276 Experiments jobs in the United Kingdom
Graduate Trainee - Data Analysis
NE1 5HQ Newcastle upon Tyne, North East
£25000 annum (pro
WhatJobs
Posted 6 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.
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0
Data Analysis Bootcamp (Hiring Immediately)
N1 2UD Islington, London
ITonlinelearning Recruitment
Posted today
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Job Description
Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as 142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: 28,000 38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.
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1
Remote Graduate Trainee - Data Analysis
PL1 1AA Plymouth, South West
£25000 annum (pro-
WhatJobs
Posted today
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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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2
Geologist - Remote Sensing & Data Analysis
CB21 1AA Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 1 day ago
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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.
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3
Senior Geologist - Remote Data Analysis
L3 8SY Liverpool, North West
£70000 Annually
WhatJobs
Posted 4 days ago
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Job Description
Our client, a global leader in resource exploration and management, is seeking a highly experienced Senior Geologist to join their innovative team in a fully remote capacity. This role focuses on the advanced analysis of geological data, contributing critical insights to exploration and mining projects worldwide. You will leverage state-of-the-art software and methodologies to interpret complex datasets, identify potential resource deposits, and support strategic decision-making. The ideal candidate will possess a strong academic background in geology or a related field, extensive experience in mineral exploration or mining geology, and exceptional analytical and data interpretation skills. This position offers the flexibility to work from home, with a focus on supporting projects relevant to our operations in Liverpool, Merseyside, UK and beyond.
Key Responsibilities:
Key Responsibilities:
- Analyze and interpret geological data from various sources, including drill logs, geophysical surveys, geochemical analyses, and remote sensing imagery.
- Develop and maintain geological models using industry-standard software (e.g., Leapfrog, Vulcan, ArcGIS).
- Identify and evaluate prospective areas for mineral and resource exploration based on geological criteria and data analysis.
- Collaborate with exploration and mine planning teams to provide geological input and recommendations.
- Assess the quality and reliability of geological data, implementing data validation and quality control procedures.
- Prepare detailed geological reports, maps, and cross-sections for internal use and external stakeholders.
- Contribute to resource estimation and reserve calculations, ensuring accuracy and adherence to reporting standards (e.g., JORC, NI 43-101).
- Stay abreast of new geological techniques, technologies, and research relevant to mineral exploration and mining.
- Mentor junior geologists and provide technical guidance on data analysis and interpretation.
- Communicate complex geological concepts effectively to both technical and non-technical audiences.
- Participate in virtual team meetings and contribute to project planning and strategy discussions.
- Master's or Ph.D. in Geology, Geological Engineering, or a related earth science discipline.
- Minimum of 8 years of relevant experience in mineral exploration, mining geology, or resource evaluation.
- Demonstrated expertise in geological data analysis, interpretation, and modeling software (e.g., Leapfrog, Vulcan, Datamine, ArcGIS).
- Strong understanding of structural geology, mineralogy, geochemistry, and geophysics.
- Proven ability to manage and interpret large, complex geological datasets.
- Excellent written and verbal communication skills, with strong report writing capabilities.
- Ability to work independently, manage priorities effectively, and meet deadlines in a remote setting.
- Experience with statistical analysis and data visualization techniques.
- Familiarity with international reporting codes for mineral resources and reserves.
- Membership in a relevant professional geological body is advantageous.
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4
Agronomist - Remote Sensing & Data Analysis
ST1 5NE Staffordshire, West Midlands
£50000 Annually
WhatJobs
Posted 6 days ago
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Job Description
Our client is seeking an innovative and technically proficient Agronomist with expertise in remote sensing and data analysis to join their fully remote team. This role will focus on leveraging advanced technologies to monitor crop health, optimize agricultural practices, and enhance yield for clients across diverse geographical regions. The ideal candidate will possess a strong understanding of agronomy principles, combined with significant experience in processing and interpreting satellite imagery, drone data, and other geospatial information. You will be responsible for developing data-driven insights and providing actionable recommendations to farmers and agricultural businesses.
Key Responsibilities:
Key Responsibilities:
- Utilize remote sensing data (satellite, drone imagery) to monitor crop health, growth stages, and identify potential issues (e.g., pests, diseases, nutrient deficiencies).
- Process and analyze large datasets using GIS software, image processing tools, and statistical methods.
- Develop predictive models for crop yield, risk assessment, and resource management.
- Interpret data to provide precise, actionable agronomic recommendations to farmers and agricultural consultants.
- Collaborate with research teams to develop and validate new remote sensing applications in agriculture.
- Create clear and concise reports, maps, and visualizations to communicate findings.
- Stay up-to-date with advancements in remote sensing technology, GIS, and agricultural science.
- Assist in the design and implementation of field trials to validate remote sensing data and models.
- Support the integration of remote sensing data with other agricultural data sources (e.g., weather, soil data).
- Provide technical support and training to internal teams and clients on the use of data analysis tools.
- Master's degree or Ph.D. in Agronomy, Agricultural Science, Remote Sensing, Geospatial Science, or a closely related field.
- Minimum of 3 years of experience in applying remote sensing and GIS technologies in an agricultural context.
- Proficiency in image processing software (e.g., ENVI, ERDAS Imagine) and GIS software (e.g., ArcGIS, QGIS).
- Strong programming skills in Python or R for data analysis and scripting.
- Solid understanding of agronomic principles, crop physiology, and soil science.
- Experience with analyzing data from various satellite platforms (e.g., Sentinel, Landsat) and drones.
- Excellent analytical, problem-solving, and data visualization skills.
- Strong written and verbal communication skills, with the ability to explain complex technical concepts clearly.
- Ability to work independently and manage projects effectively in a remote setting.
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5
Senior Bioinformatician (Genomics Data Analysis)
S1 4DT Sheffield, Yorkshire and the Humber
£58000 Annually
WhatJobs
Posted 11 days ago
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Job Description
Our client is seeking an accomplished Senior Bioinformatician with a strong background in genomics data analysis to join their leading scientific research and development team in **Sheffield, South Yorkshire, UK**. This vital role will involve the analysis of large-scale genomic datasets, development of computational pipelines, and collaboration with researchers to drive scientific discovery. The ideal candidate will possess excellent programming skills, a deep understanding of bioinformatics tools and algorithms, and a passion for advancing biological understanding through data. This is a permanent, on-site position.
Responsibilities:
Responsibilities:
- Design, develop, and implement robust bioinformatics pipelines for the analysis of diverse genomic datasets (e.g., WGS, WES, RNA-Seq, ChIP-Seq).
- Perform complex data analysis, interpretation, and visualization of genomic and molecular data.
- Collaborate closely with biologists, geneticists, and other researchers to define project requirements and provide analytical support.
- Develop and maintain databases for storing and managing large-scale genomic data.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the development of novel computational methods and software tools.
- Troubleshoot and optimize existing bioinformatics workflows.
- Document analytical procedures, findings, and methodologies thoroughly.
- Present research findings and analytical results to scientific colleagues and stakeholders.
- Ensure data integrity, security, and compliance with relevant ethical guidelines.
- Mentor junior bioinformaticians and contribute to the team's technical expertise.
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics, with a focus on genomics data analysis.
- Strong programming skills in languages such as Python, R, and/or Perl.
- Proficiency with command-line environments (Linux/Unix) and common bioinformatics software packages and databases.
- Experience with next-generation sequencing (NGS) data analysis and associated tools (e.g., BWA, GATK, STAR, DESeq2).
- Solid understanding of statistical methods and machine learning techniques applicable to biological data.
- Experience with data visualization tools and techniques.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and interpersonal skills, with the ability to collaborate effectively in a research environment.
- Experience with high-performance computing (HPC) environments is desirable.
- Familiarity with cloud computing platforms for data analysis is a plus.
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6
Graduate Trainee Scheme - Data Analysis
MK1 1AU Milton Keynes, South East
£25000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
Our client is thrilled to announce an exceptional opportunity for ambitious graduates to join their fully remote Graduate Trainee Scheme focusing on Data Analysis. This program is designed for individuals eager to launch their careers in a data-driven environment, providing comprehensive training and practical experience in analyzing complex datasets. As a Graduate Trainee, you will work on real-world projects, contributing to significant business decisions and gaining invaluable skills in data interpretation, visualization, and reporting. You will be mentored by experienced data analysts and work alongside dedicated teams, receiving exposure to a variety of analytical tools and techniques, including SQL, Python, R, and advanced Excel. The scheme emphasizes learning and development, offering opportunities to explore different facets of data analysis within various business functions. Successful candidates will be proactive learners, possess strong analytical and problem-solving abilities, and demonstrate a keen interest in leveraging data to drive insights. This role is ideal for recent graduates who are seeking a structured pathway into a career in data science or business analytics. You will be involved in data cleaning, transformation, and manipulation, as well as the development of dashboards and reports to communicate findings effectively. The training program includes workshops, online courses, and hands-on project work, ensuring a well-rounded learning experience. Collaboration and communication are key, as you will interact with team members and stakeholders to understand data requirements and present your findings. This program is an excellent springboard for a fulfilling career, offering exposure to diverse business challenges and the chance to develop a specialized skill set in a supportive, remote-first environment. We are looking for enthusiastic individuals ready to make a tangible contribution and grow with our client, impacting business strategies and operational efficiency from Milton Keynes, Buckinghamshire, UK , all conducted remotely.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development and maintenance of data dashboards and reports.
- Learn and apply statistical methods and data modeling techniques.
- Contribute to data-driven problem-solving initiatives across different departments.
- Collaborate with senior analysts to interpret data and generate actionable insights.
- Assist in documenting data sources, methodologies, and findings.
- Participate in training sessions and professional development activities.
- Communicate findings clearly and concisely to team members.
Qualifications:
- 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 critical thinking skills.
- Proficiency in Microsoft Excel.
- Familiarity with database concepts and SQL is a plus.
- Basic knowledge of programming languages like Python or R is advantageous.
- Excellent communication and interpersonal skills.
- Ability to work independently and manage time effectively in a remote setting.
- Enthusiasm for learning and a proactive attitude towards challenges.
This advertiser has chosen not to accept applicants from your region.
7
Senior Agronomist - Remote Data Analysis
CB2 Cambridge, Eastern
£60000 Annually
WhatJobs
Posted 12 days ago
Job Viewed
Job Description
A pioneering agricultural technology company is seeking an experienced Senior Agronomist with a specialization in remote data analysis to join their innovative team. This fully remote role will focus on leveraging advanced data analytics, satellite imagery, and IoT sensor data to provide actionable insights for optimizing crop yields and sustainable farming practices. The successful candidate will work closely with farm managers and agricultural stakeholders across the UK and internationally, offering expert guidance from their home office. This is a fantastic opportunity to be at the forefront of agricultural innovation and contribute to a more sustainable food future.
Responsibilities:
Qualifications:
Responsibilities:
- Analyze large datasets from various sources, including satellite imagery, drone data, weather stations, and soil sensors, to identify trends and patterns in crop health and performance.
- Develop and refine models for predicting crop yields, disease outbreaks, and nutrient deficiencies.
- Provide expert agronomic recommendations based on data analysis to improve farm management practices, optimize irrigation, and enhance soil health.
- Collaborate with cross-functional teams, including data scientists, software engineers, and field agronomists, to develop and deploy data-driven agricultural solutions.
- Create comprehensive reports and visualizations to communicate findings and recommendations to clients and stakeholders.
- Stay current with the latest advancements in precision agriculture, remote sensing technologies, and agricultural data analytics.
- Assist in the development and testing of new data analysis tools and platforms.
- Offer remote agronomic support and advice to farmers and agricultural businesses.
- Ensure data accuracy and integrity throughout the analysis process.
- Contribute to the company's research and development efforts in agricultural science.
Qualifications:
- MSc or PhD in Agronomy, Agricultural Science, Crop Science, or a related field with a strong emphasis on data analysis.
- Minimum of 7 years of experience in agronomy or agricultural science, with at least 4 years focused on data-driven insights and remote sensing technologies.
- Proficiency in analyzing agricultural datasets using statistical software and tools (e.g., R, Python, SPSS).
- Experience with GIS software and remote sensing data analysis platforms (e.g., ArcGIS, QGIS, Google Earth Engine).
- Strong understanding of plant physiology, soil science, and crop management principles.
- Excellent analytical, problem-solving, and critical thinking skills.
- Exceptional communication and presentation skills, with the ability to explain complex data to diverse audiences.
- Proven ability to work independently and collaboratively in a fully remote environment.
- Familiarity with IoT devices in agriculture is a plus.
- Experience in the **Cambridge, Cambridgeshire, UK** region's agricultural or technology sectors is advantageous but not required for this remote role.
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8
Remote Graduate Trainee - Data Analysis
L1 1AA Liverpool, North West
£25000 annum (pro
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client is offering an exceptional opportunity for motivated graduates to join their organisation as Remote Graduate Trainees in Data Analysis. This is a fully remote, structured training program designed to equip enthusiastic individuals with the essential skills and knowledge required to excel in the field of data analysis. You will gain hands-on experience working with real-world datasets, learning to extract meaningful insights, and contributing to data-driven decision-making across various business functions.
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
This program is ideal for recent graduates with a strong quantitative background and a keen interest in data. You will receive comprehensive training in data manipulation, statistical analysis, data visualisation, and relevant software tools such as SQL, Python, and R. Mentorship from experienced data professionals will guide your development, providing practical support and career advice. The role demands a high level of analytical thinking, problem-solving skills, and a meticulous attention to detail. As a remote trainee, you will need to demonstrate strong self-discipline, excellent time management, and effective communication skills to collaborate with your cohort and supervisors. This internship offers a fantastic foundation for a career in data science, business intelligence, or related analytical fields, providing valuable industry experience from the outset.
Key Responsibilities:
- Assist in collecting, cleaning, and processing large datasets.
- Perform data analysis to identify trends, patterns, and insights.
- Develop data visualisations and reports to communicate findings.
- Support senior analysts in various data-related projects.
- Learn and apply statistical methods and analytical techniques.
- Gain proficiency in data analysis tools and software (SQL, Python, R).
- Collaborate with team members in a remote setting.
- Contribute to documentation and knowledge sharing.
- Participate actively in training sessions and workshops.
- Help to ensure data accuracy and integrity.
- Recent graduate with a degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Economics, Engineering).
- Strong analytical and problem-solving abilities.
- Aptitude for working with numbers and data.
- Basic understanding of statistical concepts is beneficial.
- Familiarity with programming languages like Python or R is a plus.
- Excellent written and verbal communication skills.
- Ability to work independently and manage time effectively.
- Strong attention to detail.
- Enthusiasm for learning and developing data analysis skills.
- Access to a reliable internet connection for remote work.
This advertiser has chosen not to accept applicants from your region.
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