What Jobs are available for Statistical Analysis in the United Kingdom?

ELECTRONICS ENGINEER (DATA ANALYSIS / DEFENCE SYSTEMS)

Location: Bolton (On-site)
Engagement: Contract (Outside IR35)
Duration: 12 Months
Rate: 50 per hour (outside IR35)
Security Clearance: SC required or Eligible

About the role

We seeking an experienced Electronics Engineer with strong data analysis capability to join a small, embedded team delivering project work. The role will suit a hands-on engineer who combines traditional electronics and hardware design experience with analytical skills to interpret and process technical data.

Key Responsibilities

• Design, develop and validate electronic hardware within analogue and digital circuits, PCB design, EMC compliance
• Build scripts and tools (e.g. MATLAB, Python, or Excel-based analysis) to automate data cleaning, trend detection, and statistical correlation.
• Perform detailed analysis of test, telemetry, and performance data associated with electronic subsystems and embedded components.
• Collect, process, and analyse datasets from lab testing, environmental trials, and system telemetry.
• Produce data-driven reports and visualisations summarising performance metrics and anomalies.

If you are interested, please send an email with your latest CV.

ELECTRONICS ENGINEER (DATA ANALYSIS / DEFENCE SYSTEMS)

Location: Bolton (On-site)
Engagement: Contract (Outside IR35)
Duration: 12 Months
Rate: 50 per hour (outside IR35)
Security Clearance: SC required or Eligible

About the role

We seeking an experienced Electronics Engineer with strong data analysis capability to join a small, embedded team delivering project work. The role will suit a hands-on engineer who combines traditional electronics and hardware design experience with analytical skills to interpret and process technical data.

Key Responsibilities

• Design, develop and validate electronic hardware within analogue and digital circuits, PCB design, EMC compliance
• Build scripts and tools (e.g. MATLAB, Python, or Excel-based analysis) to automate data cleaning, trend detection, and statistical correlation.
• Perform detailed analysis of test, telemetry, and performance data associated with electronic subsystems and embedded components.
• Collect, process, and analyse datasets from lab testing, environmental trials, and system telemetry.
• Produce data-driven reports and visualisations summarising performance metrics and anomalies.

If you are interested, please send an email with your latest CV.

• Analyze and interpret seismic, well log, and other subsurface data.
• Develop and validate geological models for exploration and production.
• Identify and assess potential hydrocarbon resources.
• Utilize advanced software for data processing and visualization.
• Collaborate with multidisciplinary teams remotely.
• Prepare technical reports and present findings to stakeholders.
• Contribute to risk assessment and mitigation strategies.
• Stay current with new technologies and methodologies in geosciences.
• Mentor junior geoscientists on data analysis techniques.
• Optimize data workflows for efficiency and accuracy.

• MSc or PhD in Geoscience, Geophysics, or a related field.
• Extensive experience in geological data analysis and interpretation.
• Proficiency in industry-standard G&G software (e.g., Petrel, Kingdom Suite).
• Strong understanding of seismic interpretation and well correlation.
• Experience with reservoir characterization and volumetrics.
• Excellent analytical, problem-solving, and critical thinking skills.
• Proven ability to work independently and manage time effectively in a remote environment.
• Strong written and verbal communication skills.
• Ability to collaborate effectively with remote teams.

• Interpret geological data from exploration drilling, geophysical surveys, and outcrop mapping.
• Develop and refine 3D geological models using specialized software.
• Assist in resource and reserve estimation, applying industry-standard methodologies.
• Evaluate geological risks and opportunities associated with mining projects.
• Collaborate with mine engineers, geophysicists, and other geoscientists to optimize mine planning and operations.
• Prepare geological reports, technical memorandums, and presentations for internal and external stakeholders.
• Conduct site visits for project oversight, data verification, and geological assessment (frequency to be determined).
• Ensure compliance with relevant geological standards and best practices.
• Stay updated on advancements in geological modelling software and techniques.
• Contribute to the development of exploration strategies and target generation.
• Review and validate geological data quality from various sources.
• Assist in the geological due diligence process for potential acquisitions or investments.

• Bachelor's or Master's degree in Geology, Earth Science, or a related discipline.
• Significant professional experience in exploration or mining geology.
• Proficiency in geological modelling software (e.g., Leapfrog, Micromine, Vulcan).
• Strong understanding of structural geology, stratigraphy, and mineral deposit types.
• Experience with data analysis, statistical methods, and geological databases.
• Excellent written and verbal communication skills.
• Ability to interpret complex geological information and present it clearly.
• Experience in mineral resource estimation is highly desirable.
• Knowledge of geophysical methods and their application in mining is a plus.
• Must be eligible to work in the UK and willing to undertake occasional site visits.

• 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.

• Design, develop, and optimize bioinformatics workflows for large-scale omics data analysis.
• Perform rigorous statistical analysis and interpretation of high-throughput sequencing data.
• Collaborate with experimental teams to define research questions and design appropriate analytical approaches.
• Develop and maintain databases and repositories for biological data.
• Implement machine learning algorithms for pattern recognition and predictive modeling in biological systems.
• Generate clear and concise reports, presentations, and publications to disseminate research findings.
• Mentor junior bioinformaticians and contribute to the team's technical growth.
• Stay abreast of the latest advancements in bioinformatics, computational biology, and relevant biological fields.
• Ensure data integrity, reproducibility, and adherence to best practices in data management and analysis.

• PhD or Master's degree in Bioinformatics, Computational Biology, Computer Science, Statistics, or a related field.
• A minimum of 5 years of relevant post-graduate experience in bioinformatics or computational biology.
• Proficiency in programming languages such as Python and R, and experience with relevant bioinformatics libraries and packages.
• Demonstrated experience with command-line interfaces and high-performance computing environments.
• Solid understanding of statistical methods and their application to biological data.
• Experience with major omics data types (e.g., RNA-Seq, ChIP-Seq, WGS, proteomics) and their associated analysis tools.
• Excellent problem-solving skills and a meticulous attention to detail.
• Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-expert audiences.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.
• Previous experience in a hybrid work environment is advantageous.

• Gain hands-on experience in collecting, cleaning, transforming, and analyzing data from various sources.
• Learn to use industry-standard tools and software for data manipulation, visualization, and reporting.
• Assist in the development of dashboards and reports to communicate key insights.
• Support senior analysts in identifying trends, patterns, and anomalies in data.
• Understand data governance principles and best practices for data management.
• Receive comprehensive training and mentorship from experienced professionals.
• Undertake a structured learning program leading to a recognized qualification in Data Analysis (e.g., Level 3 or 4).
• Work on diverse projects across different business areas, providing broad exposure.
• Develop critical thinking, problem-solving, and communication skills.

• A minimum of 5 GCSEs at grades 9-4 (A*-C) or equivalent, including Maths and English, or a Level 2 qualification in a related subject.
• A genuine interest in data, technology, and analytical problem-solving.
• Strong attention to detail and a methodical approach to tasks.
• Good communication skills, both written and verbal.
• Ability to work effectively as part of a team.
• Enthusiasm for learning and developing new skills.
• Basic understanding of Excel or other spreadsheet software is beneficial but not essential.
• Candidates must be aged 16 or over and not currently in full-time education.

• Analyse and interpret geological data from various sources (seismic, core, well logs, etc.).
• Develop and manage geological models for mineral exploration projects.
• Identify and evaluate potential mineral resource targets.
• Assess geological risks and contribute to exploration strategy development.
• Prepare detailed geological reports and presentations for stakeholders.
• Collaborate with exploration, geophysics, and engineering teams.
• Provide expert geological advice and support for mining operations.
• Utilise geological software for data analysis, modelling, and visualisation.
• Ensure data integrity and adherence to geological standards.
• Stay updated with the latest advancements in geological sciences and exploration techniques.

• MSc or PhD in Geology, Geophysics, or a related Earth Science discipline.
• Significant experience in mineral exploration or mining geology.
• Proficiency in geological modelling and data analysis software (e.g., Leapfrog, Vulcan, ArcGIS).
• Strong understanding of geological principles and exploration techniques.
• Excellent analytical, problem-solving, and report-writing skills.
• Experience with hybrid work models and ability to travel as needed.
• Effective communication and collaboration abilities.