26 to 50 of 185 Statistical Analysis Jobs in England

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 ❯

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 ❯

Job Description Summary Responsible for all statistical programming, data review, reporting, and analytics development aspects of several studies, including medium to large-sized projects or project-level activities. Acts as a key collaborator and strategic partner to ensure efficient execution of drug development plans with timely and high-quality deliverables. Ensures compliance with project/study standards and specifications … following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting, and adherence to timelines. Job Description Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. We are optimizing and strengthening our processes and ways of working, investing in new technologies, and building therapeutic area and platform capabilities to … people with disease and their families a brighter future. Apply today and join a team where we thrive together! The Role The Senior Principal Programmer is responsible for all statistical programming aspects of several studies or project-level activities, including submission and post-marketing activities. The role is a key collaborator and strategic partner with biostatistics, ensuring efficient execution More ❯

workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using 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 ❯

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 ❯

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 ❯

to transform healthcare How you'll help us make health happen: Leading and supporting end-to end healthcare data science projects including business case development, data processing, exploratory and statistical analyses, machine learning and model development on a diverse range of complex healthcare datasets. Health programme evaluation including the use of clinical outcomes, health and wellbeing measures, customer experience … this role: Applied experience in Data Science within a healthcare or clinical setting Demonstrated expertise in medical statistics, epidemiology, and population health, with a proven ability to apply advanced statistical techniques to complex health datasets. The candidate should possess a deep understanding of study design, statistical modelling (e.g., survival analysis, regression techniques, longitudinal data analysis), and … learning and discovery, continuously seeking to understand the 'why' behind the data and its clinical implications. Nice to Have Proficiency in R and Power BI. Understanding of clinical genomics analysis, including the interpretation of genomicvariants in the context of disease prevention, cancer genomics, and pharmacogenomics. Experience in health economics, including the application of economic evaluation methods such as cost More ❯

within the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access More ❯

improve efficiency and quality of strategic business decisions. Key job responsibilities • Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. • Collaborating with software development teams to implement analytics systems and … data structures to support large-scale data analysis and delivery of reports. • Identifying data needs and driving data quality improvement projects. • Thought leadership on data mining and analysis. Understanding the broad range of Amazon's data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. BASIC QUALIFICATIONS - 2+ years … 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) - Bachelor's degree in engineering, statistics, computer science, mathematics, or a related quantitative field More ❯

both venture capital and strategic firms. Key Responsibilities: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilize econometric techniques like regression analysis, time series modeling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimization: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimization, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Required Skills: Strong Econometrics Background: Expertise in statistical methods like linear regression, generalized linear models, panel … data analysis, and time series forecasting. Data Science Proficiency: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modeling, and visualization libraries. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. 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). … infrastructure optimization. Required Qualifications and Experience: Bachelor's or master's 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 ❯

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). … infrastructure optimization. Required Qualifications and Experience: Bachelor’s or master’s 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 ❯

Location: London Reporting to: Executive Director Biostatistics The Senior Statistical Programmer at Orchard Therapeutics is a key member of a Biostatistics team working to provide transformative gene therapies to patients. Reporting to the Executive Director Biostatistics, this role provides a unique opportunity to use your programming skills in the production of data analyses from all phases of clinical drug … development. Key Elements and Responsibilities In this role you will be expected to perform programming activities across multiple studies or projects to deliver datasets and statistical outputs to agreed timelines and quality. This will be a hands-on role in which you will be expected to produce both datasets and outputs. Key responsibilities will include: Writing SAS programs to … create analysis datasets, tables, listings, and figures. Adhere to CDISC standards for data management and analysis, including SDTM (Study Data Tabulation Model) and ADaM (ADAM Data Model). Deliver all required outputs to agreed timelines and quality, (e.g., analysis datasets, pooled datasets, tables, figures and listings for regulatory or reimbursement submissions and publications). Participate in the More ❯

Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Evaluate and optimize thermal solution requirements of … consumer electronic products - Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products - Validate design modifications for thermal concerns using simulation and actual prototypes - Establish temperature thresholds for user comfort level and component level considering reliability requirements - Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use … of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and More ❯

read-outs Analysing large and complex global datasets, identifying trends, anomalies, and opportunities across financial and operational domains Supporting the Finance team in forecasting, scenario modelling, and business case analysis with data-backed insights Leading cross-functional analytics projects across markets, products, and business models, ensuring high analytical standards and storytelling Using enablement & storytelling to distill complex findings into … governance You will have Experience in an analytical role working with large, granular datasets Fluency in SQL for data extraction & transformation plus working knowledge of Python or R for statistical analysis are beneficial Advanced experience of at least one major BI platform (Tableau, Looker, Power BI, Rill, etc.) with a portfolio of interactive dashboards A proven track record … running or evaluating experiments A/B tests (power analysis, lift vs. confidence, segmentation) Domain exposure to Ad Tech (DSP, SSP, programmatic auctions) or financial/trading data would be preferred Comfort with high-velocity event streams and real-time metrics Solid grounding in classical statistics (hypothesis testing, regression, significance, p-value pitfalls) Ability to translate data into plain More ❯

automate insights, or improve decision-making. Gathering, processing, and managing data from disparate sources, ensuring data accuracy and integrity. Cleaning and preprocessing data to prepare it for analysis. Performing statistical analysis to understand data characteristics, trends, and patterns, and validating hypotheses. Developing predictive models using machine learning algorithms to forecast trends and outcomes, including training, testing, and optimizing … Upholding ethical data practices and ensuring compliance with legal regulations to protect privacy and security. What are we looking for: Working knowledge of Python, R, or similar languages and statistical methods. Experience with data processing, cleaning, and management, including ETL pipelines. Skills in data analysis, visualization, and storytelling with data. Analytical problem-solving and critical thinking abilities. Awareness More ❯

through data-driven insights. Key job responsibilities For this role we are looking for someone who can: Independently design and lead quant-focused UX research projects (survey design, implementation, statistical analysis, quant usability, etc.) Triangulate and synthesize survey insights with engagement metrics, live experiment metrics, user logs, and qualitative insights and turn them into compelling narratives and actionable … and teams, managing complex relationships and building consensus when faced with discordant views Own the end-to-end lifecycle of the study design, including survey design, survey programming, fielding, analysis, reporting, and communicating research initiatives, etc. Demonstrable experience in any of the following areas (multiple areas preferred): sample design, conjoint surveys, data wrangling, nonresponse adjustment, survey weighting, causal analysis … including developing and validating survey measures and/or assessments and applying quantitative methods to business and industry settings Proficiency in experimental and quasi-experimental methods Experience with data analysis package (R, SAS, Matlab, SPSS, etc.) Demonstrated mastery of statistical modeling and hypothesis testing Strong skill with R, Python, or similar languages Proficiency with SQL and data visualization 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 ❯

leverage this data to continuously enhance our tools and services. The team transforms abstract questions into quantifiable metrics and back into a story to make data driven decisions. Using statistical tools and deep analysis methods we are able to find some treasures and needle-moving insights within our data. We are looking for someone who is not afraid … Strong communication and collaboration skills, with the ability to effectively communicate technical concepts to non-technical stakeholders and build strong relationships across teams. Advanced SQL skills and experience with statistical analysis, particularly in dynamic environments with limited data Experience integrating qualitative insights with quantitative data to drive product strategy Experience with generative AI technologies - A plus Stock Options. More ❯