101 to 125 of 723 Statistical Analysis Jobs in the UK

Principal Data Analyst Contract Type: Permanent Location: Edinburgh or Glasgow or Alderley Park (Wilmslow) Working style: Hybrid 50% home/office based We are growing our Data & AI Strategy Analysis practice, and we are looking for a Principal Data Analyst to join our Data & AI Strategy team to explore strategic opportunities for value from data and AI. As an … You'll enjoy the journey from uncovering and profiling new value pools and developing hypotheses for value. This will mean getting hands on with data in messy (multidimensional) exploratory analysis of complex to identify and prioritise strategic opportunities for value. In the past 2 years we have deployed a shiny, new modern tech stack and invested in a new … up to date with the latest techniques. To be successful, you'll need strong analytical skills to identify key value drivers and model potential scenarios and be familiar with statistical methods to we are robust and credible in our efforts to take an insight-led approach to inform our decision making at a strategic level. Key Responsibilities: Analyse relevant More ❯

provide recommendations and drive change. Provide insights, solutions, and recommendations to address problem statements from the candidate initiatives. What are we looking for? Extensive experience in a senior data analysis position with strong experience in data analysis using tools such as SQL, Excel, Power BI and AWS data insight tooling. Ability to utilize programmatic and quantitative methods to … identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well under pressure and achieve results within the scheduled time-frame. Excellent stakeholder management skills and More ❯

teams. Key job responsibilities: Apply multi-domain/process expertise in day to day activities and own end to end roadmap. Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. Define analytical approach; review and vet analytical approach with stakeholders. Proactively and independently work with stakeholders to construct use cases and … ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes. Have the capability to handle large data sets in analysis through the use of additional tools. Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes. Understand the basics of test and … control comparison; may provide insights through basic statistical measures such as hypothesis testing. Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved. Communicate complex analytical insights and business implications effectively. About the team: AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting 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 ❯

BI space - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - 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) PREFERRED QUALIFICATIONS - Knowledge of data modeling and data pipeline design - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience … with statistical analysis, co-relation analysis - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports - Master's degree, or Advanced technical degree Amazon is an equal opportunities employer. We believe passionately that 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 ❯

analytical ingenuity, leadership, business acumen, effective communication, and the ability to work with cross-functional teams in a fast-paced environment. Responsibilities: Create actionable business insights through analytical and statistical rigor to answer questions, drive decisions, and develop operational improvements. Collaborate with Product Managers, software engineering, data science, and data engineering teams to design and develop analytic capabilities. Define … interpreting data with Redshift, Oracle, NoSQL, etc. Experience with data visualization tools such as Tableau, Quicksight, or similar. Experience with industry analytics visualization tools (e.g., Excel, Tableau, PowerBI) and statistical methods (e.g., t-test, Chi-squared). Proficiency with scripting languages like Python, Java, or R. Master's degree or higher in a technical field. Knowledge of data modeling … and data pipeline design. Experience with statistical analysis and correlation analysis. Our inclusive culture empowers Amazonians to deliver the best results. If you need workplace accommodations during the application or onboarding process, please visit this link . If your country isn’t listed, contact your Recruiting Partner. #J-18808-Ljbffr 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. Minimum Requirements: 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 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 modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using More ❯

Range: £60,000 - £70,000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … and drive them from ideation phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow/PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation 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 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience 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 modeling PREFERRED QUALIFICATIONS Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. More ❯

optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. More ❯

little bit about our team: The Data & Insight team work with the Frontline & Catalogue labels, Commercial & Finance teams on: track/artist performance and strategy, partner/competitor performance analysis, market trends, risks & opportunities. Sometimes as part of a team, sometimes solo but always delivering timely, clear and actionable insight and recommendations. Your role: You are a music lover … science work streams, guide junior team members, and help shape our data strategy. Here you'll get to: • Pro-actively support the business by gathering data and, using advanced statistical techniques, communicate key insights that lead to strategic change. • Anticipate stakeholder needs, developing tools and frameworks to provide data-driven insight and solutions to the business, particularly collaborating with … the creator, paid media, and audience teams. • Apply sophisticated statistical and machine learning techniques to large, complex datasets to uncover patterns, trends, and predictive insights. • Champion the creation of compelling and intuitive data visualisations to effectively communicate complex insights to both technical and non-technical stakeholders, including senior leadership. • Ensure data accuracy, consistency, and governance by collaborating closely with More ❯

analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/… should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Build programs to create a culture … team(s)/partners to meet program and/or product goals. • Coordinates design effort between internal team and External team to develop optimal solutions. • Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes. • Ability to convince and interact with stakeholders at all level More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of tensorflow/pytorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. Experience in design and evaluation More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. • Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. • Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Lead Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

is to help design the data we collect, creating new tests and understanding and using effectively the incoming data from devices APIs, and while also helping other teams with statistical analysis for our Customers and Sales teams. You will also get exposure to many other parts of the business, working closely with our Data Engineers, Android & iOS Engineers … mobile and fixed broadband network clients. Translating business and customer requirements to data science analyses and communicating these effectively with technical and non-technical stakeholders. Evaluating the robustness of analysis and recommendations, to influence the direction of product development within cross-functional teams. Working cross-functionally with Mobile, Data Engineering & Product members to create improvements in the tools and … techniques to help scale our analyses. What We Need From You A passion for data interrogation and analytics, with advanced modelling, coding and analysis skills entailed in the role. Experience working as a Data Scientist, ideally on client-facing analysis or products. Degree (or equivalent) in a quantitative field such as Statistics, Applied Mathematics, Physics, Engineering, Computer Science More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. The Research Analyst will perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. The Research Analyst is also expected to continuously improve the ML/… should be able to write clear and detailed functional specifications based on business requirements. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understanding the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Build programs to create a culture … team(s)/partners to meet program and/or product goals. • Coordinates design effort between internal team and External team to develop optimal solutions. • Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes. • Ability to convince and interact with stakeholders at all level More ❯

London! Salary Range: £60.000 - £70.000 annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing insights and building features that … optimization. • Communicate findings and recommendations to stakeholders in a clear and concise manner. Requirements: • Master's or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. … till bringing out the product to customers, and beyond. What will make you stand out: • Experience working in an analytics role in the gambling industry. • Experience with CRM data analysis and customer segmentation. • Knowledge of tensorflow/pytorch. • Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. • Experience in design and evaluation More ❯

also be looking for the following: Passion for technology, data, and the use of data to advance people, process, and organizations Ability to multitask with sharp problem-solving skills Statistical and analytical mind set with a data-driven, structured approach to driving progress Attention to detail and strong organizational skills Excellent communication skills, able to build relationships and rapport … advanced Python Experienced Data Analytics/Visualization Advanced MS Office Desirable experience or qualifications: Practical application of SRE Proficient Project management AI/Emerging Technologies Production Support experience Advanced Statistical Analysis Advanced Process reengineering Proficient Business Analysis What we'll provide you: By joining Citi, you will not only be part of a business casual workplace with More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as … Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee More ❯

experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as … Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee More ❯