1,318 Data Mining jobs in the United Kingdom
Senior Data Mining Analyst
BN1 1AA East Sussex, South East
£60000 Annually
WhatJobs
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 Scientist (Mining)
B3 1JU Birmingham, West Midlands
£80000 Annually
WhatJobs
Posted 8 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist to join their innovative team, focusing on advanced analytics within the mining industry. This is a fully remote position, offering the flexibility to work from anywhere within the UK. You will be at the forefront of leveraging large datasets to extract actionable insights, optimize mining operations, predict equipment failures, enhance safety protocols, and improve resource exploration. The ideal candidate will have a deep understanding of statistical modeling, machine learning algorithms, and data visualization techniques, coupled with specific experience in applying these skills to mining-related challenges. You will work closely with geologists, engineers, and operational teams to identify key business questions and translate them into data-driven solutions. Responsibilities include developing and deploying predictive models, designing and conducting A/B tests, building robust data pipelines, and communicating complex findings to both technical and non-technical audiences. Proficiency in programming languages such as Python or R, and experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP) are essential. This role demands a proactive individual with a passion for data, a strong problem-solving aptitude, and the ability to thrive in a collaborative, remote-first environment.
Responsibilities:
Responsibilities:
- Develop and implement advanced statistical and machine learning models to solve complex mining-related problems.
- Analyze large datasets from various sources (e.g., geological surveys, sensor data, operational logs) to identify trends and insights.
- Design, build, and maintain scalable data pipelines and analytical workflows.
- Create compelling data visualizations and dashboards to communicate findings to stakeholders.
- Collaborate with cross-functional teams, including geologists, engineers, and operations managers, to define data requirements and drive data-informed decision-making.
- Stay current with the latest advancements in data science, machine learning, and AI, and explore their applicability to the mining sector.
- Mentor junior data scientists and contribute to the team's technical growth.
- Ensure data quality and integrity throughout the analytical process.
- Effectively communicate complex technical concepts to non-technical audiences.
- MSc or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of professional experience as a Data Scientist, with a proven track record of delivering impactful data-driven solutions.
- Strong experience in machine learning techniques (e.g., regression, classification, clustering, time-series analysis).
- Proficiency in Python or R and associated data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Demonstrable experience in applying data science to the mining industry is highly preferred.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
This advertiser has chosen not to accept applicants from your region.
1
Lead Data Scientist - Mining Analytics
BS1 4AA Bristol, South West
£70000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a forward-thinking mining corporation, is seeking an exceptional Lead Data Scientist to spearhead their data analytics initiatives. This fully remote position offers a unique opportunity to leverage advanced data science techniques to drive efficiency, sustainability, and innovation across their global mining operations. You will be responsible for developing and implementing sophisticated analytical models that extract actionable insights from vast datasets related to geological exploration, operational performance, equipment maintenance, safety, and environmental impact. Your role will involve leading a team of data scientists and collaborating closely with domain experts in geology, engineering, and operations to identify key challenges and opportunities where data-driven solutions can make a significant difference. This includes building predictive models for resource estimation, optimising extraction processes, forecasting equipment failures, and enhancing safety protocols. You will design and deploy machine learning algorithms, utilise statistical modelling techniques, and work with big data technologies to process and analyse complex information. The ideal candidate will have a strong background in applied data science, machine learning, and statistical analysis, with a proven ability to translate complex findings into clear, actionable recommendations for business leaders. As a Lead Data Scientist, you will also play a key role in shaping the company's data strategy, mentoring junior team members, and fostering a data-centric culture. This role is fully remote, demanding excellent self-management, communication, and collaboration skills to work effectively within a distributed global team. If you are passionate about using data to transform an industry and looking for a challenging leadership role with significant impact, we invite you to apply.
Responsibilities:
Responsibilities:
- Lead the development and deployment of data science models and machine learning algorithms.
- Analyse large, complex datasets from mining operations to identify trends and insights.
- Build predictive models for resource estimation, operational efficiency, and equipment maintenance.
- Collaborate with domain experts to define analytical requirements and deliver solutions.
- Design and implement data pipelines and analytical frameworks.
- Mentor and guide junior data scientists and analysts.
- Communicate findings and recommendations to stakeholders at all levels.
- Drive the adoption of data-driven decision-making across the organisation.
- Stay current with advancements in data science, machine learning, and AI.
- Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience in data science or machine learning, with a proven track record of delivering impactful solutions.
- Expertise in programming languages such as Python or R, and libraries like Scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL and experience with big data technologies (e.g., Spark, Hadoop).
- Strong understanding of statistical modelling, predictive analytics, and machine learning techniques.
- Experience in the mining or natural resources sector is highly desirable.
- Excellent problem-solving, analytical, and critical thinking skills.
- Superior communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences.
- Demonstrated ability to lead projects and mentor team members in a remote environment.
This advertiser has chosen not to accept applicants from your region.
2
Senior Data Scientist - Mining & Exploration
EH1 1SR Edinburgh, Scotland
£80000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a forward-thinking leader in the mining sector, is seeking an accomplished Senior Data Scientist to drive innovation in exploration and resource analysis. This role offers a hybrid working arrangement, blending focused remote work with essential collaborative sessions at our offices in Edinburgh, Scotland, UK . You will leverage advanced analytical techniques, machine learning, and statistical modeling to unlock insights from vast geological and operational datasets, ultimately guiding strategic decision-making in resource identification and extraction.
Key Responsibilities:
Qualifications and Experience:
This is a pivotal role for an expert in data science seeking to apply their skills to impactful challenges in the natural resources sector. If you are a strategic thinker driven by data, we encourage you to apply.
Key Responsibilities:
- Develop and deploy sophisticated data models and machine learning algorithms for geological data analysis, predictive modeling, and resource estimation.
- Process, clean, and transform large, complex datasets from various sources (e.g., seismic, drilling, geophysical, operational).
- Collaborate with geologists, geophysicists, and engineers to understand data needs and translate business problems into analytical solutions.
- Design and implement A/B testing frameworks and statistical analyses to evaluate new exploration strategies.
- Create insightful data visualizations and dashboards to communicate findings to technical and non-technical stakeholders.
- Stay abreast of the latest advancements in data science, machine learning, and their applications in the mining and exploration industry.
- Mentor junior data scientists and contribute to building the team's analytical capabilities.
- Ensure data quality, integrity, and security across all analytical projects.
- Contribute to the development of data infrastructure and best practices within the organization.
- Identify opportunities for data-driven improvements in exploration targeting and operational efficiency.
- Present findings and recommendations to senior management and key stakeholders.
Qualifications and Experience:
- Master's or PhD in Data Science, Statistics, Computer Science, Geosciences, or a related quantitative field.
- Proven track record of 5+ years in a Data Scientist role, with significant experience in applying ML/AI to complex datasets.
- Expertise in Python or R, and proficiency with data manipulation and analysis libraries (e.g., Pandas, NumPy, Scikit-learn).
- Strong experience with SQL and working with large relational and non-relational databases.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
- Knowledge of geological or mining industry data is highly desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex results clearly.
- Ability to work effectively in a hybrid team environment.
This is a pivotal role for an expert in data science seeking to apply their skills to impactful challenges in the natural resources sector. If you are a strategic thinker driven by data, we encourage you to apply.
This advertiser has chosen not to accept applicants from your region.
3
Lead Data Scientist - Mining Operations
RG1 1AA Reading, South East
£70000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking a highly skilled Lead Data Scientist to spearhead data-driven initiatives within their global mining operations, operating on a fully remote basis. This pivotal role will involve leveraging advanced analytics, machine learning, and statistical modelling to extract actionable insights from vast datasets related to exploration, extraction, and processing. You will be responsible for defining the data science strategy, leading a team of data scientists and analysts, and collaborating closely with operational teams to identify opportunities for optimisation, risk mitigation, and efficiency gains. The ideal candidate will possess a strong background in predictive modelling, anomaly detection, time-series analysis, and optimisation techniques, applied within an industrial or resource sector context. Key responsibilities include developing and deploying machine learning models, designing data pipelines, and communicating complex findings to both technical and non-technical stakeholders. You will mentor junior team members, champion best practices in data science, and stay at the forefront of emerging technologies and methodologies. This position requires exceptional problem-solving skills, a deep understanding of the mining lifecycle, and the ability to translate business challenges into data science problems. While the role is fully remote, you must possess excellent communication and collaboration skills to work effectively with diverse teams across different time zones. A proactive, self-driven approach and a passion for uncovering hidden patterns in data are essential. This is a unique opportunity to apply cutting-edge data science techniques to a critical global industry and drive significant operational improvements.
Key Responsibilities:
Key Responsibilities:
- Lead the development and deployment of machine learning models for mining operations.
- Define and execute the data science roadmap for operational improvements.
- Analyse large datasets to identify trends, patterns, and insights.
- Develop predictive models for equipment failure, resource yield, and safety.
- Design and implement data processing pipelines and infrastructure.
- Collaborate with geologists, engineers, and operational managers.
- Communicate complex analytical findings to stakeholders.
- Mentor and guide junior data scientists and analysts.
- Stay abreast of advancements in AI, machine learning, and data science.
- Champion data-driven decision-making across the organisation.
- MSc or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
- Extensive experience as a Data Scientist, with a focus on machine learning and statistical modelling.
- Proven experience in leading data science projects and teams.
- Proficiency in Python or R, and relevant data science libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Strong understanding of data mining, predictive analytics, and optimisation techniques.
- Familiarity with the mining or natural resources sector is a strong advantage.
- Excellent communication, presentation, and interpersonal skills.
- Demonstrated ability to work effectively in a remote, collaborative environment.
This advertiser has chosen not to accept applicants from your region.
4
Remote Senior Data Scientist - Mining Analytics
M1 1AN Manchester, North West
£70000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced and innovative Remote Senior Data Scientist to drive advanced analytics within the mining sector. This is a fully remote position, offering the opportunity to work from anywhere within the UK. You will play a pivotal role in developing and implementing sophisticated data models and algorithms to optimize exploration, extraction, and operational efficiency in mining processes. The ideal candidate will possess a strong statistical background, expertise in machine learning, and a deep understanding of the challenges and opportunities within the global mining industry.
As a Senior Data Scientist, you will lead complex data projects, from data acquisition and cleaning to model development, validation, and deployment. You will collaborate closely with geologists, engineers, and operational managers to translate business needs into data-driven solutions. Your ability to interpret intricate datasets, communicate findings effectively to both technical and non-technical stakeholders, and contribute to strategic decision-making will be critical. This role requires a proactive approach to identifying new analytical opportunities and a commitment to pushing the boundaries of data science in a challenging environment.
Key Responsibilities:
As a Senior Data Scientist, you will lead complex data projects, from data acquisition and cleaning to model development, validation, and deployment. You will collaborate closely with geologists, engineers, and operational managers to translate business needs into data-driven solutions. Your ability to interpret intricate datasets, communicate findings effectively to both technical and non-technical stakeholders, and contribute to strategic decision-making will be critical. This role requires a proactive approach to identifying new analytical opportunities and a commitment to pushing the boundaries of data science in a challenging environment.
Key Responsibilities:
- Design, develop, and implement advanced statistical models and machine learning algorithms for mining operations (e.g., resource estimation, predictive maintenance, process optimization, safety analytics).
- Collect, clean, and transform large, complex datasets from various sources (e.g., geological surveys, sensor data, production logs, operational systems).
- Perform exploratory data analysis to identify trends, patterns, and insights relevant to mining operations.
- Build and deploy predictive models and analytical solutions into production environments.
- Evaluate and benchmark model performance, iterating to improve accuracy and efficiency.
- Collaborate with cross-functional teams, including geoscientists, engineers, and operations personnel, to understand data needs and deliver actionable insights.
- Communicate complex analytical findings and recommendations clearly and concisely to both technical and executive audiences through reports, presentations, and visualizations.
- Mentor junior data scientists and contribute to the overall growth of the data science team and best practices.
- Stay abreast of the latest advancements in data science, machine learning, and their applications within the mining industry.
- Identify opportunities for leveraging new data sources and analytical techniques to drive business value.
- Contribute to the development of data infrastructure and tooling.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- 5+ years of professional experience in data science, with a significant focus on applying advanced analytical techniques to real-world problems.
- Proven experience in the mining, oil & gas, or a related heavy industry sector is highly desirable.
- Expertise in programming languages such as Python or R, and proficiency with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Strong knowledge of database technologies (SQL, NoSQL) and experience with big data platforms (e.g., Spark, Hadoop).
- Demonstrated experience in developing and deploying machine learning models.
- Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
- Strong analytical, problem-solving, and critical-thinking skills.
- Excellent written and verbal communication skills, with the ability to explain complex concepts to diverse audiences.
- Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Ability to work independently and manage complex projects in a remote setting.
This advertiser has chosen not to accept applicants from your region.
5
Remote Lead Data Scientist - Mining Operations
BS1 6BG Bristol, South West
£70000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a leader in the mining industry, is seeking an experienced and innovative Lead Data Scientist to join their advanced analytics team. This is a pivotal role, operating entirely remotely, focusing on leveraging data to optimize mining operations, enhance safety, and drive efficiency. You will be instrumental in developing and deploying sophisticated data models and machine learning algorithms that address complex challenges within the mining sector. Your work will directly impact exploration strategies, resource management, and operational workflows, providing critical insights to stakeholders. As a Lead Data Scientist, you will guide a team of data professionals, mentor junior members, and champion data-driven decision-making across the organization. You will collaborate closely with geologists, engineers, and operational managers to translate business needs into actionable data science projects. This role requires a strong foundation in statistical analysis, programming (Python/R), big data technologies, and experience with cloud platforms (AWS/Azure/GCP). Responsibilities will include:
- Leading the design, development, and implementation of predictive models for resource estimation and operational forecasting.
- Developing and deploying machine learning solutions for anomaly detection, equipment failure prediction, and process optimization in mining environments.
- Managing and analyzing large, complex datasets from various sources, including sensor data, geological surveys, and production logs.
- Collaborating with domain experts to define key performance indicators and identify data-driven opportunities.
- Mentoring and guiding junior data scientists and analysts.
- Communicating complex findings and recommendations to technical and non-technical audiences.
- Staying abreast of the latest advancements in data science and machine learning relevant to the mining industry.
- Ensuring data quality, integrity, and security.
- MSc or PhD in Data Science, Computer Science, Statistics, Geosciences, or a related quantitative field.
- 7+ years of progressive experience in data science, with a significant portion focused on industrial applications.
- Proven experience in leading data science projects and teams.
- Expertise in Python or R, SQL, and relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data platforms (e.g., Spark, Hadoop) and cloud computing environments.
- Strong understanding of statistical modeling, machine learning techniques, and experimental design.
- Excellent problem-solving abilities and a keen eye for detail.
- Exceptional communication and presentation skills, capable of influencing senior leadership.
This advertiser has chosen not to accept applicants from your region.
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6
Senior Data Scientist - Mining Operations (Remote)
OX1 1PT Oxford, South East
£85000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a global leader in the mining industry, is seeking a highly skilled Senior Data Scientist to join their innovative, fully remote data analytics team. This role is instrumental in leveraging advanced data science techniques to optimize mining operations, improve safety, and enhance resource extraction efficiency. You will work with vast datasets from exploration, production, and operational systems to develop predictive models, identify key performance indicators, and generate actionable insights. Responsibilities include designing and implementing machine learning algorithms for predictive maintenance, process optimization, and geological modeling. You will collaborate closely with geologists, engineers, and operational managers to understand their challenges and translate them into data-driven solutions. A deep understanding of statistical modeling, machine learning, data mining, and programming (Python, R) is essential. Experience with big data technologies and cloud platforms is highly desirable. The ideal candidate will have a proven track record of delivering impactful data science solutions in an industrial or resource-focused environment, excellent problem-solving skills, and strong communication abilities to convey complex findings to diverse audiences. This is an exceptional opportunity to drive significant improvements in operational efficiency and sustainability within the mining sector through the power of data science, all within a flexible remote work structure. Responsibilities:
- Develop and deploy advanced statistical and machine learning models to optimize mining operations.
- Analyze large, complex datasets from various sources (e.g., geological surveys, operational sensors, production reports).
- Identify trends, patterns, and anomalies to drive process improvements and cost reductions.
- Build predictive models for equipment failure, production forecasts, and resource estimation.
- Collaborate with cross-functional teams to define data requirements and analytical objectives.
- Communicate complex findings and recommendations clearly to technical and non-technical stakeholders.
- Develop and maintain data pipelines and analytical workflows.
- Stay current with the latest advancements in data science and their applications in the mining industry.
- Mentor junior data scientists and contribute to the team's knowledge base.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field.
- Proven experience as a Data Scientist, with a focus on industrial or resource-based applications.
- Strong expertise in statistical modeling, machine learning algorithms, and data mining techniques.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP) is a plus.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation abilities.
- Ability to work effectively in a remote, collaborative team environment.
This advertiser has chosen not to accept applicants from your region.
7
Senior Remote Data Scientist - Mining Analytics
RG1 1DN Reading, South East
£70000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Join an innovative mining technology firm as a Senior Remote Data Scientist, driving advancements in operational efficiency and resource discovery through sophisticated data analysis. This position is entirely remote, allowing you to contribute your expertise from anywhere within the UK. You will be responsible for developing and implementing advanced analytical models to extract actionable insights from vast datasets related to geological surveys, exploration, extraction processes, and equipment performance. Your work will directly impact strategic decision-making in exploration targeting, mine planning, and operational optimization. The ideal candidate possesses a strong background in data science, machine learning, statistical modeling, and a deep understanding of the mining lifecycle. You will work with diverse data sources, including sensor data, GIS information, and operational logs, to build predictive models, identify patterns, and forecast trends. Proficiency in programming languages such as Python or R, along with experience in big data technologies (e.g., Spark, Hadoop) and database management (SQL), is essential. You will collaborate with geologists, mining engineers, and operational managers, translating complex findings into clear recommendations. Experience with geospatial analysis and visualization tools is highly advantageous. We seek a candidate with excellent problem-solving skills, a keen analytical mind, and the ability to communicate complex technical concepts to both technical and non-technical audiences. A proactive approach to identifying new analytical opportunities and a passion for applying data science to solve real-world challenges in the mining industry are crucial. This is an exceptional opportunity to make a significant impact in a crucial global industry from the convenience of a remote setup.
Responsibilities:
Responsibilities:
- Develop and deploy advanced statistical and machine learning models for mining applications.
- Analyze large, complex datasets to identify trends, patterns, and actionable insights.
- Collaborate with geologists and engineers to define analytical requirements and solutions.
- Build predictive models for ore body characterization, exploration targeting, and operational efficiency.
- Develop data visualization tools and dashboards to communicate findings.
- Work with big data platforms and technologies to manage and process extensive datasets.
- Stay abreast of the latest advancements in data science and mining technology.
- Communicate technical results effectively to diverse stakeholders.
- Contribute to the development of data-driven strategies for the mining operation.
- Ensure data quality, integrity, and security.
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field.
- Minimum of 5 years of experience in data science or a related analytical role.
- Proven experience applying machine learning and statistical modeling techniques.
- Strong proficiency in Python or R and SQL.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Knowledge of the mining industry and its data challenges is highly preferred.
- Experience with geospatial data analysis and visualization tools.
- Excellent analytical, problem-solving, and communication skills.
- Ability to work independently and manage multiple projects simultaneously in a remote setting.
This advertiser has chosen not to accept applicants from your region.
8
Remote Principal Data Scientist (Mining Operations)
M1 1AA Manchester, North West
£80000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client, a pioneering force in the global mining industry, is seeking a highly experienced and visionary Principal Data Scientist to join their fully remote analytics division. This is a unique opportunity to leverage advanced data science techniques to drive operational excellence, safety, and sustainability across our client's extensive mining operations worldwide. As a remote-first role, you will collaborate with global teams using cutting-edge collaboration tools and platforms.
You will be responsible for leading the development and deployment of sophisticated machine learning models and AI solutions to address complex challenges in areas such as predictive maintenance, ore grade prediction, geological modelling, exploration targeting, and operational efficiency optimization. This involves working with vast datasets from diverse sources, including sensor data, geological surveys, production reports, and satellite imagery. The Principal Data Scientist will mentor junior data scientists, drive research initiatives, and translate complex analytical findings into actionable strategies for operational stakeholders. A deep understanding of statistical modelling, big data technologies, and the specific challenges within the mining sector is crucial.
Key Responsibilities:
You will be responsible for leading the development and deployment of sophisticated machine learning models and AI solutions to address complex challenges in areas such as predictive maintenance, ore grade prediction, geological modelling, exploration targeting, and operational efficiency optimization. This involves working with vast datasets from diverse sources, including sensor data, geological surveys, production reports, and satellite imagery. The Principal Data Scientist will mentor junior data scientists, drive research initiatives, and translate complex analytical findings into actionable strategies for operational stakeholders. A deep understanding of statistical modelling, big data technologies, and the specific challenges within the mining sector is crucial.
Key Responsibilities:
- Lead the design, development, and implementation of advanced machine learning and AI models for mining operations.
- Analyze large, complex datasets from geological, operational, and sensor sources to extract actionable insights.
- Develop predictive models for equipment failure, production forecasting, and ore body characterization.
- Optimize mining processes and resource allocation through data-driven insights.
- Mentor and guide a team of data scientists, fostering best practices in modeling and analysis.
- Collaborate with geologists, engineers, and operations managers to understand business needs and identify opportunities for data science application.
- Develop and maintain robust data pipelines and ensure data quality for analytical purposes.
- Present complex analytical findings and recommendations to executive leadership and operational teams.
- Stay abreast of the latest advancements in data science, AI, and their applications in the mining industry.
- Contribute to the strategic roadmap for data and analytics within the organization.
- PhD or Master's degree in Data Science, Computer Science, Statistics, Geostatistics, Engineering, or a related quantitative field.
- Minimum of 8 years of experience as a Data Scientist, with a significant focus on applying advanced analytics and machine learning in industrial or operational environments.
- Proven expertise in developing and deploying machine learning models (e.g., regression, classification, clustering, deep learning).
- Proficiency in programming languages such as Python or R, and experience with data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Strong experience with big data technologies (e.g., Spark, Hadoop) and SQL databases.
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data science services.
- Demonstrated understanding of mining operations, geology, or related industrial processes is highly desirable.
- Excellent communication, presentation, and stakeholder management skills.
- Ability to lead complex projects and mentor junior team members in a remote setting.
This advertiser has chosen not to accept applicants from your region.
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