within the organization.
- Stay current with the latest advancements in data science, machine learning, AI, and their applications in the mining industry.
- Contribute to the development and implementation of data governance and best practices.
- Build and deploy models into production environments, monitoring their performance and iterating as needed.
- PhD or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
- A minimum of 7 years of progressive experience as a Data Scientist, with a strong focus on applying advanced analytics and machine learning in industrial or resource-based sectors.
- Proven expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
- Strong experience with SQL and working with large relational and non-relational databases.
- Demonstrated experience in deploying machine learning models into production environments.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark) is highly desirable.
- Excellent understanding of statistical modeling, data mining, and machine learning techniques.
- Exceptional problem-solving, analytical, and critical thinking skills.
- Outstanding communication, presentation, and interpersonal skills, with the ability to influence stakeholders.
- Experience or a strong understanding of the mining industry and its operational challenges is a significant advantage.
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4
Remote Lead Data Scientist - Mining Analytics
SO14 0DE Southampton, South East
£90000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in resource extraction, is seeking an accomplished Lead Data Scientist to spearhead their advanced analytics initiatives within the mining sector. This is a fully remote position, offering the flexibility to work from anywhere, while driving innovation and extracting valuable insights from vast datasets. You will be responsible for designing, developing, and deploying sophisticated machine learning models and data-driven solutions to optimize exploration, extraction, safety, and operational efficiency across mining operations worldwide. Your role will involve leading a team of data scientists and analysts, mentoring them, and fostering a collaborative, high-performance culture. Key responsibilities include identifying opportunities for data science application, defining project scope, and overseeing the entire analytics lifecycle from data acquisition and cleaning to model building, validation, and implementation. Expertise in areas such as predictive maintenance, geological modeling, resource estimation, supply chain optimization, and environmental monitoring using data science techniques is crucial. You will collaborate closely with geologists, engineers, operations managers, and executive leadership to translate business challenges into data science solutions and communicate complex findings effectively. The ideal candidate will possess exceptional analytical and problem-solving skills, a deep understanding of statistical methods and machine learning algorithms, and strong programming proficiency in languages like Python or R. Experience with big data technologies and cloud platforms is essential. This role demands strategic thinking, strong leadership qualities, and a passion for leveraging data to transform the mining industry.
Key Responsibilities:
Key Responsibilities:
- Lead the development and implementation of advanced data science solutions for the mining industry.
- Build and mentor a high-performing team of data scientists and analysts.
- Design and deploy machine learning models for prediction, classification, and optimization.
- Analyze large, complex datasets from various mining operations.
- Identify key business challenges and translate them into data science projects.
- Collaborate with cross-functional teams to integrate data-driven insights into business processes.
- Oversee the entire data science lifecycle, from data preprocessing to model deployment and monitoring.
- Develop strategies for data governance, quality, and security.
- Communicate complex technical findings to non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and AI.
- Drive innovation and best practices in data analytics within the organization.
- Ph.D. or Master's degree in Data Science, Computer Science, Statistics, or a related quantitative field.
- Minimum of 7 years of experience in data science, with a significant portion in a leadership role.
- Proven experience applying machine learning and statistical modeling to real-world problems, preferably in the mining or resource sector.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
- Excellent understanding of data mining, data warehousing, and ETL processes.
- Exceptional analytical, problem-solving, and critical thinking skills.
- Strong leadership, communication, and interpersonal skills.
- Ability to work effectively in a fully remote, collaborative environment.
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5
Remote Mining Data Analyst
CF10 1AA Cardiff, Wales
£45000 annum (pro-
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is seeking a skilled and analytical Remote Mining Data Analyst to join their innovative team. This is a fully remote contract position, allowing you to leverage your expertise in data analysis within the mining sector from anywhere in the UK. The role focuses on interpreting complex geological and operational data to identify trends, optimize processes, and support strategic decision-making. You will be instrumental in transforming raw data into actionable insights that drive efficiency and profitability in mining operations.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and process large datasets from various mining operations, including exploration, production, and financial metrics.
- Develop and implement data models and algorithms to analyse mining performance, resource estimation, and operational efficiency.
- Identify patterns, trends, and anomalies within data to provide insights into geological formations, ore grades, and extraction yields.
- Create compelling data visualisations, dashboards, and reports to communicate findings to stakeholders with varying technical backgrounds.
- Collaborate with geologists, engineers, and management to understand their data needs and provide tailored analytical solutions.
- Monitor key performance indicators (KPIs) and provide recommendations for improvement.
- Develop predictive models for equipment maintenance, production forecasts, and market trends.
- Ensure data integrity and accuracy throughout the analysis process.
- Stay up-to-date with the latest data analysis tools and techniques relevant to the mining industry.
- Contribute to the development of data-driven strategies for resource management and operational enhancement.
- Bachelor's or Master's degree in Data Science, Statistics, Mining Engineering, Geology, or a related quantitative field.
- Proven experience as a Data Analyst, preferably within the mining or natural resources sector.
- Strong proficiency in data analysis software such as Python (Pandas, NumPy, Scikit-learn), R, or SQL.
- Experience with data visualisation tools like Tableau, Power BI, or similar.
- Familiarity with geological software and mining databases is a plus.
- Excellent analytical and problem-solving skills.
- Strong communication skills, with the ability to explain complex data insights clearly and concisely.
- Ability to work independently, manage multiple projects, and meet deadlines in a remote environment.
- A dedicated home office setup with reliable high-speed internet access.
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6
Remote Mining Data Analyst
CV1 1DA Coventry, West Midlands
£55000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is seeking a highly analytical and experienced Mining Data Analyst to join their fully remote team. This role is critical for leveraging vast amounts of data to provide actionable insights that drive operational efficiency, safety, and profitability across various mining projects. You will be responsible for collecting, cleaning, processing, and analysing complex datasets related to exploration, extraction, processing, and market trends. Utilizing advanced statistical methods and data visualization tools, you will identify key performance indicators, detect anomalies, and build predictive models to forecast outcomes and mitigate risks. The ideal candidate will have a strong background in data science, a deep understanding of mining operations, and the ability to communicate technical findings effectively to both technical and non-technical stakeholders. This position offers the unique advantage of working remotely, providing a flexible work environment while contributing to significant strategic decisions within the mining sector.
Key Responsibilities:
Key Responsibilities:
- Collect, clean, and transform large datasets from various mining operations and sources.
- Develop and implement statistical models and machine learning algorithms for data analysis and prediction.
- Create compelling data visualizations and reports to communicate findings and insights to management and operational teams.
- Identify trends, patterns, and correlations within mining data to optimize exploration, production, and resource management.
- Monitor key performance indicators (KPIs) and provide recommendations for improvement.
- Collaborate with geologists, engineers, and operations managers to understand data needs and deliver relevant analytical solutions.
- Develop and maintain data dictionaries and documentation for analytical processes.
- Stay current with advancements in data analytics, data science, and mining technologies.
- Ensure data integrity, accuracy, and security throughout all analytical processes.
- Support decision-making by providing data-driven insights and forecasting.
- Master's or Ph.D. in Data Science, Statistics, Mining Engineering, Geostatistics, or a related quantitative field.
- Proven experience as a Data Analyst or Data Scientist, preferably within the mining or natural resources sector.
- Proficiency in programming languages such as Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy).
- Strong knowledge of SQL for database querying and management.
- Experience with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.
- Familiarity with statistical modeling, machine learning techniques, and predictive analytics.
- Understanding of mining processes, geology, and exploration techniques is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data insights clearly.
- Ability to work independently and manage projects effectively in a remote setting.
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7
Remote Geological Surveyor & Data Analyst - Mining Operations
B3 2PU Birmingham, West Midlands
£60000 Annually
WhatJobs Direct
Posted 1 day ago
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Job Description
Our client is a leading entity in the global mining sector, seeking a highly analytical and experienced Remote Geological Surveyor & Data Analyst to join their forward-thinking operations team. This fully remote position allows you to contribute your expertise from anywhere, focusing on the meticulous analysis of geological data to inform exploration and extraction strategies. You will be instrumental in interpreting complex datasets, identifying valuable mineral deposits, and optimizing resource management through advanced analytical techniques. This role is crucial for ensuring the efficiency and sustainability of our mining ventures.
Key Responsibilities:
Key Responsibilities:
- Conduct remote analysis of geological survey data, including seismic, geophysical, and geochemical information.
- Utilize advanced software and modeling techniques to identify and delineate potential mineral deposits.
- Interpret borehole data, core samples, and other geological information to assess resource quality and quantity.
- Develop geological models and reports to support exploration and mine planning decisions.
- Collaborate virtually with on-site geologists, mining engineers, and other stakeholders to provide critical data insights.
- Monitor and analyze geological trends and changes in existing mining sites to predict potential challenges or opportunities.
- Maintain and manage large geological databases, ensuring data integrity and accessibility.
- Contribute to the development of exploration strategies and risk assessments.
- Stay abreast of new technologies and methodologies in geological surveying and data analysis.
- Prepare comprehensive presentations and reports for management and technical teams.
- Ensure compliance with relevant environmental and safety regulations in data interpretation and reporting.
- MSc or PhD in Geology, Geophysics, Mining Engineering, or a closely related field.
- Significant experience (7+ years) in geological surveying, data analysis, and mineral resource exploration.
- Expertise in geological modeling software (e.g., Leapfrog, Vulcan, Micromine) and data analysis tools.
- Proven ability to interpret and analyze diverse geological datasets from various sources.
- Strong understanding of mining operations, exploration techniques, and resource estimation.
- Excellent analytical and problem-solving skills with a keen eye for detail.
- Proficiency in data visualization and reporting.
- Exceptional written and verbal communication skills, suitable for remote collaboration.
- Demonstrated ability to work independently and manage time effectively in a remote setting.
- Familiarity with GIS software is highly desirable.
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8
Remote Senior Data Scientist - Mining Operations Optimization
CF10 1WA Cardiff, Wales
£75000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is seeking a highly skilled and experienced Remote Senior Data Scientist to drive innovation and efficiency through advanced analytics. This is a fully remote position, allowing you to work from anywhere within the UK. You will be instrumental in leveraging large datasets from our mining operations to develop predictive models, optimize processes, and uncover actionable insights that enhance safety, productivity, and sustainability. The ideal candidate will have a strong background in statistical modeling, machine learning, and a passion for applying data science techniques to solve complex real-world problems in the resource sector. You will collaborate with cross-functional teams, including geologists, engineers, and operational managers, to translate data-driven findings into tangible business improvements.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical models and machine learning algorithms to analyze diverse operational data, including geological surveys, equipment performance, production output, and safety records.
- Identify opportunities for process optimization within mining operations, such as predictive maintenance for heavy machinery, yield enhancement, and energy efficiency improvements.
- Design and conduct experiments to test hypotheses and validate model performance.
- Collaborate with domain experts to define problem statements, gather requirements, and ensure the practical applicability of data-driven solutions.
- Create compelling data visualizations and reports to communicate complex findings to both technical and non-technical stakeholders.
- Mentor junior data scientists and contribute to the development of the data science practice within the organization.
- Stay current with the latest research and advancements in data science, machine learning, and their applications in the mining industry.
- Ensure data quality and integrity throughout the analytical process.
- Develop and deploy machine learning models into production environments.
- Contribute to the strategic direction of data science initiatives within the company.
- Master's or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Mathematics, or a related discipline.
- 5+ years of professional experience in data science, with a proven track record of delivering impactful analytical solutions.
- Expertise in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Proficiency in SQL and experience working with large, complex datasets.
- Strong understanding of statistical modeling, machine learning techniques (regression, classification, clustering, time series analysis), and deep learning.
- Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.
- Excellent communication and presentation skills, with the ability to explain technical concepts clearly.
- Experience in the mining or natural resources sector is highly desirable.
- Ability to work independently and manage projects effectively in a remote setting.
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