1 to 25 of 127 Statistical Analysis Jobs in the UK

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯

relevant work experience in either the NHS or local government or voluntary sector Desirable Membership of a relevant organisation Microsoft PL300 Certified Postgraduate training in business intelligence/data analysis/business reporting/statistical analysis Recognized project management qualification Experience Essential Experience of working with data and information either in the NHS or local government or … effectively, escalating when necessary Able to manage tasks through to successful completion in challenging circumstances Excellent verbal and written communication to convey technical concepts to non-technical stakeholders Excellent statistical analysis and interpretation skills High level interpersonal skills Problem solving skills Able to work confidently with large, aggregate reports and data sets Demonstrates the Compass values Leads by More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

nationally significant programmes and regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's … Integrated Rail Plan. Responsibilities: Deliver technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and … government and local authorities. Monitor project-specific budgets and ensure compliance with organisational policies. Requirements: Proven experience in developing and applying transport models in line with industry guidance. Strong statistical modelling and data analysis capabilities. Proficiency in GIS software and scripting languages (e.g., Python, R). Ability to work with noisy or complex datasets and conduct trend-based More ❯

nationally significant programmes and regional investment strategies. As part of a multi-disciplinary team, you'll contribute to the development and application of transport models, undertake geo-spatial and statistical analysis, and support evidence-based decision-making. You'll play a key role in delivering analytical services to support strategic transport planning, including the Department for Transport's … Integrated Rail Plan. Responsibilities: Deliver technical services and manage analytical workstreams to meet stakeholder needs. Develop and apply strategic transport models, including variable demand modelling. Conduct statistical modelling, trend analysis, and bespoke data analytics. Analyse survey data and integrate diverse datasets to generate actionable insights. Use GIS software for spatial analysis and visualisation. Create repeatable scripting and … government and local authorities. Monitor project-specific budgets and ensure compliance with organisational policies. Requirements: Proven experience in developing and applying transport models in line with industry guidance. Strong statistical modelling and data analysis capabilities. Proficiency in GIS software and scripting languages (e.g., Python, R). Ability to work with noisy or complex datasets and conduct trend-based More ❯

Tech Observer is hiring Senior Statistical Programmers and Principal Programmers in UK and Europe on FSP. Job Responsibilities (But not limited to) Carry out all activities according to Tech Observer SOPs working within the framework of the Quality Management System and to Good Clinical Practice (GCP). Ensure adherence to programming guidelines. Implement and follow the latest versions of … CDISC, FDA Guidelines, GCP and other industry standards; Participate in and co-ordinate the Statistical Programming review of Case Report Forms (CRFs), annotated CRFs, database structures and study related documentation (e.g. data validation guidelines). Review and interpret Report and Analysis Plans and provide comments for assigned projects. Develop and review SAS programs and output for the management … of clinical trial data, the tabulation of data, preparation of patient data listings, graphical output, and creation of derived datasets and statistical analysis of data as specified in the Statistical or Report Analysis Plans. Develop SAS programs for ad hoc tables and listings. Write, modify, and maintain programs that produce diagnostics and listing for data review More ❯

normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects. This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/… data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced … statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member of a software development process. Qualifications Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience in More ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

needs into data solutions, develop dashboards, and guide junior analysts. Key Responsibilities Design and execute complex data analyses to support business strategy and operations. Interpret data, analyse results using statistical techniques, and provide actionable insights. Collaborate with stakeholders to identify opportunities for data-driven decision-making. Develop and maintain dashboards and reports to track key performance indicators (KPIs). … accuracy and infrastructure optimization. Required Qualifications and Experience: Bachelors or masters degree in data science, Statistics, Computer Science, Economics, or a related field. 5+ years of experience in data analysis, business intelligence, or related roles. Proficiency in HubSpot CRM. Strong proficiency in SQL, Excel, and data visualization tools (e.g., Tableau, Power BI, Looker). Experience with statistical analysis 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 ❯

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 ❯

Power BI, enabling us to meet statutory obligations and local performance oversight needs. To excel in this role, you should possess an HNC or NVQ Level 4 qualification in statistical analysis or information management, or relevant experience. You should have skills in assessing data integrity, matching, analysis, and strong skills in stakeholder engagement, along with advanced Excel … principles of inclusion and diversity in both employment and the delivery of services. Job description Job responsibilities As the Insight Analyst, you will: Apply tools and techniques for data analysis and data visualisation (e.g. Power BI). Presenting data and analyses in a visually appealing way that directs attention to areas of key interest and importance. Proactively share knowledge … to ensure that the Councils good reputation is maintained and Wiltshire's performance is reflected accurately. Keep up to date with central government requirements for recording, collation, submission and analysis of data relevant to Childrens services. Maintain an excellent understanding of the origin, robustness, potential use and limitations of data both locally and nationally available being able to give More ❯

An Assistant Coastal Data Scientist job specification requires a blend of environmental science knowledge and data analysis skills, focusing on supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. … Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS software, strong analytical and communication skills, and a meticulous attention to detail. Education: A Bachelor's or postgraduate degree in Environmental Science, Data Science, Geography, Oceanography, Marine Science, or a related quantitative fields Technical Skills: Proficiency in … GIS software and statistical analysis tools. Strong analytical and data interpretation skills. Experience with programming languages (e.g., Python or R) is often beneficial. Assistant Coastal Data Scientist Assistant Coastal Data Scientist Assistant Coastal Data Scientist More ❯

An Assistant Coastal Data Scientist job specification requires a blend of environmental science knowledge and data analysis skills, focusing on supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. … Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS software, strong analytical and communication skills, and a meticulous attention to detail. Education: A Bachelor's or postgraduate degree in Environmental Science, Data Science, Geography, Oceanography, Marine Science, or a related quantitative fields Technical Skills: Proficiency in … GIS software and statistical analysis tools. Strong analytical and data interpretation skills. Experience with programming languages (e.g., Python or R) is often beneficial. Assistant Coastal Data Scientist Assistant Coastal Data Scientist Assistant Coastal Data Scientist More ❯

An Assistant Coastal Data Scientist job specification requires a blend of environmental science knowledge and data analysis skills, focusing on supporting coastal projects through data collection, interpretation, and modeling Key responsibilities include using Geographic Information Systems (GIS) and statistical tools for analysis and visualization, collaborating with teams, contributing to predictive models for risk assessment, and preparing reports. … Essential qualifications typically include a degree in a relevant field (e.g., Environmental Science, Data Science, Geography), proficiency in data analysis and GIS software, strong analytical and communication skills, and a meticulous attention to detail. Education: A Bachelor's or postgraduate degree in Environmental Science, Data Science, Geography, Oceanography, Marine Science, or a related quantitative fields Technical Skills: Proficiency in … GIS software and statistical analysis tools. Strong analytical and data interpretation skills. Experience with programming languages (e.g., Python or R) is often beneficial. Assistant Coastal Data Scientist Assistant Coastal Data Scientist Assistant Coastal Data Scientist More ❯

collecting, analysing and presenting data and insights to internal stakeholders and member organisations. You'll work across a range of high-profile projects, from market forecasting and regulatory data analysis to diversity and inclusion reporting. This role is highly varied, combining technical analysis with stakeholder engagement. Key Responsibilities Collecting and managing data from member organisations and third-party … sources (survey data, ONS, regulatory reports, market research, etc.) Conducting analysis in Excel and SQL , with visualisation in Power BI Producing reports and dashboards to inform policy, media, and strategic initiatives Supporting ad hoc projects such as diversity & inclusion statistics and market insights Communicating findings clearly to stakeholders with varying levels of data literacy Requirements Must-haves: Strong experience … research Excellent communication and stakeholder engagement skills Minimum 3 years' relevant experience (ideally 5-7 years) Desirable: Background in financial services, insurance, or market research Experience with Python for statistical analysis What's on Offer Up to £65,000 salary + discretionary bonus (3-10%) 25 days annual leave + birthday off Private medical, gym membership, wellbeing support More ❯

Do you like using a range of statistical methodologies to generate data? Are you able to provide ongoing statistical evaluation and analysis that can support continuous development and improvement of practice education? If so, we would welcome your application. As a Data Analyst (Primary Care), you can expect to be involved in: Conducting psychometric and statistical analysis of data, including but not limited to technology-enhanced learning (TEL) and assessment, and Primary Care Placement capacity. With support from the Digital Education Manager and Placements Manager, designing, implementing and maintaining strategies for ensuring high levels of data quality and accuracy within projects and activities being evaluated Undertaking data entry and processing across a range of … psychology) Experience of working in an office environment with face–to–face contact with a variety of people Excellent IT skills with experience in using MS Office packages and statistical software such as SPSS High level of accuracy and attention to detail, including when maintaining electronic records Excellent communication skills. What we can offer in return: As a member More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,,000 per annum. Permanent position with opportunities for More ❯