1 to 25 of 75 Statistical Analysis Jobs in the UK excluding London

responsibilities - Serve as the Voice of the Customer from initial concept creation to launch, and subsequent support of the product. - Drive product development efforts, including research, requirements definition, metrics analysis, technical specifications, development, and launch efforts. - Assist in developing new products by evaluating the business and competitive landscape, understanding customer needs and value drivers. - Write business and product requirements … tradeoffs of a product - Experience contributing to engineering discussions around technology decisions and strategy related to a product - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning More ❯

may be available for exceptional candidates. The ideal candidate will have a minimum of 5 years' experience in data science or a related field, with extensive knowledge of advanced statistical analysis and machine learning algorithms. Proficiency in Python, R, and SQL is essential. As a Senior Data Scientist, you will play a key role in developing data solutions … valuable insights from complex datasets, develop advanced machine learning models, and drive data-driven decision-making across the organisation. Main Duties Design and implement sophisticated machine learning algorithms and statistical models to solve complex business problems Collaborate with cross-functional teams to identify opportunities for data-driven solutions and improvements Develop and maintain scalable data pipelines for efficient data … processing and analysis Create compelling data visualisations and reports to communicate findings to both technical and non-technical stakeholders Mentor junior data scientists and contribute to the overall growth of the data science team Stay abreast of the latest advancements in data science and machine learning, incorporating new techniques and technologies as appropriate Contribute to the development of best More ❯

further develop and enhance our Career business, which specializes in compensation and analytical solutions but may stretch across many subject matter domains. We will count on you to: Data Analysis and Interpretation : Utilize advanced analytical techniques to interpret compensation survey data, identifying trends and insights that inform strategic decision-making. R Programming and excel Proficiency : Develop and implement R … code for data manipulation, statistical analysis, and visualization to support compensation benchmarking initiatives. Utilize advanced capabilities of Excel to further develop and test our approaches. Collaboration with Data Scientists : Work closely with data scientists to design and execute analytical models that enhance the understanding of compensation trends and market positioning. Business Requirements Gathering : Engage with stakeholders to gather … stay informed about industry trends, compensation practices, and emerging analytical techniques relevant to compensation benchmarking. Build our methods : Provide discovery, validation, and knowledge sharing for best practices in data analysis, R programming, and compensation benchmarking. Continuous Improvement : Identify opportunities for process improvements within the data analysis workflow, leveraging technology and innovative approaches to enhance efficiency and effectiveness. What More ❯

and strategic decision-making and planning to maximize client service and meet accountabilities required by funders. The incumbent is responsible for the provision of data utilization and decision support analysis, monthly and quarterly reporting, management of data quality, administration of risk-management initiatives and EMHware, and support for continuous quality improvement initiatives, contributing to the Agency's ability to … achieve identified strategic objectives. Key Responsibilities: Provides Data Utilization and Decision Support Analysis: Analyzes and compiles data from a variety of sources within the customer agency clinical database into meaningful information to support informed, evidence-based, operational, and strategic decisions. Prepares monthly service data reporting for quarterly report submissions to funders. Prepares CAPS service targets with customer clinical management … asset. French Language proficiency considered an asset. Knowledge, Skills and Abilities: Computer applications, Microsoft Office preferred, (relational database, word processing, spreadsheet, presentation, email) as well as internet research and statistical analysis software. Well-developed abilities in statistical analysis and report generation. Knowledge of Management Information Systems (MIS) software and Ontario Health Reporting System (OHRS). Demonstrated More ❯

Risk Salary range: £39,200 - £49,000 Location: UK, Remote Contract type : Permanent (full time) Our Team Stress Testing and IFRS9 Models work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building or providing actionable insights from the data. … We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Provide input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently in … of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally Team building More ❯

Risk Salary range: £39,200 - £49,000 Location: UK, Remote Contract type : Permanent (full time) Our Team Stress Testing and IFRS9 Models work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money’s Model Risk and Analytics function. We use data to support the business through model building or providing actionable insights from the data. … We draw on statistical modelling techniques to produce the best possible predictive models. What you’ll be doing Provide input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently in … of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally Team building More ❯

Risk Salary range: £39,200 - £49,000 Location: UK, Remote Contract type : Permanent (full time) Our Team Stress Testing and IFRS9 Models work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money’s Model Risk and Analytics function. We use data to support the business through model building or providing actionable insights from the data. … We draw on statistical modelling techniques to produce the best possible predictive models. What you’ll be doing Provide input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently in … of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally Team building More ❯

hand with internal and external research and development teams to design high impact pre-clinical, pivotal, and post-market research projects, oversee completion of data collection, and lead the analysis and dissemination of scientific communications. You will play a key role throughout the product lifecycle, collaborating with AI Scientists, Software Engineers, Product Teams, Marketing and Market Access, and Regulatory … diagnostic and prognostic tools into the clinical workflow. Your Responsibilities Lead in the development of research and development protocols, including literature reviews, data selection mechanisms, data management plans, and statistical analysis plans. Contribute to product design and subsequent market authorisation validation, including clinical and research design input Artificial Intelligence and Computer Vision (AICV) process. Contribute to statistical analysis of clinical and imaging data for diagnostic and prognostic research. Contribute to scientific communication to internal and external audiences, including company presentations, cross-departmental presentations, conference presentations, and scientific manuscripts. Support market access and business development activities to develop and refine clinical and business use cases, including return on investment and cost-effectiveness evidence Collaborate with internal More ❯

at a Higher Education Institution in Wales - An interest in using linked data or large datasets in social care research - Knowledge of a range of data science, quantitative and statistical analysis techniques - Skills in using software for statistical analysis (e.g. R/Python/STATA) Closing Date : 25th August 2025 Other organisations may call this role More ❯

continuous learning, experimentation, and innovation. Navigate complex stakeholder environments, balancing competing priorities, managing political dynamics, and driving consensus across global, distributed teams. Support training and enablement initiatives by applying statistical analysis and learning methodologies to improve organizational skills and technology adoption. Serve as an ambassador for Liberty IT's values, innovation, and strategic vision both internally and externally. … business partners and stakeholders at all levels. Comfortable working in ambiguous and rapidly evolving environments; able to adapt and pivot strategically based on lessons learned. Strong analytical skills, including statistical analysis, to support data-driven decision making and learning program effectiveness. Experience influencing senior management and leading strategic initiatives that deliver measurable business outcomes. Desired Criteria Experience within More ❯

sits within the Consultancy side of their business who work in partnership with the defence sector, national government bodies, international institutions and global prime contractors on enterprise transformation, feasibility analysis, systems engineering, programme delivery and support. As an Analytical Consultant, you will be providing the evidence to help the MOD/Government to make better decisions. This may be … support procurement decisions or supporting workshops with customers and stakeholders to improve polices and planning. Our client’s recent successes within UK MOD mean that the company’s Operational Analysis team are looking for consultants who can help them grow and deliver the business. They are interested in people who engage customers technically and personally, with the ability to … provide analytical insight. Responsibilities for the Senior Operational Analyst Consultant will include: Delivering technical consulting projects. · Experience on qualitative and quantitative analysis Identifying and winning work within the MOD/Defence sector. Developing and using a variety of analytical tools and techniques Writing reports and presenting to customers Building new relationships and maintaining the relationships they have with their More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to … documentation, and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the More ❯

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to … documentation, and leadership. Proven experience of line managing a team of analyst as part of a data science project. Knowledge and practical experience in designing algorithms including selection, using statistical and problem centric methods to design actionable outcome across a variety of data types. Proven practical experience and expertise in AI/machine learning methods using data including the More ❯

improve services. You will also use your analytical expertise to identify trends, risks, and opportunities, ensuring housing services are efficient, tenant-focused, and sustainable. Principal duties and responsibilities: Perform statistical analysis, data mining and retrieval processes on a large amount of data, to identify trends, create management dashboards providing in depth insights with a focus on identifying trends. … tools and techniques, such as surveys, focus groups, and data mining. Demonstrated experience in turning raw data into insights that influence business decisions and improve service delivery. Experience with statistical techniques, including trend analysis, segmentation, and regression analysis, to provide meaningful insights. Experience with SQL for querying databases. Solid understanding of key issues in social housing, such More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

exceptional experience of developing and applying data systems to pull together disparate datasets. Experience of planning and managing projects/programmes of work, developing and managing script for repeatable analysis along with the use of statistical techniques to find trends and insight from data is essential. You must have the ability to develop complex technical outputs and offer … input to the development of strategies, plans and business cases. Hands-on exploration of data, dashboards, statistical analysis and predictive modelling. Combine qualitative and quantitative driven insights to recommend potential avenues to the business teams. What are we looking for? Degree in Maths, Economics, Physics or a numerate focused degree (min 2:1) - not essential if you have More ❯

ensuring that they meet defined optical specifications and quality standards. Establish testing protocols for various stages of development. Implement process control techniques to ensure production consistency. Collect and perform statistical analysis on metrology data to identify trends, variances, and correlations to performance metrics. Analyze measurement data and correlate results to key performance indicators (KPIs). Produce comprehensive reports … and production) to identify areas for performance enhancement. Propose and implement improvements in metrology techniques and testing procedures. Create and maintain detailed technical documentation, including test plans, procedures, data analysis reports, and process control records. Minimum Qualifications: Bachelor's or Master's degree in Optical Engineering, Physics, Electrical Engineering, or a related Engineering field. 3+ years of hands-on … experience in optical testing, with a focus on waveguides or similar optical components. Proficiency in statistical data analysis using JMP or Minitab. Familiarity with process control, quality control, and acceptance testing in a high-volume manufacturing environment. Excellent troubleshooting skills with the ability to diagnose issues with optical systems and testing equipment. Strong communication skills, including the ability More ❯

highly skilled and detail-oriented Fuel Pricing Analyst with experience in Excel, Power BI, SQL, and Python. The ideal candidate will have a strong background in strategy building, site analysis, and business intelligence, helping us derive actionable insights to drive strategic decisions and optimize pricing models. This role also requires strong business partnering skills, as the analyst will work … maintain, and optimize dashboards and reports in Power BI to provide clear and actionable insights on fuel pricing and market trends. Utilize advanced Excel functions for data manipulation, trend analysis, and reporting. Write and optimize SQL queries to extract and manage data from multiple sources. (Not a requirement) Use Python for data processing, automation, and advanced analytics related to … fuel pricing and market competitiveness. Conduct site analysis to determine optimal pricing strategies and market positioning. Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions. Work closely with colleagues in the fuel department to help advise pricing suggestions that would further enhance profitability of the business. Partner with various stakeholders across the business More ❯

commercially minded professional to support the financial and strategic decision-making processes across the Group. The successful candidate will play a critical role in delivering robust financial and quantitative analysis, supporting management reporting, and providing insights that inform both operational and investment strategies . RESPONSIBILITIES: Develop, enhance and maintain financial models that support strategic decision-making from daily operations … and leveraging tools such as Excel, R & SQL. Work closely with key business units including Refinery Planning, Economics & Scheduling, Finance, Risk, M&A and Corporate Finance. Deliver insightful quantitative analysis to support their operational and strategic objectives. Prepare detailed financial and performance reports for senior management, including analysis of trading and hedging performance against forecasts, leveraging forward derivative … investments through rigorous financial and commercial due diligence.Prepare pro-forma financial statements (P&L, balance sheet and cashflow) for decision support on an ad-hoc basis. Conduct in-depth analysis on refinery-related projects, including margin and FX risk assessments, working capital management and financing, liquidity forecasting, covenant analysis and economic feasibility reviews of initiatives and projects under More ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring More ❯

experience with Microsoft Power Platform and tools. Strong verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Experience applying a range of statistical analyses to practical decision-making contexts. Experience with web-based data visualization tools (PowerBI, Tableau, D3, Google Charts) and data visualization design principles. Strong foundation in business intelligence principles. More ❯

RF, and enjoys cross-team interaction. Responsibilities include: Define, design, implement, and maintain measurement/test solutions for link/modem validation Define and analyse calibration and metrology aspects (statistical error analysis, confidence levels, error budgets) Develop modular, reusable software in Python (or similar languages) to be implemented in a variety of setups Analyse and troubleshoot link-performance … testers, channel emulators) Physical-layer satellite modem algorithms/standards (DVB-S2, CCSDS) Experience in collaborative software design (GIT, code reviews) Experience in test automation Linux and Windows experience Statistical analysis and metrology This is a fantastic opportunity for a Communications Test Engineer to design and own new cutting-edge products in a fast-paced, innovative environment and More ❯

similar analytics role (gaming, betting, or consumer apps is a big plus) Strong skills in SQL, Python or R, and data visualisation tools (e.g., Tableau, Power BI) Experience with statistical analysis, predictive modelling, and segmentation techniques Understanding of user behaviour analytics, retention metrics, and A/B testing Bonus: Experience with fraud detection or risk analytics Strong attention More ❯

visible to Ring/Amazon leadership, and will drive key strategic company goals. The Business Intelligence Engineer, Ring Decision Sciences Platform BI team will develop models and tools, conduct statistical analyses, evaluate large data sets, and create tailored models and dashboards. Additionally, you will be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and … extracting, integrating, and analyzing critical data Anticipate, identify, structure, and solve critical problems Design and develop key performance metrics and indicators using standardized and custom reports Perform ad hoc analysis to quickly solve time sensitive operational issues and business cases. Clearly communicate any potential data discrepancies and/or reporting downtime, including specific root cause, steps to resolution, and … within Decision Sciences and the team where this role is based) is responsible for core business metrics, shared data models, AI/ML models, business intelligence dashboards, and business analysis/science support. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience More ❯