26 to 50 of 704 Statistical Analysis Jobs in the UK

into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. Key responsibilities Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power … clear, actionable manner. Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis. Skills, knowledge and expertise Technical skills: Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights. Data Management & Governance: Knowledge of … ability to create clear, accessible, and engaging data presentations. Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations. Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges. Business & Communication Skills: Stakeholder Engagement More ❯

into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. Key responsibilities Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power … clear, actionable manner. Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis. Skills, knowledge and expertise Technical skills: Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights. Data Management & Governance: Knowledge of … ability to create clear, accessible, and engaging data presentations. Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations. Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges. Business & Communication Skills: Stakeholder Engagement More ❯

into delivery teams. You will provide advanced data modelling, predictive analytics, and data visualisation, allowing us to deliver more sophisticated and customised solutions to our clients. Key responsibilities Data analysis and reporting: Conducting in-depth data analysis, generating reports, and providing actionable insights for client projects. Data and BI visualisation: Producing BI dashboards using industry-standard tools - Power … clear, actionable manner. Mentoring and/or line managing: Junior analysts, leading data-focused projects, and setting best practices in data analysis. Skills, knowledge and expertise Technical skills: Data Analysis & Insight Generation: Strong analytical skills, including statistical analysis, data mining, and qualitative research, with the ability to synthesise data into actionable insights. Data Management & Governance: Knowledge of … ability to create clear, accessible, and engaging data presentations. Quality Assurance & Validation: Experience in ensuring data accuracy through validation, cleansing, linkage, and peer review, while effectively communicating data limitations. Statistical & Analytical Techniques: Knowledge of key statistical methods (e.g., regression, clustering, hypothesis testing) and ability to apply emerging analytical approaches to solve business challenges. Business & Communication Skills: Stakeholder Engagement More ❯

shaping our data strategy and driving business growth. Responsibilities: Collaborate with cross-functional teams to understand business objectives, identify data requirements, and define analytics goals. Develop and implement data analysis strategies using AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. Design and build robust data pipelines and ETL processes to extract, transform, and … load data from diverse sources into AWS for analysis. Apply advanced statistical and machine learning techniques to perform predictive and prescriptive analyses, clustering, segmentation, and pattern recognition. Identify key metrics, develop meaningful KPIs, and build dashboards and visualisations using Amazon QuickSight to enable data-driven decision-making. Conduct exploratory data analysis to uncover trends, patterns, and insights that … proficiency in AWS analytics services, such as Amazon Redshift, Amazon Athena, Amazon EMR, and Amazon QuickSight. 4.Solid understanding of data modelling, ETL processes, and data warehousing concepts. 5.Proficiency in statistical analysis, data mining, and machine learning techniques. 6.Proficiency in programming languages such as Python, R, or Scala for data analysis and modelling. 7.Experience with SQL and NoSQL 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 ❯

with cross-functional teams (e.g., Marketing, Operations, Finance) to understand business needs and provide data-driven recommendations. Identify key performance metrics (KPIs) and monitor performance against business goals. Use statistical methods and data modelling techniques to analyse trends and forecasts. Automate repetitive data processes to improve efficiency and accuracy. Present findings and insights clearly to both technical and non … Required Skills and Experience Proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) and Excel. Strong SQL skills for querying and analysing data from relational databases. Experience with statistical analysis tools (e.g., Python, R, SPSS) is a plus. Solid understanding of data structures, data cleaning, and transformation techniques. Exceptional problem-solving skills and attention to detail. Ability More ❯

will define and maintain reports to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect: 25 days' holiday (increasing by More ❯

maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell the story and let the … data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. BASIC QUALIFICATIONS - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with … one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive More ❯

judgments and get the right things done. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This role requires an individual with excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and have the ability to strongly utilize the GenAI technologies to analyse and solving problem, able to collaborate with product … Translate business problems into analytical requirements and define expected output 2) Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Responsible for deep-dive analysis on key metrics. 3) Create & execute analytical approach to solve the problem inline with stakeholder expectation 4) Strongly leveraging GenAI technologies to solve problems and building solutions 5) Be … NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline More ❯

modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques … to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. Utilize Life Cycle Assessment (LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers … enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R More ❯

modeling, predictive analytics, and computational intelligence to analyze complex systems, support strategic decision-making, and optimize sustainability outcomes. Responsibilities include, but are not limited to: Develop advanced mathematical and statistical models to support data-driven insights and decision-making. Design and implement predictive and prescriptive analytics frameworks to assess and forecast key trends. Apply AI and machine learning techniques … to enhance data-driven methodologies. Conduct real-time analytics to track ongoing trends and develop automated monitoring systems. Perform scenario analysis and simulation modeling to evaluate potential outcomes and strategic interventions. Utilize Life Cycle Assessment (LCA) methodologies to support data-driven impact assessments. Build optimization models to enhance efficiency and sustainability within complex systems. Collaborate with data scientists, engineers … enhance analytical methodologies. Qualifications and Skills: Master’s or Ph.D. in Mathematics, Data Science, Statistics, Environmental Science, AI, Computational Modeling, or a related field. Strong expertise in mathematical modeling, statistical analysis, and computational techniques. Proficiency in AI and machine learning algorithms, particularly in predictive modeling and data-driven decision-making. Experience with programming languages such as Python, R More ❯

a mission-driven Data Scientist to join our team supporting high-impact initiatives in the Defence and National Security sector. You will apply advanced analytical techniques, machine learning, and statistical modelling to solve complex operational challenges. Working within a secure, multidisciplinary environment, you'll help deliver data-driven insights to support decision-making, threat detection, intelligence analysis, and … national defence strategies. Key Responsibilities Develop and deploy data models, machine learning algorithms, and statistical analyses to support defence and national security operations. Work with structured and unstructured data from diverse sources such as sensors, ISR feeds, satellite imagery, communications, cyber threat logs, and intelligence reports. Collaborate with domain experts, analysts, and engineers to understand mission needs and translate … Active EDV/UK*C security clearance. Proficient in Python and/or R, with experience using data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and cloud platforms (e.g., Hadoop, Spark, Azure More ❯

transitioning to the project team responsible for delivering the technological aspects of our transformation initiatives. Key Responsibilities: Data Synchronisation and Management: Assist in the synchronisation, management of tools, and analysis of data for reporting purposes. AI Integration: Leverage AI to streamline and automate processes, enhancing efficiency and accuracy. Data Analysis: Conduct data pre-processing, statistical analysis … applied to the apprentice’s role and maximises the time used as part of off-the-job training. Microsoft Office Specialist: Excel Associate. Data and Visualisation using SAS Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional). An apprenticeship has to be relevant to the More ❯

teams to identify opportunities for enhancement, make informed recommendations, and contribute to the strategic direction of our two sided marketplace platform. This role requires a deep understanding of data analysis, market trends, and a strong ability to work with or mentor other analysts in the team to communicate findings effectively to stakeholders. Key Responsibilities: Data Analysis and Insights … a data-driven culture within the organisation by sharing best practices and insights. Continuous Learning Stay up-to-date with industry trends, best practices, and emerging technologies in data analysis and product analytics. Continuously improve data collection processes and tools. Bachelor's or Master's degree in a related field (e.g., Data Science, Statistics, Business Analytics). 7+ years … of experience with at least 3+ years of experience as a Product Analyst, or similar role in a 2-sided marketplace or e-commerce environment. Proficiency in data analysis tools and languages such as SQL, Python, or R. Strong knowledge of data visualisation tools (e.g., Tableau, Power BI, Looker). Experience with A/B testing, experiment design, and More ❯

BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to … across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. … reports such as Power BI, Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial More ❯

BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to … across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. … reports such as Power BI, Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial More ❯

BI, WebApp and data product interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile planning, governance, and execution to … across various stages of End-to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and artifacts for product delivery (e.g. … reports such as Power BI, Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in business case development and financial More ❯

clients to answer their business questions and drive bottom-line performance improvement through Analytics and AI. Co-create and co-design data and intelligence products with stakeholders to convert analysis into insight to be consumed rapidly, addressing data needs of senior leaders in the sector and have a direct impact on service delivery and consumers. Develop and apply your … handling, e.g. data querying, data manipulation or data wrangling to transform raw data into the desired format for analytics and visualisation. Hands-on experience with data analytics, including accurate statistical analysis, and the ability to visualise and interpret the results for senior business stakeholders. Experience in producing dashboards and interactive visual reports using several BI tools such as … leaning on visualisation best practices. An awareness of data and technology landscapes, including knowledge of some tooling and platform options (e.g., visualisation tools, data warehousing platforms, data preparation platforms, statistical analysis tools). Experience in managing the delivery of solutions using any of the following: Google Cloud Platform, Amazon Web Services, Microsoft Azure. An understanding of good data More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives • Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data • Collaborate cross-functionally with data engineers, data scientists, and business partners to define and More ❯

company's reputation and brand globally, and developing data-driven strategies for reputation management. Key Responsibilities Oversee global reputation studies and qualitative research programs. Manage social listening and sentiment analysis across digital and traditional media platforms. Evaluate brand measurement and ROI from advertising and sponsorships. Develop KPIs and track performance metrics. Coordinate with internal teams to assess impacts of … communications activities. Manage the central repository of reputation and brand data. Handle contracting and invoicing with agencies. Conduct statistical analyses on datasets for driver analysis. Design surveys and data sourcing strategies ensuring statistical relevance and cost efficiency. Qualifications Master’s degree in Computer Science, Data Science, or related field. Minimum 15 years of experience in data science or … analytics. Strong communication and presentation skills. Extensive experience in research, data analysis, visualization, machine learning, and statistical modeling. Proficiency with tools like SPSS, Power BI, Tableau, Pulsar, and audience intelligence software. Proficiency in Python, R, and SQL. Work Environment We offer challenging projects, competitive remuneration, and extensive talent development programs to support career growth in a global energy More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

happening daily at Coalition. About the role As a Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. You will perform statistical analysis to provide data-driven insights. You will help us understand and improve our cyber risk selection and reduction, pricing and automation in order to grow our revenue … in a safe and efficient manner. Responsibilities Analyze diverse datasets including claims data, cybersecurity risk signals, and underwriting databases to extract meaningful patterns and insights Large scale data analysis with the objective of producing valuable risk signals to be used for underwriting or risk evaluation of organizations Create comprehensive reports on underwriting efficiency metrics and risk selection quality to … inform strategic decisions Apply statistical techniques to evaluate and improve our cyber risk assessment methodology Provide analytical support for underwriting strategies to balance growth with risk management Deliver analysis that will directly inform the development of automated underwriting systems Collaborate cross-functionally with actuarial, product, and engineering teams to implement data-driven improvements Work alongside senior data scientists More ❯

new role As a Business Intelligence Data Analyst, you will transform raw data into actionable insights to inform business decisions and monitor performance. You will lead the full data analysis lifecycle, from requirements analysis and data modelling to designing reusable metrics and front-end report development.A crucial part of your role is ensuring that key metrics and findings … Oversee and improve existing business insights reports, ensuring data accuracy and integrity. Design and build reports, dashboards, and analytical solutions using SQL, Power BI, and other tools. Perform advanced statistical analysis and interpret trends in large datasets. Extract and prepare data for regulatory submissions and external reporting. Provide expert guidance on data queries and support ad-hoc reporting … or DataBricks is preferred. Expertise in T-SQL to write complex queries and stored procedures. Understanding of database optimisation, data mining, auditing, and segmentation. Skilled in data visualisation and statistical techniques such as linear regression. Ability to conduct user acceptance testing and ensure data integrity. Confidence to challenge existing processes and recommend improvements. Effective communication skills and the ability More ❯