463 Big Data Analytics jobs in the United Kingdom
Remote Lead Data Engineer - Big Data Analytics
PO1 2EB Portsmouth, South East
£75000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client is seeking an experienced and visionary Lead Data Engineer to build and manage robust big data infrastructure. This is a fully remote position, offering unparalleled flexibility to work from anywhere in the UK. You will be responsible for designing, developing, and optimizing data pipelines, ensuring the efficient flow and accessibility of data for analytics and machine learning initiatives. This role requires deep expertise in distributed systems, cloud technologies, and a passion for architecting scalable data solutions. As a lead, you will guide a team of talented engineers and collaborate closely with data scientists and analysts.
Responsibilities:
Responsibilities:
- Design, build, and maintain scalable and reliable data pipelines and data warehouses using big data technologies.
- Develop and manage ETL/ELT processes for ingesting and transforming large datasets from diverse sources.
- Architect and implement data solutions on cloud platforms (e.g., AWS, Azure, GCP).
- Optimize data processing performance and ensure data quality and integrity.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
- Lead and mentor a team of data engineers, fostering best practices and technical excellence.
- Develop and implement data governance policies and procedures.
- Automate data infrastructure operations and implement robust monitoring systems.
- Evaluate and adopt new technologies and tools to enhance data platform capabilities.
- Troubleshoot and resolve complex data-related issues in production environments.
- Ensure data security and compliance with relevant regulations.
- Contribute to the strategic roadmap for data infrastructure and analytics.
- Document data architectures, processes, and standards.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 7 years of experience in data engineering, with at least 3 years in a lead or senior role.
- Extensive experience with big data technologies such as Hadoop, Spark, Kafka, and distributed databases (e.g., Cassandra, HBase).
- Proficiency in programming languages like Python, Scala, or Java.
- Strong experience with cloud platforms (AWS, Azure, or GCP) and their data services (e.g., S3, Redshift, Glue, Databricks, BigQuery).
- Expertise in SQL and NoSQL database design and optimization.
- Experience with data warehousing concepts and dimensional modeling.
- Familiarity with data orchestration tools (e.g., Airflow, Luigi).
- Excellent problem-solving, analytical, and communication skills.
- Proven ability to lead and mentor technical teams.
- Experience working in a fully remote, agile environment.
- Understanding of data security best practices and compliance requirements.
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0
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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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
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.
3
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.
4
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.
5
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.
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6
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.
7
Remote Data Scientist - Geospatial Mining Analysis
AB10 1AA Aberdeen, Scotland
£75000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a leading innovator in resource exploration, is seeking an experienced and highly skilled Remote Data Scientist with a specialization in Geospatial Mining Analysis. This position is a fully remote role, offering the flexibility to work from anywhere within the UK. You will be instrumental in leveraging advanced data analytics and machine learning techniques to optimise our client's mining operations, identify new resource deposits, and improve operational efficiency. This role demands a unique blend of data science expertise, statistical modelling, and a deep understanding of geological and geospatial data. You will be responsible for developing and implementing predictive models for resource estimation, analysing satellite imagery and sensor data for geological mapping, and creating sophisticated data visualisations to communicate complex findings to stakeholders. The ideal candidate will have a proven track record in applying data science to mining or geological challenges, with a strong proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., GeoPandas, SciPy, TensorFlow, PyTorch). Familiarity with big data technologies and cloud platforms (AWS, Azure, GCP) is highly desirable. Responsibilities include:* Developing and deploying machine learning models for predicting ore grades and deposit locations.
* Utilising geospatial analysis techniques to interpret geological survey data and remote sensing information.
* Building robust data pipelines for processing large volumes of heterogeneous data.
* Creating interactive dashboards and reports to present analytical insights.
* Collaborating with geologists, engineers, and exploration teams to define analytical requirements.
* Staying abreast of the latest advancements in data science, AI, and their applications in the mining sector.
A Master's degree or PhD in Data Science, Computer Science, Geology, Geophysics, or a related quantitative field is required. Exceptional problem-solving abilities, strong analytical skills, and the capacity to work autonomously in a remote setting are essential. This role requires excellent communication skills to articulate technical concepts to non-technical audiences. You will be joining a forward-thinking company that values innovation and data-driven decision-making. This is an exciting opportunity to make a significant impact on the future of mining from the comfort of your own home, contributing to crucial resource discovery and extraction efforts. The specific focus is on applications within the Aberdeen, Scotland, UK region and beyond.
* Utilising geospatial analysis techniques to interpret geological survey data and remote sensing information.
* Building robust data pipelines for processing large volumes of heterogeneous data.
* Creating interactive dashboards and reports to present analytical insights.
* Collaborating with geologists, engineers, and exploration teams to define analytical requirements.
* Staying abreast of the latest advancements in data science, AI, and their applications in the mining sector.
A Master's degree or PhD in Data Science, Computer Science, Geology, Geophysics, or a related quantitative field is required. Exceptional problem-solving abilities, strong analytical skills, and the capacity to work autonomously in a remote setting are essential. This role requires excellent communication skills to articulate technical concepts to non-technical audiences. You will be joining a forward-thinking company that values innovation and data-driven decision-making. This is an exciting opportunity to make a significant impact on the future of mining from the comfort of your own home, contributing to crucial resource discovery and extraction efforts. The specific focus is on applications within the Aberdeen, Scotland, UK region and beyond.
This advertiser has chosen not to accept applicants from your region.
8
Senior Geologist - Data Analysis
OX1 1AA Oxford, South East
£50000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a leading firm in the mining sector, is looking for a Senior Geologist specializing in data analysis to join their innovative team. This role will be based in **Oxford, Oxfordshire, UK**, with a hybrid work arrangement offering a balance between in-office collaboration and remote flexibility. You will be instrumental in collecting, interpreting, and modelling geological data from exploration sites, helping to identify potential mineral resources and optimize extraction strategies. Your expertise will be critical in utilizing advanced software and techniques to analyze large datasets, including geophysical surveys, core samples, and geochemical analyses.
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
The responsibilities include developing geological models, assessing resource potential, and preparing detailed technical reports for internal stakeholders and regulatory bodies. You will collaborate closely with exploration teams, mining engineers, and data scientists to ensure geological insights are integrated into all stages of the mining lifecycle. A strong understanding of geological principles, statistical analysis, and geological software (e.g., Leapfrog, ArcGIS, Vulcan) is essential. The ideal candidate will have excellent problem-solving skills, a meticulous approach to data handling, and the ability to communicate complex geological information clearly and concisely. This is a fantastic opportunity for a seasoned geologist to contribute to significant projects and advance their career within a respected organization.
Key Responsibilities:
- Analyze and interpret geological and geophysical data.
- Develop and refine 3D geological models.
- Conduct resource estimation and geological risk assessments.
- Prepare comprehensive technical reports and presentations.
- Collaborate with exploration and mining engineering teams.
- Utilize advanced geological software for data processing and visualization.
- Advise on exploration strategies and target definition.
- Ensure data quality and integrity throughout projects.
- Stay updated on the latest geological techniques and technologies.
- Contribute to the company's overall resource management strategy.
- MSc or PhD in Geology, Geophysics, or a related field.
- Significant experience in geological data analysis and modelling.
- Proficiency in geological software packages (e.g., Leapfrog, ArcGIS, Vulcan).
- Strong statistical analysis and quantitative skills.
- Experience in mineral resource estimation.
- Excellent written and verbal communication skills.
- Ability to work effectively in a hybrid environment.
- Strong problem-solving and critical thinking abilities.
- Familiarity with exploration and mining processes.
This advertiser has chosen not to accept applicants from your region.
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