26 to 50 of 477 Statistical Analysis Jobs in England

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 ❯

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 ❯

as appropriate. Analyse complex datasets to uncover actionable insights for our audience. Ensure compliance with best practices in data governance. Lead data projects and guide team members in data analysis and governance practices. Build a high-performing team of data analysts, with a blended onshore, nearshore and offshore approach to support effective resourcing. Lead the upskilling of our content … and research teams in data analysis, data-led storytelling and data visualisation. Support the programme to transform our content into data that can be mined for trends and insights by our content creation teams, and also drive the creation of new data analysis tools for our subscribers. Support the development of internal and client-facing products driven by … improved access to, and interrogation of, our existing and potential data. Skills Knowledge and Expertise Technical skills Data analysis and visualisation: proficiency in tools like Infogram, Tableau, and Power BI. Statistical analysis: strong understanding of statistical methods and their application in data analysis. Data management: experience with data cleaning, data warehousing, and data governance. Machine learning More ❯

interfaces for enhanced business insights and recommendations • Understand trends related to Amazon business and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines. Respond with urgency to high priority requests from senior business leaders. BASIC QUALIFICATIONS - 2+ years of analyzing … 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 culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country 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 ❯

Role Description This is a full-time remote role for a Data Analyst at Goss. As a Data Analyst, you will be responsible for analyzing and interpreting data, developing statistical models, and communicating insights. You will collaborate with cross-functional teams to identify patterns and trends, and provide recommendations based on data analysis. The Opportunity You'll define our … etc. User Segmentation: Build our core user personas, define and improve customer level segmentation, and define engagement thresholds Market Making Support: Establish betting lines and improve core algorithms Marketing Analysis: Understand marketing cohort behaviours using facebook ads and cohorts Reporting Infrastructure: Create automated dashboards for daily, weekly, and monthly KPIs Real-Time Optimization: Build systems to monitor and optimize … prediction, lifetime value models, and user progression forecasting Fraud Detection: Create automated systems to flag suspicious betting patterns and user behavior Advanced Analytics: A/B testing infrastructure, cohort analysis, and revenue optimization models Market Intelligence: Competitive analysis and market trend identification What We're Looking For Must-Haves 3+ years in mobile gaming, social casino or sportsbook More ❯

companies, academic institutions, and regulatory agencies across 62 countries. The Associate Director will be responsible for dDesigning, developing, and maintaining R-based tools and workflows for drug discovery, data analysis, and computational simulations. Should be able to adapt existing R scripts and update them to meet new requirements. Ensure code is clean, efficient, and well-documented. Will work closely … with cross-functional teams, including the model-based meta-analysis team, data scientists, and software engineers, to support project goals and deliver technical solutions. Will provide analysis of large datasets related to drug efficacy, pharmacokinetics, and other biological data. Develop statistical models, predictive analytics, and visualizations to inform decision-making in drug development. Responsibilities Validate other team … programming activities. Qualifications Bachelor’s or Master’s degree in Computer Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases 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 ❯

business stakeholders. You will define test hypotheses, develop experimental designs, and oversee the implementation of test variations in collaboration with relevant teams. Monitor test performance and analyse results using statistical techniques to identify significant insights and inform decision-making. Act as a contact point for the Test & Learn system and process, offering support to the business. Provide actionable recommendations … based on A/B test findings to improve business outcomes and drive continuous optimisation efforts. Analytics Conduct ad-hoc and planned pieces of analysis using data from several data sources Retrieve data from databases and data warehouses, but also raw data direct from source systems Ability to analyse and visualize data with goal of telling a story, identifying … complex business problems and deliver value for Aldi UK. Use Case Support Provide general administrative, technical, and business partnering support for data science use cases. Conduct comprehensive research and analysis to understand business requirements, data availability, and feasibility of proposed use cases. You will develop detailed use case documentation, including objectives, scope, success criteria, and implementation roadmap. Working closely 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 ❯

Senior Marketing Data Analyst Role: Senior Marketing Data Analyst Specialism(s): MMM (Marketing Mix Models), Experimentation, Geo-Testing, A/B Testing, SQL, Data Warehouse, Snowflake, Python/R, Statistical Analysis, Stakeholder Engagement, Communication, Presentation Skills Type: Contract, Inside IR35 Location: London (Hybrid) Start: ASAP/Urgent Duration: 6+ Months Pay Rate: TBC – Market Rates Senior Marketing Data … Experience Demonstrable experience working as a Data Scientist, Data Analyst or Marketing Data Analyst Highly proficient in SQL Exposure to Data Warehousing technologies (e.g. Snowflake) Excellent technical proficiency in statistical analysis tools – Python and/or R Proven experience and strong knowledge of regression analysis including MMM and A/B Testing Strong verbal and written communication More ❯

driven solutions to support our company's objectives. What you will be doing Collaborate across departments to understand business objectives and identify data-driven solutions. Apply machine learning and statistical techniques to analyse complex datasets and generate actionable insights. Design and implement algorithms, models, and experiments to solve business problems and optimise product performance. Build and deploy MI and … to both technical and non-technical stakeholders through reports, visualisations, and presentations. The full life cycle of MI, PBI reports, and Dashboard. Work closely with software developers and data analysis teams to produce innovative reports and dashboards. What we are looking for Statistics, Mathematics, or a related field. Excellent problem-solving abilities, analytical skills, and attention to detail. Proficiency … SQL skills Understanding the Relational Database Data Modelling and Data Warehousing experience Strong communication skills to convey complex technical concepts to various stakeholders. Strong understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Experience with documenting processes. Data visualisation tools such as Power BI. What we can offer you 11% non-contributory pension scheme from day More ❯

analysing and interpreting customer data to provide actionable insights that drive business decisions, enhance customer experiences, and improve overall marketing strategies. The role requires a strong understanding of data analysis, customer behaviour, and data visualization, along with the ability to work cross-functionally with marketing, sales, and product teams. The successful applicant will have previous experience with Customer Segmentation … and Analysis, not necessarily from a fashion background. The role sits within a highly successful and profitable fast-growing ecommerce team. Candidates should be prepared to discuss their alignment to the core Kurt Geiger leadership principles of: Love Technology, Work Hard, Be Positive, Know What Good Looks Like, Own Your Own Future, Look For Solutions, Be a Part of … systems, transactional databases, web analytics, etc.) through mParticle and Snowflake our core Customer Data Profile Warehouse. Ensure the accuracy, consistency, and integrity of data used for analysis. Customer Insights & Analysis: Analyse customer data to identify trends, behaviours, and preferences that inform business strategy. Own the Segmentation of the customer base based on demographics, purchase patterns, and behaviour to improve More ❯

decisions. Your work will directly support efforts to improve the employer experience, and in turn, help deliver better outcomes for our members. What you’ll do: Produce clear, actionable analysis and reporting—interpreting trends, patterns, and conducting complex statistical analysis on large, multi-source datasets. Contribute to interactive dashboards, slide decks, and data storytelling to communicate employer … drive value for the business. How you’ll do it: You’ll use, build expertise in, and be open to learning a range of analytics tools to produce robust statistical analysis. These include: R, Python, SQL, Power BI, and Google Analytics — alongside incorporating other tools such as large language models (LLMs) into data analysis and narrative building where … a better retirement for millions. The department includes: Analytics – taking data and creating value for the organisation, understanding our customer and our business; doing descriptive, predictive, and prescriptive behavioural analysis and modelling to help Nest make decisions. Data – planning and delivering how we manage high quality data as an enterprise, making it easy for BI, analysis and modelling More ❯

data strategies to support digital marketing and development initiatives. Work closely with clients to understand their business objectives, data requirements, and challenges. Design and oversee data collection, processing, and analysis frameworks. Analyse data from multiple sources (web analytics, CRM systems, social media platforms, etc.) to identify trends, insights, and opportunities. Create detailed and visually compelling reports and dashboards to … preferably within a digital agency or similar environment. Proficiency with analytics tools such as Google Analytics, Adobe Analytics, Contentsquare and data visualisation platforms (e.g., Tableau, Power BI). Strong statistical analysis skills and experience with data processing tools (e.g., SQL, Python, R). Excellent communication and presentation skills, with the ability to convey complex data insights to non More ❯

be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to “Work Hard. Have Fun. Make History”. Key job responsibilities Key responsibilities - Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system - Independent realization of requirements for Business Intelligence and … parallel - Focus on project delivery BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You’ll Bring Essential Expertise Deep knowledge in AI/Machine Learning, Statistical Analysis, and Algorithm Design Strong experience in Data Lifecycle Management, Predictive Analytics, Data Governance, and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing … scalable data solutions Skilled in Data Commercialisation, KPI Design, Business Analysis, and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to translate complex data into clear business value for non-technical audiences Managerial Capabilities Experience recruiting, coaching, and retaining top data talent Skilled at creating positive, high-performance team cultures Demonstrated success in … United Kingdom 21 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 hour ago Weybridge, England, United Kingdom 2 weeks ago Financial Crime Data Analysis (Assistant Manager) Business Applications/Data Reporting Analyst We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of More ❯

in data strategy, data analytics, decision sciences, and data engineering and infrastructure. This position is within our decision sciences practice which focuses on delivering solutions via machine learning and statistical modelling. What you will do As a part of Aimpoint Digital, you will focus on enabling clients to get the most out of their data. You will work with … organization to build value driving solutions that extract insights and then train them on how to manage and maintain these solutions. Typical solutions will utilize machine learning, artificial intelligence, statistical analysis, automation, optimization, and/or data visualizations. As a Lead Data Scientist, you will be expected to work independently on client engagements, take part in the development More ❯

requires experience in building Business Intelligence solutions, paired with bringing a hands-on data engineering mentality. We seek individuals that enjoy to collaborate across stakeholders and that bring excellent statistical and analytical abilities to the team. Heavy Bulky & Services is a growing Amazon business, designed to enable Customers to enjoy website browsing, product shopping and delivery experience for our … and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

for healthcare environments. Proven experience working with EHR systems and other healthcare technologies. Research Skills Advanced expertise in qualitative research (e.g., interviews, usability testing) and quantitative research (e.g., surveys, statistical analysis). Proficiency in tools such as SPSS, R, Python, or equivalent for data analysis, and Tableau, Power BI, or similar for data visualisation. Experience with user More ❯

build our understanding of performance and customers, embedding these learnings into the Category & In-Stock team's day-to-day decision making. Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights. Influence both strategic and tactical decision-making in our EU Leadership and Category Management teams through strong communication, and by proactively identifying … data literacy and confidence. You Have: 3-5 years of experience in analytics or data science - preferably in fields related to grocery, trading, supply chain. A strong understanding of statistical analysis and experiment design. Expert skills in SQL/Python, able to write structured and efficient queries on large data sets. Experience with dbt is a strong plus. More ❯

of leading analytics teams in ad tech, programmatic advertising, or marketplace platforms. Strong understanding of supply-side dynamics in the digital advertising ecosystem. Expertise in data modeling, ETL pipelines, statistical analysis, and visualization tools (e.g., Tableau, Power BI). Hands-on experience with SQL, Python, R, or similar languages for data analysis. Familiarity with cloud platforms (e.g., AWS More ❯

regulated services, or government frameworks. Ability to structure insight products that align with DBFO obligations, concessionaire expectations, or national infrastructure KPIs. Advanced Analytical and Technical Proficiency - Strong background in statistical analysis, diagnostic modelling, and the use of analytics to support asset management decisions. Hands-on experience in Python and/or R, SQL database interrogation, data modelling, and More ❯

/D3 preferred. Familiarity with cloud computing and ML platforms – AWS platform required, Dataiku and Snowflake experience preferred. Big Data Technologies (e.g. Spark) preferred Strong knowledge of ML algorithms, statistical analysis techniques, and end-to-end MLOps management. Experience with last-mile data engineering and data governance best practices (DBT preferred), including FAIR principles Core Competencies Proven ability More ❯