35 Statistical Analysis jobs in the United Kingdom
Senior Geologist - Data Analysis
OX1 1AA Oxford, South East
£50000 Annually
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Posted 2 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
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Posted 2 days ago
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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
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Posted 9 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.
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2
Agronomist - Remote Data Analysis
BT1 1AA Belfast, Northern Ireland
£45000 Annually
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Posted 10 days ago
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Job Description
Our client, a leader in sustainable agricultural technology, is actively seeking a highly skilled and innovative Agronomist to join their fully remote team. This unique role focuses on the analysis of large-scale agricultural data to provide actionable insights and recommendations for optimizing crop yields, improving soil health, and enhancing farming practices. You will leverage cutting-edge data analytics tools and collaborate virtually with a global network of researchers, farmers, and agricultural specialists. This is an exceptional opportunity for an experienced agronomist with a passion for data-driven agriculture and a proven ability to excel in a remote work environment. The successful candidate will contribute to shaping the future of farming.
Key Responsibilities:
Key Responsibilities:
- Analyze vast datasets from various sources, including soil sensors, weather stations, satellite imagery, and farm management software.
- Develop predictive models for crop growth, disease outbreaks, and pest infestations.
- Provide data-driven recommendations to farmers and agricultural businesses on planting schedules, fertilization, irrigation, and pest/disease management strategies.
- Interpret complex agricultural data and translate it into clear, concise, and actionable reports and presentations for diverse audiences.
- Collaborate with the R&D team to improve data collection methodologies and analytical tools.
- Stay current with advancements in agricultural science, data analytics, and precision farming technologies.
- Contribute to the development of best practices for sustainable agriculture through data analysis.
- Assist in the design and execution of field trials to validate analytical models and recommendations.
- Troubleshoot data quality issues and implement data cleansing procedures.
- Communicate effectively with clients and internal teams through virtual channels.
- A Master's degree or Ph.D. in Agronomy, Crop Science, Agricultural Science, or a closely related field.
- A strong background in data analysis, statistical modelling, and the use of agricultural data platforms/software.
- Proficiency in data analysis tools such as R, Python, or similar programming languages.
- Experience with GIS software and remote sensing data interpretation.
- Knowledge of various crop types and agricultural systems.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to convey technical information effectively.
- Proven ability to work independently, manage projects, and deliver results in a remote setting.
- Experience in a client-facing role or providing advisory services is a plus.
- A passion for sustainable agriculture and technological innovation.
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3
Graduate Trainee - Data Analysis
NE1 5HQ Newcastle upon Tyne, North East
£25000 annum (pro
WhatJobs
Posted 10 days ago
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Job Description
Our client, a forward-thinking analytics firm based in Newcastle upon Tyne, Tyne and Wear, UK , is offering an exceptional Graduate Trainee opportunity within their Data Analysis department. This is a fantastic chance for ambitious recent graduates to kick-start their career in a dynamic and data-driven environment. This role offers a hybrid working model, blending essential in-office collaboration and learning with the flexibility of remote work. You will receive comprehensive training and mentorship, working alongside experienced data professionals to develop your skills in data extraction, manipulation, analysis, and visualization. This program is designed to provide a robust foundation in data science principles and practical application.
Key Responsibilities:
Key Responsibilities:
- Assist senior analysts in collecting and cleaning large datasets from various sources.
- Perform data extraction, transformation, and loading (ETL) processes under guidance.
- Conduct exploratory data analysis to identify trends, patterns, and insights.
- Develop and create clear and concise data visualizations and reports to communicate findings.
- Support the development and testing of analytical models.
- Learn and apply statistical methods and techniques relevant to data analysis.
- Collaborate with team members to understand project requirements and contribute to solutions.
- Maintain accurate documentation of data processes and analytical methodologies.
- Participate in team meetings and training sessions to enhance technical and analytical skills.
- Contribute to ad-hoc data analysis requests as needed.
- A recent graduate (within the last 2 years) with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Physics, or a related discipline.
- Strong analytical and problem-solving abilities.
- Proficiency in at least one programming language commonly used in data analysis (e.g., Python, R).
- Familiarity with SQL for database querying.
- An understanding of statistical concepts and data modelling principles.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work effectively both independently and as part of a team.
- Eagerness to learn and adapt to new technologies and methodologies.
- Previous internship or project experience in data analysis is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Agronomist (Precision Agriculture & Data Analysis)
LE1 1AA Leicester, East Midlands
£40000 Annually
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Posted 5 days ago
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Job Description
Our client, a forward-thinking agricultural enterprise in Leicester, Leicestershire, UK , is seeking a highly skilled Agronomist with expertise in precision agriculture and data analysis. This role is crucial for optimizing crop yields, improving resource management, and promoting sustainable farming practices through the innovative use of technology. You will be responsible for collecting, analyzing, and interpreting vast amounts of agricultural data, providing actionable insights and recommendations to farm management. This position requires a blend of agricultural science knowledge and advanced data analytics capabilities.
Responsibilities:
Qualifications:
Responsibilities:
- Develop and implement precision agriculture strategies tailored to specific farm operations.
- Collect and analyze data from various sources, including soil sensors, weather stations, drones, satellite imagery, and farm machinery.
- Utilize GIS and data visualization tools to map field variability and identify areas requiring specific treatment.
- Provide expert recommendations on crop nutrition, pest and disease management, irrigation, and soil health based on data analysis.
- Monitor crop growth and performance, identifying potential issues and recommending timely interventions.
- Evaluate the effectiveness of different agricultural inputs and practices.
- Stay current with the latest advancements in agricultural technology, data science, and agronomic research.
- Collaborate with farm managers, agronomists, and technical staff to implement recommendations and ensure successful outcomes.
- Maintain detailed records of field trials, experiments, and operational data.
- Contribute to the development of sustainable and environmentally sound farming practices.
- Train farm personnel on the use of precision agriculture technologies and data interpretation tools.
- Prepare reports and presentations on findings, recommendations, and program performance.
Qualifications:
- Bachelor's or Master's degree in Agronomy, Agricultural Science, Soil Science, Data Science, or a related field.
- Proven experience (3+ years) as an Agronomist or in a related agricultural role with a strong focus on data analysis.
- Demonstrable expertise in precision agriculture techniques and technologies (e.g., GPS guidance, variable rate application, remote sensing).
- Proficiency in using GIS software (e.g., ArcGIS, QGIS) and data analysis tools (e.g., R, Python, Excel with advanced functions).
- Strong understanding of soil science, crop physiology, plant pathology, and entomology.
- Experience with agricultural data management platforms and software.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to explain complex data to diverse audiences.
- Ability to work independently and as part of a team in a field-based environment.
- A valid driver's license and willingness to travel to various farm locations within the region.
- Knowledge of sustainable agriculture practices is a plus.
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5
Remote Exploration Geologist - Data Analysis
MK9 2FB Milton Keynes, South East
£55000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client is a leading player in the global mining sector and is actively seeking a highly skilled and experienced Remote Exploration Geologist with a strong focus on data analysis. This is a fully remote position, offering the flexibility to work from anywhere within the UK. The successful candidate will be instrumental in identifying and evaluating potential mineral resource projects through the comprehensive analysis of geological data. Your responsibilities will include interpreting and modelling geological, geochemical, and geophysical datasets, assessing resource potential, and contributing to the strategic direction of exploration programs. You will leverage advanced geological software and data analysis techniques to generate insights and recommendations. Collaboration with in-house geologists, geophysicists, and external consultants will be a key aspect of this role, requiring excellent communication and teamwork skills despite the remote nature of the work. The ideal candidate will possess a deep understanding of mineral deposit formation, geological mapping, and resource estimation principles. A proven track record of successful exploration projects, supported by strong analytical and problem-solving capabilities, is essential. You will be responsible for the quality and integrity of geological data and models, ensuring they meet industry standards. This role demands a proactive approach, the ability to work autonomously, and a passion for uncovering new mineral resources. Experience with scripting languages for data manipulation and visualization (e.g., Python, R) would be a significant advantage. You will contribute to high-level decision-making regarding exploration strategy and investment.
Responsibilities:
Responsibilities:
- Analyze geological, geochemical, and geophysical data to identify exploration targets.
- Develop and interpret 3D geological models and resource estimates.
- Assess the viability and potential of mineral resource projects.
- Utilize advanced geological software for data analysis and visualization.
- Collaborate remotely with cross-functional exploration teams.
- Contribute to the development of exploration strategies and budgets.
- Ensure the quality and accuracy of geological datasets and reports.
- Prepare technical reports and presentations for management.
- Stay abreast of new technologies and methodologies in mineral exploration.
- Maintain knowledge of global mining trends and commodity markets.
- MSc or PhD in Geology, Economic Geology, or a related field.
- Minimum of 7 years of experience in mineral exploration, with a focus on data analysis.
- Proficiency in geological modeling and resource estimation software (e.g., Leapfrog, Surpac).
- Strong understanding of mineral deposit types and exploration techniques.
- Excellent analytical, critical thinking, and problem-solving skills.
- Experience with geological data management systems.
- Ability to work independently and manage projects effectively in a remote setting.
- Strong written and verbal communication skills.
- Familiarity with scripting languages (Python, R) is a plus.
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Advanced Apprenticeship in Data Analysis
BD1 1AA Bradford, Yorkshire and the Humber
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Posted 10 days ago
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Job Description
Embark on an exciting career journey with our Advanced Apprenticeship in Data Analysis program, offered in partnership with leading companies, providing a blend of remote learning and on-site practical experience in **Bradford, West Yorkshire, UK**. This is an exceptional opportunity for motivated individuals looking to gain valuable skills and qualifications in the in-demand field of data analysis. As an apprentice, you will receive comprehensive training, mentorship, and hands-on experience, working alongside experienced data professionals. You will learn to collect, clean, interpret, and visualize complex datasets to help businesses make informed decisions. Key responsibilities will include assisting with data extraction and manipulation, supporting the creation of reports and dashboards, and contributing to data quality checks. You will develop proficiency in essential tools and techniques, such as SQL, Excel, and data visualization software. This apprenticeship is designed to provide a structured pathway to a successful career in data. We are seeking enthusiastic, eager-to-learn individuals with a keen eye for detail and a strong aptitude for problem-solving. A genuine interest in data and technology is essential, along with good communication skills and the ability to work both independently and as part of a team. This hybrid program balances flexible remote study with practical application in a professional setting, ensuring a well-rounded learning experience. Upon successful completion, you will gain a recognized qualification and be well-positioned for further career advancement in data analytics.
Program Details:
Program Details:
- Comprehensive training in data collection, cleaning, and preparation techniques.
- Learning to use industry-standard tools such as SQL, Python/R, and data visualization software (e.g., Tableau, Power BI).
- Developing skills in data interpretation, statistical analysis, and report generation.
- Gaining practical experience through real-world projects and tasks.
- Mentorship from experienced data analysts and professionals.
- Hybrid learning model: structured remote study combined with on-site work experience.
- Opportunity to earn a recognized qualification upon completion.
- Pathway to potential full-time employment with partner companies.
- Minimum of 5 GCSEs at grades 9-4 (A*-C) including Maths and English, or equivalent qualifications.
- A genuine interest in data analysis and technology.
- Strong numerical and analytical abilities.
- Good problem-solving skills and attention to detail.
- Effective communication and interpersonal skills.
- Ability to work collaboratively in a team and independently.
- Commitment to completing the full apprenticeship program.
- Must be eligible to work in the UK and not currently in full-time education.
This advertiser has chosen not to accept applicants from your region.
7
Remote Graduate Trainee - Data Analysis
PL1 1AA Plymouth, South West
£25000 annum (pro-
WhatJobs
Posted 10 days ago
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Job Description
Our client, a forward-thinking organization committed to leveraging data for strategic decision-making, is looking for enthusiastic and motivated Graduate Trainees to join their fully remote Data Analysis team. This exciting internship opportunity, coordinated from Plymouth, Devon, UK , is designed for recent graduates eager to kick-start their careers in data science and analytics. You will have the chance to work on real-world projects, gain hands-on experience with powerful data tools, and learn from experienced data professionals in a supportive, remote environment. This program offers comprehensive training and development, setting you up for a successful career in data analysis.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop reports and visualizations to communicate findings effectively to stakeholders.
- Support senior analysts in building predictive models and analytical solutions.
- Learn and apply statistical methods and data mining techniques.
- Collaborate with cross-functional teams to understand data requirements and deliver actionable insights.
- Ensure data integrity and accuracy throughout the analysis process.
- Contribute to the development of data dashboards and performance tracking tools.
- Participate in team meetings, training sessions, and knowledge-sharing activities.
- Stay updated on the latest trends and tools in data analysis and data science.
Qualifications:
- Recently graduated with a Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data manipulation tools or programming languages (e.g., SQL, Python, R) is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote setting.
- A keen eye for detail and a commitment to accuracy.
- Enthusiasm for learning and developing new skills in data analytics.
- Must be eligible to work in the UK.
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8
Geologist - Remote Sensing & Data Analysis
CB21 1AA Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 10 days ago
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Job Description
Our client, a leading entity in resource exploration and geological analysis, is seeking a highly skilled Geologist with expertise in Remote Sensing and Data Analysis to join their globally distributed team. This is a fully remote position, offering the opportunity to work on diverse geological projects from anywhere. The role will involve the interpretation of satellite imagery, geophysical data, and other remote sensing products to identify and assess mineral and resource deposits. The ideal candidate will possess a strong foundation in geology, advanced analytical skills, and extensive experience with relevant software and technologies.
Responsibilities:
Responsibilities:
- Utilize remote sensing data (e.g., satellite imagery, LiDAR, SAR) to identify geological features, structures, and potential resource targets.
- Process, analyze, and interpret various types of geological and geophysical data, including seismic, magnetic, and gravity data.
- Develop and apply advanced data analysis techniques and algorithms for geological modeling and interpretation.
- Integrate diverse datasets to create comprehensive geological models and maps.
- Conduct literature reviews and historical data analysis to support exploration and resource assessment efforts.
- Prepare detailed technical reports, presentations, and geological maps for internal and external stakeholders.
- Collaborate virtually with geologists, geophysicists, data scientists, and other team members located worldwide.
- Contribute to the development and refinement of data processing workflows and analytical methodologies.
- Stay abreast of the latest advancements in remote sensing technologies, geological software, and data analysis techniques.
- Ensure data quality, integrity, and consistency throughout all analytical processes.
- Assist in the planning and execution of geological surveys and exploration programs.
- Provide geological expertise and insights to support decision-making in resource development projects.
- Maintain and manage geological databases and datasets.
- Master's or Ph.D. in Geology, Geophysics, Remote Sensing, or a closely related field.
- Minimum of 5-7 years of professional experience in geological exploration, with a specific focus on remote sensing and data analysis.
- Proficiency in geological software (e.g., ArcGIS, QGIS, Leapfrog, Petrel) and remote sensing software (e.g., ERDAS Imagine, ENVI).
- Strong programming skills in languages such as Python, R, or MATLAB for data analysis and scripting.
- Experience with GIS and spatial analysis techniques.
- In-depth understanding of geological principles, mineral deposit types, and exploration methods.
- Familiarity with various remote sensing platforms and data acquisition methods.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills, with the ability to clearly present complex technical information.
- Ability to work independently and manage multiple projects effectively in a remote setting.
- Experience with machine learning applications in geology is a significant advantage.
- Membership in professional geological societies is desirable.
This advertiser has chosen not to accept applicants from your region.
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