5 Data Analysis jobs in Sunderland
Senior Exploration Geologist - Remote Sensing & Data Analysis
SR1 1XL Sunderland, North East
£70000 Annually
WhatJobs
Posted 22 days ago
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Job Description
Our client, a globally recognised mining and resources company, is seeking a highly skilled Senior Exploration Geologist with expertise in remote sensing and advanced data analysis to join their innovative team. This is a fully remote position, allowing you to leverage your geological knowledge and analytical skills from anywhere in the UK. You will play a crucial role in identifying and evaluating prospective mineral resource targets by integrating and interpreting vast datasets from satellite imagery, geophysical surveys, and geochemical analyses. Your work will be instrumental in guiding the company's exploration strategies and ensuring efficient resource discovery.
Key Responsibilities:
Key Responsibilities:
- Lead the acquisition, processing, and interpretation of remote sensing data (e.g., satellite imagery, LiDAR) for geological mapping and target generation.
- Integrate multi-disciplinary exploration datasets, including geophysical surveys, geochemical data, and geological models, to identify areas of high mineral potential.
- Develop and apply advanced data analysis techniques, including machine learning and AI, to enhance mineral prospectivity mapping.
- Design and manage exploration programs, focusing on data-driven targeting and efficient field validation.
- Conduct detailed geological reviews and risk assessments for potential exploration projects.
- Collaborate with in-house and external geoscientists, geochemists, and data scientists to ensure comprehensive data interpretation.
- Prepare technical reports, presentations, and recommendations for senior management and exploration teams.
- Stay abreast of the latest advancements in remote sensing technology, geological modelling software, and exploration methodologies.
- Mentor junior geologists and contribute to the development of best practices within the exploration department.
- Ensure all geological interpretations and data management practices adhere to industry standards and company protocols.
- MSc or PhD in Geology, Geophysics, or a related Earth Science discipline.
- Minimum of 7 years of progressive experience in mineral exploration, with a significant focus on remote sensing data interpretation and geological data integration.
- Proficiency with remote sensing software (e.g., ENVI, ERDAS Imagine) and GIS platforms (e.g., ArcGIS, QGIS).
- Strong understanding of spectral geology, mineral identification, and geological mapping techniques.
- Experience with geophysical data interpretation (e.g., magnetics, gravity, electromagnetics) is highly desirable.
- Demonstrated ability in advanced data analysis, statistical modelling, and ideally, experience with Python or R for data science applications.
- Excellent understanding of geological principles and exploration models for various commodities.
- Strong written and verbal communication skills, with the ability to present complex technical information effectively.
- Proven ability to work independently, manage multiple projects, and meet deadlines in a remote setting.
- Familiarity with mining industry operations and exploration project lifecycles.
- A passion for geological discovery and contributing to sustainable resource development.
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Senior Agronomist - Remote Sensing & Data Analysis
NE1 7AB Newcastle upon Tyne, North East
£48000 Annually
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Posted 2 days ago
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Our client, a pioneering agricultural technology firm, is looking for an experienced Senior Agronomist to join their innovative, fully remote team. This role is at the forefront of leveraging remote sensing technology and advanced data analytics to drive precision agriculture solutions. You will be responsible for interpreting satellite imagery, drone data, and other geospatial information to provide actionable insights for crop management, yield prediction, and resource optimization. The ideal candidate will possess a strong background in agronomy or crop science, combined with significant experience in remote sensing data processing and statistical analysis. Proficiency with relevant software such as ArcGIS, QGIS, Google Earth Engine, and statistical packages (R, Python) is essential. Responsibilities include developing methodologies for analyzing agricultural data, creating predictive models for crop health and performance, and advising clients on best practices for sustainable farming. You will collaborate closely with a multidisciplinary team of data scientists, software engineers, and agricultural experts to develop and refine our offerings. This position requires a deep understanding of plant physiology, soil science, and agricultural economics. The ability to communicate complex technical findings clearly and concisely to both technical and non-technical audiences is paramount. We are seeking a proactive, research-oriented individual with a Master's degree or PhD in Agronomy, Soil Science, Geography, or a related field, along with a minimum of 5 years of experience in agricultural data analysis and remote sensing. This is an exceptional opportunity to contribute to the future of agriculture, work with cutting-edge technology, and enjoy the flexibility of a remote-first role.
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1
Junior Graduate Trainee Programme - Data Analysis
NE1 4AA Newcastle upon Tyne, North East
£25000 Annually
WhatJobs
Posted 7 days ago
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Job Description
Embark on an exciting career journey with our comprehensive Graduate Trainee Programme, designed to cultivate emerging talent in Data Analysis. This role is based in the vibrant city of Newcastle upon Tyne, Tyne and Wear, UK . Our client is seeking bright, motivated graduates eager to develop their skills in a supportive and dynamic environment.
The programme offers a structured pathway for learning and development, covering essential areas of data science, analytics, and business intelligence. You will gain hands-on experience working with real-world datasets, contributing to critical projects that drive business decisions. This is a fantastic opportunity to build a strong foundation in a high-demand field, working alongside experienced professionals who are dedicated to mentoring and guiding your growth.
Key responsibilities will include:
We are looking for candidates who possess a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail. A recent graduate degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. While prior experience is beneficial, a strong willingness to learn and adapt is paramount. Proficiency in Excel is essential, and familiarity with data visualization tools (e.g., Tableau, Power BI) or programming languages (e.g., Python, R) would be advantageous. Excellent communication and interpersonal skills are crucial for effective collaboration. This is a unique chance to kick-start your career in a role that offers significant learning opportunities and potential for advancement within our client's organisation. Join us and be part of a team that values innovation and data excellence, contributing to impactful solutions in Newcastle upon Tyne, Tyne and Wear, UK .
The programme offers a structured pathway for learning and development, covering essential areas of data science, analytics, and business intelligence. You will gain hands-on experience working with real-world datasets, contributing to critical projects that drive business decisions. This is a fantastic opportunity to build a strong foundation in a high-demand field, working alongside experienced professionals who are dedicated to mentoring and guiding your growth.
Key responsibilities will include:
- Assisting senior analysts in data collection, cleaning, and preprocessing.
- Performing exploratory data analysis to identify trends and patterns.
- Developing reports and dashboards to visualize key metrics and insights.
- Supporting the implementation of data-driven strategies.
- Learning and applying various statistical and machine learning techniques.
- Collaborating with cross-functional teams to understand data requirements.
- Maintaining data integrity and accuracy throughout all processes.
- Participating in team meetings and contributing to project discussions.
- Adhering to company policies and data privacy regulations.
We are looking for candidates who possess a strong analytical mindset, excellent problem-solving skills, and a keen eye for detail. A recent graduate degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline is required. While prior experience is beneficial, a strong willingness to learn and adapt is paramount. Proficiency in Excel is essential, and familiarity with data visualization tools (e.g., Tableau, Power BI) or programming languages (e.g., Python, R) would be advantageous. Excellent communication and interpersonal skills are crucial for effective collaboration. This is a unique chance to kick-start your career in a role that offers significant learning opportunities and potential for advancement within our client's organisation. Join us and be part of a team that values innovation and data excellence, contributing to impactful solutions in Newcastle upon Tyne, Tyne and Wear, UK .
This advertiser has chosen not to accept applicants from your region.
2
Remote Senior Data Mining Engineer
NE1 4AG Newcastle upon Tyne, North East
£75000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is a pioneering company in the industrial technology sector, leveraging advanced data analytics to optimize complex operational processes. We are seeking an exceptional Senior Data Mining Engineer to join our fully remote data science team. This role is instrumental in extracting, cleaning, transforming, and analyzing vast datasets to uncover valuable insights, patterns, and predictive models. You will be responsible for designing and implementing data mining algorithms, developing machine learning models, and utilizing statistical techniques to solve challenging business problems. The ideal candidate will possess a strong foundation in computer science, statistics, and machine learning, with hands-on experience in big data technologies and distributed computing environments. Proficiency in programming languages such as Python or R, and experience with SQL and NoSQL databases are essential. You will work with large-scale datasets generated from industrial operations, requiring expertise in data warehousing, data lakes, and ETL processes. The ability to translate complex analytical findings into clear, actionable recommendations for stakeholders is crucial. As a senior member of the team, you will mentor junior engineers, contribute to the development of data mining best practices, and collaborate closely with domain experts to understand operational challenges. This role demands strong analytical, problem-solving, and critical thinking skills. You should be adept at working independently in a remote setting, managing multiple projects, and delivering high-quality results on time. A passion for discovering hidden value in data and driving innovation through data-driven solutions is highly valued. This is a unique opportunity to work on cutting-edge data mining projects with significant impact on industrial efficiency and performance.
Responsibilities:
Responsibilities:
- Design, develop, and implement data mining algorithms and machine learning models.
- Extract, clean, and transform large, complex datasets for analysis.
- Apply statistical techniques to identify patterns, trends, and anomalies.
- Develop predictive models to forecast operational outcomes and identify risks.
- Utilize big data technologies and distributed computing frameworks.
- Work with data warehousing, data lakes, and ETL processes.
- Collaborate with domain experts to understand business requirements and operational challenges.
- Mentor junior data scientists and engineers.
- Communicate complex analytical findings to technical and non-technical stakeholders.
- Contribute to the development and refinement of data mining methodologies and best practices.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, or a related quantitative field.
- 5+ years of experience in data mining, machine learning, and statistical analysis.
- Proficiency in programming languages such as Python, R, or Scala.
- Strong experience with SQL and NoSQL databases.
- Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure).
- Knowledge of data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Proven ability to work effectively in a remote team environment.
- Strong communication and presentation skills.
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3
Remote Senior Mining Engineer - Data Analytics
NE1 1AA Newcastle upon Tyne, North East
£70000 Annually
WhatJobs
Posted 20 days ago
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Job Description
Our client, a global leader in resource extraction and mining technology, is seeking a highly specialized Remote Senior Mining Engineer with a strong focus on Data Analytics. This fully remote position is ideal for an experienced mining professional who can leverage advanced data techniques to optimize mining operations, improve safety, and enhance resource recovery. You will be responsible for analyzing vast datasets generated from mining activities, including geological surveys, operational performance metrics, equipment telemetry, and safety incident reports. Utilizing sophisticated analytical tools and programming languages (e.g., Python, R, SQL), you will develop predictive models, identify trends, and provide actionable insights to improve mine planning, operational efficiency, and cost management. Key responsibilities include developing data-driven strategies for resource estimation, optimizing drilling and blasting patterns, monitoring equipment health for predictive maintenance, and enhancing safety protocols through data analysis. You will collaborate closely with geologists, mine planners, operations managers, and data scientists across different geographical locations. The ideal candidate will possess a deep understanding of mining engineering principles combined with exceptional data science and analytical skills. Proven experience in developing and implementing data analytics solutions within the mining industry is essential. Strong communication skills are required to translate complex data findings into clear, concise recommendations for stakeholders. This is a unique opportunity to shape the future of mining through intelligent data utilization from a remote setting. You must be a self-starter, capable of working autonomously and managing complex analytical projects from conception to completion. A passion for innovation and a commitment to improving the sustainability and safety of mining operations are highly valued. Your expertise will directly contribute to maximizing operational performance and mineral recovery while minimizing environmental impact and operational risks.
Responsibilities:
Responsibilities:
- Develop and implement advanced data analytics models for mining operations.
- Analyze geological, operational, and equipment data to identify trends and insights.
- Optimize mine planning, resource estimation, and production scheduling using data-driven approaches.
- Develop predictive maintenance strategies for mining equipment.
- Enhance mine safety protocols through data analysis and risk assessment.
- Collaborate with cross-functional teams, including geologists, engineers, and data scientists.
- Create dashboards and reports to visualize key performance indicators and operational insights.
- Identify opportunities for process optimization and cost reduction in mining operations.
- Stay abreast of emerging technologies and data analytics techniques in the mining sector.
- Provide technical guidance and mentorship on data-driven decision-making.
- Bachelor's or Master's degree in Mining Engineering, Geological Engineering, Data Science, or a related field.
- Minimum of 7 years of experience in the mining industry, with a significant focus on data analytics.
- Proficiency in programming languages such as Python or R for data analysis and modeling.
- Strong experience with SQL and database management.
- Expertise in statistical analysis, machine learning, and predictive modeling.
- Familiarity with mining software and simulation tools (e.g., Deswik, Vulcan, Leapfrog).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to convey complex data insights.
- Ability to work independently and manage projects in a remote environment.
- Knowledge of mine operations, geology, and safety regulations.
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