1 to 25 of 195 Permanent Statistical Analysis Jobs in England

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

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 ❯

Business Analyst II, Order Performance, Trust, Analytics & Experiences (OPTANE) The Order Performance, Trust, Analytics & Experiences (OPTANE) team seeks a Business Analyst to drive strategic economic impact analysis of our marketplace quality initiatives. In this role, you will quantify how OPTANE's seller performance standards, enforcement actions, and trust-building mechanisms/initiatives create business value through improved customer experience … will focus on translating complex operational metrics into clear economic value propositions, enabling data-driven decision-making at all levels of the organization. Key job responsibilities Strategic Business Impact Analysis & Investment Planning Support P&L impact analysis of Order Performance initiatives, connecting seller performance metrics to business outcomes Assist in developing business cases and scenario models for strategic … evaluating performance standards' impact on marketplace health (revenue, selection) Analyze economic trade-offs between immediate metrics and long-term sustainability Measure effectiveness of seller improvement programs through data-driven analysis Impact Measurement Framework Development Support development of self-serve measurement tools for OPTANE teams Help create automated valuation models that scale with business needs Contribute to documentation and knowledge 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 ❯

Central Customer Analytic teams. There will be a steep learning curve, adding a fair amount of business skills to the individual. Key job responsibilities 1) Ability to do exploratory analysis: Fetch data from systems and analyze trends 2) Identify consumer segments that need to be actioned to drive adoption of Amazon Pay 3) Developing India specific customer segmentation models … payments data team provides data and insights to the partner verticals so as to enable them to take decisions. BASIC QUALIFICATIONS - 3+ years relevant experience in financial/business analysis - Experience defining requirements and using data and metrics to draw business insights - Experience making business recommendations and influencing stakeholders - 3+ years of experience with Advanced SQL, advanced Excel and … Data visualization tool like Tableau, Power BI etc. - Strong acumen and relevant experience in hypothesis testing and exploratory data analysis - 5+ years of experience in B2C business across marketing analytics, consumer research, consumer loyalty functions - Ambitious individual with a strong analytic approach and bias for data based judgement, Inquisitive mindset with proven problem solving ability, and a passion for More ❯

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

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 ❯

individual contributor Investment Data Scientists. Develop data-centric strategies and tools to improve investment processes and support deal teams. Support live due diligence by translating complex data into comprehensive analysis under tight deadlines. Perform advanced data analysis, including feature engineering and modeling. Cleanse, integrate, and analyze diverse datasets for insights. Conduct hypothesis testing, statistical analysis, and … modeling. Create and manage a roadmap for analysis improvements and new insights. Incorporate feedback from investment teams to enhance diligence outcomes. Collaborate with data and insight teams to add features and ensure data quality. What you'll do Analyze complex datasets to extract insights for investment strategies. Work with internal and external teams on data-driven growth initiatives. Manage … skills, including presentation and storytelling. Knowledge of investment, valuation, and growth principles. Advanced Python and SQL skills. Experience with machine learning and large datasets. Skills in data visualization and statistical modeling. Familiarity with AWS and Git. Company Information The Carlyle Group (NASDAQ: CG) manages $453 billion in assets, with a diverse global presence and a commitment to inclusion and 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 ❯

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

proactive operations in the customer and vehicle domains. Pricing Modelling - Develop models that forecast trends, improve decision-making, and refine pricing strategies to drive revenue growth. Business Insights and Analysis - Conduct exploratory analyses to uncover opportunities, trends, and risks, providing actionable recommendations to leadership. Data Visualization and Reporting - Build and maintain dashboards in Tableau, leveraging multiple data sets and … data science, or related roles Proven track record of managing technical teams and delivering impactful data-driven solutions with a commercial and customer focus. Expertise in developing predictive modelling, statistical analysis, and machine learning. A basic understanding of programming languages such as Python, R, or SQL. Hands-on experience with data visualization tools like Tableau. Strong analytical and More ❯

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

for collecting, organizing, and analyzing financial data to provide insights and support decision-making within the organization. The ideal candidate should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of More ❯

tracking on Quicksight or Excel, diving deep into data to fix business issues and uncover growth opportunities, estimating business impact for the new program using proxy data, and running statistical models. The ideal candidate will possess strong business acumen and enjoy influencing business decisions while improving operational efficiency to drive higher productivity. Core Competencies: - Manage request intake independently and … deliver in the most efficient and effective way. - Interact and communicate effectively with stakeholders, including senior leadership from multiple project areas. - Translate complex or ambiguous business problems into clear analysis requirements. - Proactively identify high-impact business problems and help partners create actionable priorities. - Derive business insights from analysis and provide recommendations. - Extract data from large-scale Redshift databases … teams in US/India. - Balance technical trade-offs between long-term scalability and short-term deliverables. - Review and interpret business documents to understand priorities. - Write clear documentation outlining analysis details, insights, and recommendations. Key job responsibilities This position collaborates closely with business partners (Product/Program/Sales Managers) and technical partners (BIEs, Data Engineers, Data Scientists) across 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 ❯

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 ❯

innovating on behalf of our customers is at the heart of everything we do. As BIE you will work closely with our business and finance teams building analytical and statistical/machine learning solutions that drive performance improvements for the business. Key focus areas will be customer insights and engagement as well as overall process optimization. You will act … as a consultant to the business surfacing deep insights, providing easy to use tools for analysis and reporting as well as generating actionable learnings for the team. Data-driven decision-making is at the core of Amazon's culture and this role will have a direct impact on the decisions and strategy of the Prime Video Channels across multiple … the business - Set up and maintain self-service infrastructure (e.g. dashboards) for the team - Generate and present concrete and actionable insights and recommendations for leadership based on sound methodological analysis - Proactively create new metrics that represent key inputs/outputs of the business - Support automation processes across the team - Lead large scale projects data and analytical projects that help More ❯

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

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

Job summary To support the Information Manager within the Contracting & Costing Department in the provision of an information and analysis service delivering accurate, timely and effectively communicated information to external and internal stakeholders. They will be a key player in ensuring that the organisation has robust activity/performance data and effective reporting to allow it to function as … to avoid disappointment. Person Specification Qualifications Essential Degree or equivalent relevant experience Practical experience of designing and developing applications and systems Knowledge and Experience Essential Specialist knowledge of information analysis and the use of information through degree or equivalent, plus additional specialist knowledge acquired through training and relevant experience Understanding of statutory and mandatory requirements, with clear knowledge of … best practice Understanding of NHS contracting, commissioning and regulatory requirements/processes Database design and management, statistical analysis, data modelling and interrogation Extensive skillset in business intelligence software including Microsoft Power BI Experience of providing business intelligence, reports and dashboards Excellent communications skills, written and verbal Ability to understand and interpret customer requirements and deliver the correct level 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 ❯

SQL, Excel, and other data management systems and develop reporting and data visualization solutions -using tools like AWS QuickSight and Looker. - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Model data and metadata to support the reporting pipelines and automate the manual reporting solutions. - Understand trends related to business … metrics and recommend strategies to stakeholders to help drive business growth. Reporting of key insight trends, using statistical rigor (Hypothesis testing, measuring experiment success defining statistical significance, developing basic regression and forecasting models) to simplify and inform the larger team of noteworthy story lines. A day in the life - Analyze data and find insights to either drive strategic … 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 More ❯