1 to 25 of 39 Statistical Analysis Jobs in England with Remote Work Options

Job summary EMAS is looking for a proactive analytical individual to support the Non-Emergency Patient Transport Service in undertaking analysis and performance reporting to support service improvement. Key skills include SQL, Power BI, Statistical Analysis and being able to present information in an easy to understand … with opportunities to work across the range of service areas the team support. The post holder must be an expert in the collection, manipulation, analysis, interpretation, and presentation of information, contributing to the provision of timely and quality management of information to support cost-effective and responsive NEPTS services … to identify trends, exceptions, problems, good practice, and areas of concern for all levels of management, providing recommendations where appropriate; To deliver data and statistical analysis to meet operational management and performance management needs of the NEPTS, as for other services provided by the Trust as required. Ensure more »

What we're looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high value projects.o Expertise in using R … Data Science & Advanced Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. … Provides specialist advice and guidance across the NHSBSA on data science and advanced analytical techniques including the development of machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as the application of generative AI. This will include individuals and groups of customers at all levels more »

the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee the collection, interpretation, and analysis of service performance metrics, such as response times, resolution rates, and customer satisfaction scores, to optimise service delivery and enhance customer experience. Develop and … and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques, such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations … of experience in a leadership role within a data-driven organisation, with expertise in service performance analytics and sales KPI monitoring. proficiency in data analysis tools and techniques, including SQL, Python, R, and statistical analysis software. experience in developing and implementing data strategies that drive business outcomes more »

Job summary An opportunity has arisen for an information analyst to join our Performance Analysis team at Harrogate & District NHS Foundation Trust. The post holder will form part of a small team of information professionals and deliver an information service that supports the requirements of the Trust including routine … to NHS England and contract reports to commissioners) and managing an adhoc information service.The successful candidate will be highly numerate, have experience in the analysis, interpretation and presentation of complex data and be able to engage with clinicians and managers to design and develop information reports to support improvements … intelligence tools, including Microsoft Power BI, would be an advantage. An understanding of NHS data and experience of extracting data from patient systems for analysis and reporting would also be beneficial. Main duties of the job Support the design, production and implementation of comprehensive data and information reporting systems more »

solution delivery. The successful candidate(s) will be expected to: Lead commissions in area of efficiency & value identification, assurance & continuous improvement, construction economics research & analysis, and general data advisory services. Have experience in one or more of the following technical disciplines: Cost Model and/or Cost Estimate development … Statistical Analysis to support benchmarking and efficiency exercises Business Cases development and Cost Benefit Analysis Evaluation of strategic options to support investment decisions Design business models. Identify cost reduction opportunities through benchmarking and efficiency exercises Possess analysis capabilities which can be applied to client and industry … delivery Demonstrable experience and/or relevant qualification in one or more of the following: cost modelling, cost estimation, business case development, cost-benefit analysis or statistical analyses. Knowledge and interest in the infrastructure sector and its ongoing developments Strong capability in the Microsoft Suite of products Effective more »

data modelling. A strong problem solving mindset. Experience working with Radar. Previous experience in the Insurance industry. Motor Pricing Knowledge. Responsibilities: Production of business analysis reports. Maintenance of analysis programs written in SAS, RADAR, and other software packages. Write new analysis code using SAS, RADAR, and other … EMBLEM, and other software packages. Monitor, maintain, update and improve existing predictive models. Produce timely and accurate information for management decision-making purposes. Apply statistical techniques including generalised linear modelling and non-linear methods to improve the performance of the company. Qualifications: Minimum 2:1 in a numerical undergraduate … discipline Strong background in statistical methods Experience of personal lines insurance analysis is an advantage Experience of SAS, Emblem, Excel and advanced statistical techniques Strong mathematical skills Strong problem-solving skills, with the ability to adopt a logical approach to solving problems Excellent data and statistical more »

forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role purpose/summary Data Analysis: Apply statistical analysis and data mining techniques to extract insights from large datasets, supporting decision-making and strategic planning. Service Management: Utilise … Data Modelling: Develop and implement data models to support the organisation's data infrastructure, ensuring that data is structured in a way that facilitates analysis and reporting. Predictive Modelling: Build predictive models to forecast future service performance and identify potential issues before they impact service delivery. Data Visualisation: Create … communicate complex data insights in a clear and concise manner to stakeholders at all levels. Machine Learning: Apply machine learning techniques to automate data analysis and prediction processes, improving efficiency and accuracy. ServiceNow Expertise: Leverage expertise in ServiceNow to surface, link, and map data, providing comprehensive insights into service more »

analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers and business experts to scope and design the … Science tools and processes Experience with Azure, Amazon or Google cloud architecture Knowledge of the data landscape in the UK and Ireland Data processing, analysis and visualization skills Strong problem-solving skills in relation to data science projects Proficiency in Python, R, C#, JavaScript or another programming language Proficiency more »

for: Designing, creating, and managing efficient data pipelines for handling large data volumes effectively, whilst deploying real-time processing for prompt analyses. Applying advanced statistical techniques and predictive modeling to recognise patterns and anomalies in extensive datasets, facilitating informed decision-making. Collaborating closely with engineering and product teams to … with large-scale, high-velocity data sets involving billions of records per day. You must be proficient in programming languages and tools for data analysis, such as Python, R, and SQL You must be proficient in big data technologies, such as Spark, Kafka and/or Hadoop. A strong … understanding of statistical analysis, predictive modelling, machine learning algorithms, and data development and optimisation is essential You could have experience with cloud-based big data architectures and services (AWS, GCP, Azure), a background in data visualisation and tools (Tableau/Power BI) and/or have relevant contributions more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

Job summary The Principal Data Scientists demand exceptional expertise and practical experience in machine learning, statistical analysis, and fraud detection. They must possess excellent communication and collaboration skills and be experts in detecting fraud using statistical methods and disseminating all products, including fraud detection models, into a … control and implementation to guidance, leadership, and direction of the team. oProven practical experience in fraud detection methods using data including the implementation of statistical modelling and methods into a live production environment oPractical experience in designing algorithms, using statistical and problem centric methods to design actionable outcome … across a variety of data types. oExtensive practical experience in data science including the implementation of statistical modelling in a real-world environment oExperience and strong proficiency in programming languages for data science, e.g., SQL, R and Python alongside the ability to use tools and packages such as Alteryx more »

our data strategy, providing direction to our key products, and translating complex findings into compelling narratives. What you'll be working on: Leverage data analysis to inform decision-making and contribute towards improving Builder’s array of bespoke products Provide insights across different business areas, contributing to the continuous … tools (QlikSense, Tableau, Looker, or PowerBI) to develop and maintain dashboards, visualizations, and analytics support. Apply problem-solving skills to address challenges, using data analysis to arrive at effective solutions. Collaborate with cross-functional teams to align research, development, and execution initiatives with product priorities and goals. Requirements Strong … Data Analysis skills Ideally experience leading a team (or close to doing do) Strong proficiency in SQL; experience with BI tools such as QlikSense, Tableau, Looker, or PowerBI. Ideally proficiency with digital analytics tooling such as Amplitude, Mixpanel etc. (Adobe Analytics and Google Analytics experience also beneficial) Proven understanding more »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to more »

ideally Azure) and modern reporting/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

in data engineering. oExperience/understanding of data lifecycle management frameworks and project management methodology. oExperience in technologies relating to Data Science, for example: statistical analysis, machine learning, or natural language processing. oExperience with relational SQL and databases. oExperience with Azure cloud services. oMaster's degree, in relevant more »

As an international service provider for pharmaceutical research, Numerus provides high-quality statistical analysis as our contribution to improving healthcare through medicine. Headquartered in the UK, west of London, and with offices in Germany and Switzerland we are proud to be the analytical service provider of choice for … are actively looking to expand our team in Wokingham with a permanent position on a full or part-time basis. Your role: Applying innovative statistical approaches to solve novel data challenges Leading projects, ensuring efficient project management, compliance, and high-quality deliverables Analysing phase III clinical trial data in … order to support HTA submissions Providing statistical consultancy to internal and external customers Planning, analysing, and visualising observational and real-world data Supporting systematic literature reviews, data extraction, and analysis Critically appraising quality and reliability of data sources to support HTA decision-making Mentoring junior colleagues Contributing to more »

Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage … SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident … presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an agile team This is a Hybrid role and will require at least 1 day week, ideally two in the HQ in Exeter If you are a highly motivated more »

this role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »

to hire multiple Data Scientists to join them in their offices in Guildford. They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role … You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical more »

Statistics Consultancy 4 days office, 1 day WfH Up to £70,000 + bonus Our client is a leader in the field of developing statistical models and analytical frameworks for sports, predominantly football. Their models are utilised by media, sports clubs, bookmakers, traders and syndicates, to make data driven … MatPlotLib etc Experience working with large datasets in SQL and RDBMSs, and ability to identify and fix data quality issues & perform initial exploratory data analysis Interest in sports and betting/prediction/probability problems Experience with statistical analysis and predictive modelling - you don’t need to more »

growth, they seek ambitious professionals to join their dynamic team. ROLE AND RESPONSIBILITIES Utilize programming languages such as Python, SQL, and others to implement statistical methods effectively addressing specific business problems. You will be working extensively on forecasting/propensity modeling. Develop robust models and perform data-driven analyses … working with object-oriented programming languages. Experience in Forecasting and propensity. Expertise in utilizing SQL for data acquisition and transformation. Outstanding quantitative modeling and statistical analysis abilities. SALARY AND BENEFITS Salary range: up to £70,000. Free lunch. Hybrid working model. HOW TO APPLY To be considered for more »

Science Personalisation Forecasting Team! ROLE AND RESPONSIBILITIES Lead a Team of Data Scientist Utilize programming languages such as Python, SQL, and others to implement statistical/Forecasting methods effectively addressing specific business problems. Develop robust Forecasting/Personalisation/Search/Recommendation models and perform data-driven analyses to … with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing SQL for data acquisition and transformation. Outstanding quantitative modeling and statistical analysis abilities. SALARY AND BENEFITS Salary range: up to £73,000. Free lunch. Bonus Hybrid working model. HOW TO APPLY To be considered more »