6 Data Analysis jobs in Oxford
Senior Geologist - Data Analysis
OX1 1AA Oxford, South East
£50000 Annually
WhatJobs
Posted 14 days ago
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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.
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0
Graduate Trainee - Data Analysis
OX1 1AA Oxford, South East
£25000 Annually
WhatJobs
Posted 14 days ago
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Job Description
Our client is seeking bright and ambitious Graduate Trainees to join their Data Analysis team. This is an excellent opportunity for recent graduates to launch their careers in a dynamic and data-driven environment located in Oxford, Oxfordshire, UK . The program offers comprehensive training, mentorship, and hands-on experience in various aspects of data analysis, interpretation, and visualisation. This hybrid role will involve a mix of in-office learning and collaborative activities, along with remote work, allowing for flexibility and exposure to modern work practices.
Key Responsibilities:
Key Responsibilities:
- Assist in collecting, cleaning, and organising large datasets from various sources.
- Perform preliminary data analysis using statistical methods and software tools.
- Support senior analysts in generating reports, dashboards, and visualisations to communicate findings.
- Learn and apply data mining techniques to identify trends, patterns, and insights.
- Contribute to the development of data models and analytical frameworks.
- Collaborate with team members on projects, participating in brainstorming sessions and problem-solving activities.
- Assist in documenting data sources, methodologies, and analytical processes.
- Gain exposure to various data analysis tools and technologies (e.g., SQL, Python, R, Tableau).
- Participate in training sessions and workshops to enhance technical and analytical skills.
- Provide support for ad-hoc data requests and analysis as needed.
- Recent graduate with a Bachelor's or Master's degree in a quantitative field such as Mathematics, Statistics, Economics, Computer Science, or a related discipline.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with or willingness to learn data manipulation and analysis tools (e.g., Excel, SQL).
- Excellent communication and interpersonal skills.
- Ability to work both independently and as part of a team.
- Proactive attitude and eagerness to learn and develop new skills.
- Eligibility to work in the UK.
- Comfortable working in a hybrid work environment.
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1
Advanced Apprentice - Data Analysis
OX1 1BB Oxford, South East
£22000 Annually
WhatJobs
Posted 21 days ago
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Job Description
Are you passionate about uncovering insights from data and eager to kickstart your career in a fast-paced, innovative environment? Our client, a forward-thinking organisation, is offering a unique Advanced Apprenticeship opportunity in Data Analysis, based in the historic city of Oxford, Oxfordshire, UK . This programme is meticulously designed for ambitious individuals who are looking to gain hands-on experience and formal qualifications while contributing to meaningful projects.
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
This apprenticeship will provide comprehensive training in data manipulation, analysis, visualization, and reporting. You will work alongside experienced data professionals, learning industry-standard tools and techniques. Your contributions will directly support business intelligence efforts, helping to shape strategic decisions through data-driven recommendations.
What you will learn and do:
- Assist in the collection, cleaning, and preprocessing of diverse datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Develop reports and dashboards using data visualization tools to present findings clearly and concisely.
- Support the team in designing and implementing data quality checks and validation processes.
- Gain exposure to statistical modeling and predictive analytics concepts.
- Learn to use programming languages such as Python or R for data manipulation and analysis.
- Understand database concepts and SQL for data extraction.
- Collaborate with different departments to understand their data needs and provide analytical support.
- Contribute to the continuous improvement of data processes and methodologies.
- Undertake a structured learning program leading to a recognised qualification in Data Analysis.
- A strong interest in data, analytics, and technology.
- A minimum of 5 GCSEs at Grade C/4 or above, including Maths and English, or equivalent.
- Excellent problem-solving abilities and a keen eye for detail.
- Good communication and teamwork skills.
- A proactive attitude and a willingness to learn.
- Basic understanding of Excel or similar spreadsheet software is advantageous.
This advertiser has chosen not to accept applicants from your region.
2
Senior Geologist - Remote Data Analysis
OX1 1AA Oxford, South East
£55000 Annually
WhatJobs
Posted today
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Job Description
Our client, a leading entity in the mining sector, is seeking a highly skilled Senior Geologist with expertise in geological data analysis and interpretation. This role offers a hybrid work arrangement, combining remote data processing with occasional on-site collaboration.
The Senior Geologist will be responsible for analysing vast datasets of geological information, including seismic surveys, core samples, and geophysical logs, to identify potential mineral deposits and evaluate their economic viability. You will employ advanced software and methodologies to model subsurface structures, predict resource distribution, and assess geological risks associated with exploration and extraction activities. This involves developing detailed geological reports, creating maps, and contributing to strategic exploration planning.
A critical aspect of this role is collaborating with exploration teams, geophysicists, and mining engineers to integrate geological findings into broader project strategies. You will provide expert geological advice, support decision-making processes, and ensure that exploration and development activities are conducted with a thorough understanding of the geological context. The ability to interpret complex geological phenomena and communicate findings clearly to both technical and non-technical audiences is paramount. Your work will directly influence the success of our client's exploration ventures.
We are looking for individuals with a strong academic background in geology or a related earth science, coupled with extensive practical experience in mineral exploration or mining geology. Proficiency in geological modelling software (e.g., Leapfrog, Vulcan, ArcGIS) and data analysis tools is essential. Excellent problem-solving skills, a keen eye for detail, and the ability to work effectively in both independent remote settings and collaborative team environments are required. Understanding of relevant geological software and data management systems is key. The hybrid nature of this role necessitates good organisational skills and the ability to travel occasionally to our client's operational sites.
If you are a seasoned geologist looking to apply your analytical skills to challenging mining projects, and you are comfortable with a hybrid working model, we encourage you to explore this exciting opportunity.
Location: This is a hybrid role, with the flexibility of remote work and the requirement for occasional on-site visits. The primary office hub is located near Oxford, Oxfordshire, UK .
Responsibilities:
The Senior Geologist will be responsible for analysing vast datasets of geological information, including seismic surveys, core samples, and geophysical logs, to identify potential mineral deposits and evaluate their economic viability. You will employ advanced software and methodologies to model subsurface structures, predict resource distribution, and assess geological risks associated with exploration and extraction activities. This involves developing detailed geological reports, creating maps, and contributing to strategic exploration planning.
A critical aspect of this role is collaborating with exploration teams, geophysicists, and mining engineers to integrate geological findings into broader project strategies. You will provide expert geological advice, support decision-making processes, and ensure that exploration and development activities are conducted with a thorough understanding of the geological context. The ability to interpret complex geological phenomena and communicate findings clearly to both technical and non-technical audiences is paramount. Your work will directly influence the success of our client's exploration ventures.
We are looking for individuals with a strong academic background in geology or a related earth science, coupled with extensive practical experience in mineral exploration or mining geology. Proficiency in geological modelling software (e.g., Leapfrog, Vulcan, ArcGIS) and data analysis tools is essential. Excellent problem-solving skills, a keen eye for detail, and the ability to work effectively in both independent remote settings and collaborative team environments are required. Understanding of relevant geological software and data management systems is key. The hybrid nature of this role necessitates good organisational skills and the ability to travel occasionally to our client's operational sites.
If you are a seasoned geologist looking to apply your analytical skills to challenging mining projects, and you are comfortable with a hybrid working model, we encourage you to explore this exciting opportunity.
Location: This is a hybrid role, with the flexibility of remote work and the requirement for occasional on-site visits. The primary office hub is located near Oxford, Oxfordshire, UK .
Responsibilities:
- Analyse and interpret geological data from various sources (seismic, core, well logs, etc.).
- Develop and manage geological models for mineral exploration projects.
- Identify and evaluate potential mineral resource targets.
- Assess geological risks and contribute to exploration strategy development.
- Prepare detailed geological reports and presentations for stakeholders.
- Collaborate with exploration, geophysics, and engineering teams.
- Provide expert geological advice and support for mining operations.
- Utilise geological software for data analysis, modelling, and visualisation.
- Ensure data integrity and adherence to geological standards.
- Stay updated with the latest advancements in geological sciences and exploration techniques.
- MSc or PhD in Geology, Geophysics, or a related Earth Science discipline.
- Significant experience in mineral exploration or mining geology.
- Proficiency in geological modelling and data analysis software (e.g., Leapfrog, Vulcan, ArcGIS).
- Strong understanding of geological principles and exploration techniques.
- Excellent analytical, problem-solving, and report-writing skills.
- Experience with hybrid work models and ability to travel as needed.
- Effective communication and collaboration abilities.
This advertiser has chosen not to accept applicants from your region.
3
Senior Data Scientist - Mining Operations (Remote)
OX1 1PT Oxford, South East
£85000 Annually
WhatJobs
Posted 22 days ago
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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.
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4
Remote Senior Mining Data Scientist
OX1 1AG Oxford, South East
£85000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is seeking an accomplished and innovative Senior Mining Data Scientist to join their fully remote team. This role is central to leveraging data analytics and machine learning to optimize mining operations, improve safety, and enhance resource extraction efficiency. You will be responsible for developing and deploying advanced analytical models that address complex challenges in areas such as geological modeling, ore body estimation, production forecasting, equipment maintenance, and supply chain optimization. Your responsibilities will include data wrangling and preprocessing, exploratory data analysis, feature engineering, model selection, training, validation, and deployment. You will collaborate closely with geologists, mining engineers, and operational teams to understand their needs and translate them into data-driven solutions. The ideal candidate will possess a strong background in data science, statistics, and machine learning, with a proven track record of applying these skills to solve real-world problems in the mining or resources sector. A Master's or Ph.D. in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering is required. Proficiency in programming languages like Python or R, and experience with data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) are essential. Experience with big data technologies (e.g., Spark) and cloud platforms (AWS, Azure, GCP) is highly desirable. Excellent communication and presentation skills are paramount, enabling you to effectively convey complex findings to both technical and non-technical stakeholders. We are looking for a proactive, curious, and results-oriented individual who can thrive in a remote work environment and drive significant improvements in the mining industry through data science. This is a unique opportunity to make a substantial impact from your home office. Join us and revolutionize mining through data.
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