54 Data Collection jobs in the United Kingdom

We are seeking an experienced operations professional to manage critical data acquisition infrastructure supporting advanced AI model development. This contract role requires exceptional operational acumen, demonstrated ability to scale complex workflows, and meticulous attention to quality standards across high-volume data collection initiatives.

Strategic Operations Management

• Oversee end-to-end execution of multiple concurrent data acquisition programs encompassing speech, visual, textual, and audio content streams

• Develop and implement scalable operational frameworks ensuring consistent achievement of volumetric targets while maintaining stringent quality thresholds

• Drive continuous process improvement through systematic identification and elimination of operational inefficiencies

Stakeholder & Contributor Management

• Design comprehensive contributor engagement strategies optimizing recruitment, onboarding, retention, and successful task completion

• Establish robust support infrastructure delivering timely resolution of technical and procedural inquiries

• Cultivate productive relationships with internal stakeholders through transparent communication and data-driven insights

Quality Assurance & Compliance

• Implement rigorous quality control methodologies maintaining data acceptance rates exceeding 95%

• Ensure strict adherence to data governance protocols, consent management, and regulatory requirements

• Develop predictive quality indicators enabling proactive intervention and remediation

Performance Analytics & Reporting

• Generate comprehensive operational intelligence providing actionable insights for strategic decision-making

• Establish KPI frameworks measuring throughput, quality, efficiency, and contributor satisfaction

• Deliver regular executive summaries highlighting achievements, challenges, and optimization opportunities

This position offers complete location flexibility within European time zones. Candidates must maintain reliable high-speed internet connectivity and professional home office environment conducive to managing distributed operations.

Qualified candidates should demonstrate clear alignment with outlined competencies and provide specific examples of operational excellence in similar environments. We value diverse perspectives and encourage applications from candidates with non-traditional backgrounds who possess relevant transferable skills.

Professional Experience

• Minimum 1-3 years operational management experience within data-intensive environments (crowdsourcing platforms, research operations, content moderation, or similar domains)

• Demonstrated success managing distributed contributor networks (100+ simultaneous participants)

• Proven ability to meet aggressive performance targets while maintaining exceptional quality standards

Technical & Analytical Competencies

• Proficiency in operational tools and platforms for workflow management, data tracking, and process automation

• Strong analytical capabilities with experience translating complex data into actionable operational strategies

• Familiarity with quality assurance methodologies and statistical sampling techniques

Communication & Leadership

• Exceptional written and verbal communication skills in English (additional languages highly valued)

• Experience delivering technical support through multiple channels (email, chat, ticketing systems)

• Ability to influence without authority and drive results through collaborative partnerships

DATA ANALYST TRAINER - (BOOTCAMPS&APPRENTICESHIPS) - £45,000 - FULLY REMOTE (MUST BE UK BASED)

SLS Recruitment are working with a leading IT & Digital Training provider and they have a new opportunity for a Data Analyst Trainer to work across their skills bootcamp and apprenticeship provision. This is a fully remote role and will offer a salary of up to £45,000. This opportunity would suit someone who has experience of delivering training in the technology below.

To be considered for this opportunity you will have the following:

• MUST HAVE DELIVERED TRAINING PREVIOUSLY
• MUST HAVE A TEACHING OR ASSESSING QUALIFICATION
• Knowledge of Excel, Access, R, SQL, Power BI and Azure fundamentals.
• Experience of delivering training in Data Analysis a minimum of 1 year.
• A relevant qualification in Data Analysis, ideally at degree level.

As a Data Analyst Trainer you will work with Curriculum, IQA and Service Delivery Teams. You will adapt different ways of working and be able to establish individual learning needs and introduce new ways of working.

For further information on this opportunity to work with a provider who continues to grow, please apply now.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.