51 to 75 of 233 Statistical Analysis Jobs

from complex data sets to inform strategic decision-making and drive business performance, with a particular focus on credit and pricing. The role combines statistical analysis, machine learning and data engineering techniques to solve business problems, improve processes, and support a data-driven culture across the organisation. Using … achieve good outcomes for our customers. Responsibilities Collect, clean, and validate large, structured and unstructured data sets from multiple sources Develop and deploy statistical models, machine learning algorithms, and predictive analytics solutions Translate business challenges into analytical problems and actionable insights Design and implement data pipelines and workflows ...

closely with quality assurance teams as necessary. Troubleshoot and resolve issues within the reporting database environment. Produce detailed reports from various data sources for analysis and informed decision-making. Initiate and terminate data sets based on project needs. Review changes and updates to source production systems to maintain data … data cleansing methodologies. Requirements Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. 1-2 years of experience in data analysis or a similar role. Proficiency in SQL for data extraction and manipulation. Familiarity with data visualization tools such as Tableau or Power BI. Basic ...

evaluation projects from hypothesis through to recommendation. Assessing the commercial value, quality, and scalability of new datasets. Developing robust methodologies for data validation, statistical analysis, and research quality standards. Working closely with data acquisition and commercial teams to assess potential data investments. Applying techniques such as time series … analysis, correlation analysis, hypothesis testing, and feature engineering. Identifying new opportunities to create valuable data products and customer insights. Managing and developing members of the Data Research team while raising technical standards across the function. Driving the use of AI and advanced analytical techniques to improve research efficiency ...

customer, campaign, transaction, payment, loyalty, and margin datasets Proven experience developing and operationalising production data science and machine learning solutions Experience with experimentation, causal analysis, uplift modelling, reconciliation, and analytical audit trails Experience building scheduled analytical pipelines and supporting controlled production changes Required Skills: Advanced Python for production data … science, machine learning, statistical analysis, matching, weighting, cohort analysis, feature processing, model training, and inference Advanced SQL for campaign, customer, transaction, and measurement data analysis Strong Databricks experience including notebooks, modules, jobs, workflows, Delta tables, Unity Catalog data, model registry, and production scoring Hands‐on Spark ...

Commercial Data Analyst Reports To: Senior Commercial Data Analyst Contract Type: Permanent Location: Richmond UK, Hybrid About the role: Drive proactive, insight-led analysis for Commercial, Account Management and Finance — delivering the 'so what?' and 'now what?' across dealer retention, revenue performance, portfolio health and new business pipeline. Help … development of a Dealer Customer Lifetime Value (CLTV) model alongside the Data Science team, informing retention investment and commercial targeting. Assist with pricing recommendation analysis in partnership with Finance, assessing the impact of price changes on revenue and retention. Partner on B2B dealer segmentation by dealer type, region ...

skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes. Skills AI Platforms Change Management Data Analysis Feature Prioritization Machine Learning Model Management ML Platforms Model Evaluation Performance Analysis Product Delivery Product Design Product Lifecycle Management (PLM) Product Roadmapping Roadmap … Development Statistical Analysis User Needs Analysis Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health ...

skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes. Skills AI Platforms Change Management Data Analysis Feature Prioritization Machine Learning Model Management ML Platforms Model Evaluation Performance Analysis Product Delivery Product Design Product Lifecycle Management (PLM) Product Roadmapping Roadmap … Development Statistical Analysis User Needs Analysis Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health ...

drivers of growth. Partner with Commercial, Category, Sales, Marketing and Business Insights teams to support planning, performance reviews and strategic growth initiatives. Deliver robust analysis and evidence-based recommendations to support ad hoc business questions, projects and investment decisions. Champion best practice in data visualisation, reporting design and insight … Circana (IRI) or similar intelligence platforms. Knowledge of analytical and visualisation tools including Snowflake, SQL, Python, R, SAP Analytics Cloud (SAC), Tableau. Understanding of statistical analysis, forecasting and modelling techniques, including regression and time-series analysis. FMCG experience, with exposure to commercial, category, revenue growth management ...

Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous. Skills AI Platforms Change Management Data Analysis Feature Prioritization Machine Learning Model Management ML Platforms Model Evaluation Performance Analysis Product Delivery Product Design Product Lifecycle Management (PLM) Product Roadmapping Roadmap … Development Statistical Analysis User Needs Analysis Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Closing Date: 13th November 2026 Locations 1) HQ Central London or 2) Stevenage - This role ...

Science, Software Engineering, or equivalent practical experience. Master’s degree in Computer Science or related field is advantageous. Skills AI Platforms Change Management Data Analysis Feature Prioritization Machine Learning Model Management ML Platforms Model Evaluation Performance Analysis Product Delivery Product Design Product Lifecycle Management (PLM) Product Roadmapping Roadmap … Development Statistical Analysis User Needs Analysis Working Pattern This is a UK based hybrid role, with a min of 2/3 days a week onsite. Fully remote working is not available. Closing Date: 13th November 2026 Locations 1) HQ Central London or 2) Stevenage - This role ...

PowerBI, Tableau, Qlik Programming languages: SQL, Python, R Experience in any aspects of the data analytics lifecycle, for example: Data Manipulation and ETL Data Analysis & Visualization Applying machine learning statistical analysis and other advanced analytics techniques to key business issues faced by our clients that can transform ...

models and delivering value to ourMembersthrough innovative sourcing and data-driven solutions. The Data Scientist will be instrumental in advancingClarusONE’sanalytics capabilities by applying statistical modelling, machine learning, and predictive analytics to complex business problems. This role will drive the development of scalable data science solutions that inform strategic … embed advanced analytics into technology platforms and decision-making processes, supporting the long-term vision and goals of the business. Responsibilities Develop and deploy statistical models, machine learning algorithms, and forecasting tools to support strategic sourcing, supplier risk assessment, and market dynamics. Lead exploratory data analysis and hypothesis ...

using SQL and Python to explore large, complex datasets. Day to day, you could be combining data from different sources, applying exploratory and statistical analysis, developing and evaluating analytical models, or measuring the impact of trials and operational changes. You will turn your findings into practical recommendations, communicate … them clearly through data visualisation and storytelling, and make sure your analysis is reliable by checking data quality, testing assumptions and explaining limitations or uncertainty. More about you You use analytical thinking and technical capability to solve real business problems. You can break a question into a logical analytical ...

passion for solving complex problems, and a deep understanding of financial and client behavioural data. You will be responsible for delivering high-impact data analysis, automating reporting processes, and implementing scalable solutions that support strategic decision-making across financial advisory services that support their UK and European businesses. This … hybrid basis from the client's London office. Key Responsibilities Executive level story telling & reporting to influence strategic decisions. Perform advanced data analysis to uncover insights across financial, sales, and client behavioral datasets. Design and implement scalable data solutions and automated reporting workflows. Develop models and dashboards that track ...

important as your technical skills. You'll help ensure key risk indicators (KRIs) are meaningful, data is reliable, thresholds are appropriately informed by analysis, and reporting supports better risk oversight and decision‐making. You’ll also help modernise how risk reporting is produced, using AI models and workflow automation … business partnering skills, with the ability to work closely with risk owners and non‐technical stakeholders, understand their needs and translate them into meaningful analysis, reporting and monitoring solutions. Working knowledge of SQL and Python for data analysis and practical automation. You don't need ...

root causes Work alongside engineers to understand the context behind the data and translate findings into practical insights Explore opportunities to automate data collection, analysis and reporting Present findings and recommendations to technical and non-technical stakeholders Contribute to a defined internship project and present your outcomes … clearly A curious mindset and willingness to learn about the engineering and technology behind our products Skills That Would Be Beneficial Python for data analysis SQL and working with databases Power BI or similar data visualisation tools Microsoft Excel and data manipulation Statistical analysis and identifying trends ...

product and operational decisions**Role Responsibilities*** Gathering and documenting reporting and analytical requirements, agreeing with business questions, measures and acceptance criteria* Conducting in-depth analysis across multiple data sources, identifying trends, root causes, performance drivers, risks and opportunities* Analyzing commercial performance, including revenue, profitability, customer behavior and product adoption … Developing forecasts, scenario models and sensitivity analysis to support commercial planning, prioritization and investment decisions* Using Databricks, SQL and Python notebooks to build reproducible analyses and automate reporting workflows* Producing and maintaining stakeholder-facing dashboards, clearly communicating performance, trends and priorities* Presenting findings and recommendations to senior stakeholders, explaining ...

product and operational decisions Role Responsibilities Gathering and documenting reporting and analytical requirements, agreeing with business questions, measures and acceptance criteria Conducting in-depth analysis across multiple data sources, identifying trends, root causes, performance drivers, risks and opportunities Analyzing commercial performance, including revenue, profitability, customer behavior and product adoption … Developing forecasts, scenario models and sensitivity analysis to support commercial planning, prioritization and investment decisions Using Databricks, SQL and Python notebooks to build reproducible analyses and automate reporting workflows Producing and maintaining stakeholder-facing dashboards, clearly communicating performance, trends and priorities Presenting findings and recommendations to senior stakeholders, explaining ...

with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work ...

with large datasets and data processing technologies (e.g., Hadoop, Spark, SQL) Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysis Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work ...

efficient, optimised and scalable reports and visualisations. Ability to design dashboards that clearly communicate complex data and insights to a range of stakeholders. Data Analysis & Synthesis Strong experience integrating multiple data sources into a conformed data model for analysis. Proficiency in SQL, Python, Power Query and M . Experience … data cleansing, transformation and preparation for reporting and analysis. Proven experience applying a broad range of statistical techniques to support data-driven decision-making. Strong understanding of averages, standard deviation, correlation, regression and statistical significance testing . Ability to interpret statistical results and communicate findings clearly ...

efficient, optimised and scalable reports and visualisations. Ability to design dashboards that clearly communicate complex data and insights to a range of stakeholders. Data Analysis & Synthesis Strong experience integrating multiple data sources into a conformed data model for analysis. Proficiency in SQL, Python, Power Query and M . Experience … data cleansing, transformation and preparation for reporting and analysis. Proven experience applying a broad range of statistical techniques to support data-driven decision-making. Strong understanding of averages, standard deviation, correlation, regression and statistical significance testing . Ability to interpret statistical results and communicate findings clearly ...

mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods,and models. What’s more, we are in collaboration with leading academics, industry experts,and highly skilled engineers to equip our customers … data technologies, often working closely with business leaders and their supporting functions. You’ll developd new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets from disparate data sources. You’ll also seek to understand our stakeholder’s most urgent questions ...

datasets and translating business challenges into analytical solutions. Excellent communication skills with the ability to explain technical concepts to non-technical audiences. Experience applying statistical techniques, exploratory data analysis and predictive modelling. A proactive, solution-focused mindset with a strong sense of ownership and accountability. Experience with … stakeholders to understand requirements and deliver data-driven solutions. Developing and enhancing dashboards, reports and data models using SQL Server and Power BI. Performing statistical analysis and identifying trends, opportunities and actionable insights. Supporting the ongoing development of our data strategy and reporting framework. Contributing to system upgrades ...

applications leveraging LLMs, retrieval systems and agentic workflows. Evaluate emerging AI technologies and recommend practical applications across the organisation. Data Science & Analytics Perform advanced statistical analysis and modelling across large‐scale operational and engineering datasets. Develop feature engineering, experimentation and model evaluation frameworks. Create insights and recommendations that … making. WHAT YOU'LL BRING Essential Experience Demonstrable experience delivering machine learning or AI solutions within a large‐scale enterprise environment. Strong experience applying statistical modelling, predictive analytics and experimentation techniques. Experience working with structured and unstructured data at scale. Proven ability to translate business problems into measurable analytical ...