1 to 25 of 282 Statistical Analysis Jobs in the UK

UK power and gas market. Your contributions will be essential to the development of our stack model, balance model, margin-based model, and price analysis tools. Responsibilities: Collaborate with the Trading Team to understand and address their requirements for the analytics platform. Be integrated to the Trading Desk to … platforms and tools that meet business needs. Contribute to the decision making process of the trading strategies. Utilise Python programming language for data processing, analysis, and modelling in the Power and Gas market. Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model selection, and … evaluation. Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports. Develop Position Balance, Market stacks and price forecast models. Evaluate and monitor the accuracy and effectiveness of external price forecast models. Develop analytics related to Power and Gas fundamentals, such as system margin analysis More ❯

manufacturing, Experience with process design based on Lean Principles, Experience in Capital project management, Experience with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making, Experience must involve ownership/management of engineering design projects, Experience using business/ More ❯

into actionable insight. Working in a small but influential Data Insights and Intelligence team , you'll support our services and stakeholders with robust data analysis, insightful reporting, and meaningful interpretation that drives real-world impact for children, young people and families. You'll lead on the capture, management, and … analysis of health data from a wide range of sources, ensuring it is accurate, accessible, and supports evidence-based decision making. Your work will underpin everything from strategic planning to mandatory health reporting including submissions like the National Child Measurement Programme (NCMP) and National Drug Treatment Monitoring System ( NDTMS … data into actionable insight. Working in a small but influential Data Insights and Intelligence team , youll support our services and stakeholders with robust data analysis, insightful reporting, and meaningful interpretation that drives real-world impact for children, young people and families. Youll lead on the capture, management, and analysis More ❯

role and Amazon's data obsessed culture. Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Amazon's new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper … complex historical datasets to uncover trends and present actionable insights through clear communications Support development teams in building analytics infrastructure for large-scale data analysis and machine learning deployment Transform data insights into concrete recommendations for business strategy and product development Develop key performance metrics and create business review … presentations using visualization tools Perform in-depth analysis using advanced SQL and Python programming Design and maintain data infrastructure, including ETL pipelines and cloud-based solutions Develop comprehensive documentation and training resources for self-service analytics tools BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, Mathematics, or related More ❯

data, improving how we manage, process and use that data in support of PLOS's goals. You will be tasked with the large-scale analysis of our broad and varied collection of scholarly content, which includes research articles and associated data sets, and line of business data and information. … This will require working with structured and unstructured data, a large corpus of scholarly articles, using programmatic techniques such as statistical analysis, natural language processing, information retrieval, and machine learning. You will also work with the rest of the team to turn your insights and software prototypes into … production services that improve the utility of this data for both our end users and internal stakeholders. Responsibilities Create and use machine learning models, statistical analysis, natural language processing to improve scientific content workflows, enhance discoverability, and support Open Science initiatives. Collect, clean, and analyze large datasets of More ❯

values excellence and efficiency in all its endeavours. Job Description The key responsibilities of the Data and Insights Manager include: Lead high-quality data analysis and intelligence initiatives to support strategic and regulatory objectives. Produce and oversee intelligence products, such as reports and dashboards, on areas of risk and … oversee comprehensive data and intelligence monitoring strategies, incorporating new data sources to manage regulatory risks. Manage and support line reports in conducting high-quality analysis and presenting findings to stakeholders. Implement tools and techniques for data analysis and visualisation to enhance risk assessment processes. Assist with and lead … change projects in data management and other initiatives. Champion the integration of advanced risk analysis and intelligence across the organisation. Support the development and continuous improvement of the Regulatory Risk Framework. Deputise for the Head of Regulatory Risk and Insights when needed. The Successful Applicant The successful candidate for More ❯

interfaces, leveraging UI/UX design and UAT processes. Enabling data-driven insights: Conduct data modelling best practices through schema design, semantic modelling and statistical analysis, while understanding sector-specific datasets and business processes to deliver actionable insights. Leading scalable delivery: Operate as a product owner, managing agile … to-End Analytics/AI Transformation or Large-scale Deployments/Technology Implementation Programmes Technical and Analytical Skills: Strong analytical skills, including data modelling, statistical analysis, machine learning, and advanced analytics with solid experience delivering best practice data models within an organisation Familiarity with project governance tools and … Tableau, Qlik, Looker etc. Experience in UX design, requirements gathering, data-driven decision-making, risk assessment, KPI framework development, or value tracking and value analysis Experience in ingestion, integration, data engineering, data quality and observability, dataset identification Experience in high-level architecture, solution design or platform licensing Experience in More ❯

in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, statistical analysis, and building high-quality prediction systems integrated with our products. A data scientist is someone who creates value from data. Such a … learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but … and written, and must be comfortable delivering presentations and facilitating workshops Key Accountability Cleaning and preparation of large data sources in different formats for analysis Analysis of data for identifying trends and correlations Development of predictive & generative models Design and development of databases Organisation, interpretation, and visualisation of More ❯

data-driven recommendations to drive topline growth and to improve profitability. Develop an understanding of key business metrics/KPIs and providing clear, compelling analysis that shapes the direction of our business. A day in the life BASIC QUALIFICATIONS 5+ years of SQL experience Experience in programming to extract … communicating results to senior leadership PREFERRED QUALIFICATIONS Experience in scripting for automation (e.g. Python) Experience with theory and practice of design of experiments and statistical analysis of results 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 More ❯

Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. • Works to ensure that outputs meet quality standards and project requirements. • Performs validation programming and works with other … from management, and adapts to timeline or priority changes by reorganizing daily workload. • Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be … to meet the needs of the business. • Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. • Acts as the lead statistical programmer. Directs the programming activities of other programming More ❯

Uses SAS or other software to develop custom programming code to generate summary tables, data listings, graphs and derived datasets as specified in the statistical analysis plan and programming specifications. Works to ensure that outputs meet quality standards and project requirements. Performs validation programming and works with other … from management, and adapts to timeline or priority changes by reorganizing daily workload. Develops specifications for datasets and outputs of any complexity according to statistical and sponsor requirements. Anticipates and addresses potential programming issues, reflects forethought, establishes the basis for efficient programming and accurately defines all variables to be … to meet the needs of the business. Negotiates and establishes accurate time estimates for completion of study programming activities with internal team members and statistical programming management, and completes project programming activities within timeframe allotted. Acts as the lead statistical programmer. Directs the programming activities of other programming More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using … Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A More ❯

successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning … with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the … statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of More ❯

has a wide remit including automatic quoting, optimizing hedging decisions, and developing algorithms to trade derivatives on venues around the world. We also deploy statistical analysis techniques and mathematical models to enhance the decision-making process, with the overall aim of improving business performance while working closely with … Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes using factor models and other techniques. Perform systematic and quantitative analysis of flows and market data, driving business strategy and the design of our quantitative market making platform. Use advanced statistical analysis and More ❯

Digital Pathology Image Analysis - Data Scientist/Bioinformatician At HistologiX we support our clients' cutting-edge research, helping innovative biopharmaceuticals, monoclonal antibodies, biomarkers and immuno-oncology treatments gain regulatory approval. We are a niche GLP and GCP compliant laboratory with our experienced scientific team providing specialist immunohistochemistry (IHC), histology … digital pathology and image analysis solutions, working with pharmaceutical and biotechnology companies worldwide. Due to continued growth, we have an exciting opportunity for you to strengthen our Image Analysis group and support the increasing demand for digital pathology projects. Are you proficient in data manipulation, statistical approaches … and deployment of relevant software e.g. R and RStudio? Do you have a grasp of programming languages such as Python? Are you familiar with statistical analysis and data visualization tools, ideally GraphPad Prism? Do you have knowledge of image analysis philosophies and techniques? Experience with computational pathology More ❯

technologies, and are eager to incorporate them into your work. Detail-Oriented: Your meticulous nature ensures accuracy and thoroughness in all tasks, from data analysis to documentation. BI Tools Proficiency: Expertise in Power BI, Tableau or similar visualisation tools. SQL and Databases: Strong knowledge of SQL, data warehousing concepts … Processes: Experience with Extract, Transform, Load (ETL) processes (e.g. SSIS, AWS Glue, DBT). Data Modelling: Ability to create and manage data models. Data Analysis: Advanced data analysis and modelling skills, including statistical analysis and predictive modelling. Modern Data Platforms: Knowledge of Snowflake, Databricks, or similar More ❯

collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress … and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understand business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives … Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance More ❯

collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress … drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives … Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance More ❯

analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation • Write high quality code to retrieve and analyze data • Analyze and solve business problems at … the management of our transportation network, while also supporting in the scaling of the business. We partner with stakeholders from transportation to retail, leveraging statistical and ML model to upgrade our internal technology. BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - 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) - Experience with SQL - Experience in the data/BI space More ❯

goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and … of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical More ❯

is responsible for interpreting data, analyzing results, and generating actionable insights to guide decision-making within an organization. They work with large datasets, employing statistical tools, visualization software, and database querying to identify trends, solve problems, and support business goals. Main Duties Data Collection and Preparation: Gather data from … primary and secondary sources. Clean and preprocess data to ensure accuracy and completeness. Organize data into usable formats, including databases or spreadsheets. Data Analysis: Analyze datasets to identify patterns, trends, and correlations. Use statistical methods to provide insights and solve business challenges. Perform predictive analysis to forecast … both technical and non-technical audiences. Work closely with cross-functional teams, including marketing, sales, finance, and IT. Understand business requirements to tailor data analysis efforts. Tool and Technology Utilization: Use software such as Excel, SQL, Python, R, Tableau, Power BI, or other analytics tools. Manage and maintain data More ❯

supply chain by influencing right tradeoffs among cost, speed and network capacity utilization. FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate … passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. Key job responsibilities Develop business metrics and analysis to inform product strategy and influence key strategic initiatives. Develop clear communications for recommended actions. Establish self-service automated reporting processes for tracking and … diving deep into the data. Partner with data engineers to establish new data pipelines and document logic for business metrics. Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes. A day in the life As a Business Intelligence Engineer, you will More ❯

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 … 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 More ❯

engagement. Support growth goals by providing data-driven insights to improve customer acquisition and early retention. Conduct experimentation and A/B testing, ensuring statistical robustness and deriving insights to drive product improvements. Apply hypothesis testing methodologies to validate product changes and marketing strategies. Collaborate with cross-functional teams … optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For … Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical More ❯

data sources, analyze trends, and support decision-making through your insights and expertise. This role will involve collaborating with project teams, managing datasets, performing statistical analysis, and presenting findings in a clear and concise manner to both technical and non-technical stakeholders. Key Responsibilities: Collect, clean, and organize … large datasets from various sources related to energy consumption, emissions, environmental factors, and sustainability metrics. Conduct in-depth analysis of energy usage trends, carbon footprints, and environmental data to support clients in their sustainability goals. Apply statistical techniques and models to identify patterns, correlations, and forecasts relevant to … Science, Engineering, or a related field. Proven experience working with large datasets, preferably within the energy, environmental, or sustainability sectors. Strong proficiency in data analysis tools such as Excel, SQL, Python, R, or similar. Experience with data visualization tools like Power BI, Tableau, or similar platforms. Knowledge of energy More ❯