1 to 25 of 100 Statistical Analysis Jobs in England

analytical models and strategies. You will collaborate with cross-functional teams to identify business opportunities, design experiments, and develop predictive models. Your expertise in statistical analysis, machine learning, and data visualization within the Data Science ecosystem will be instrumental in extracting meaningful insights from diverse datasets. This role … them into reusable architecture artefacts for the enterprise. Develop and deploy advanced machine learning models using Azure Machine Learning and open-source stack. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide and nurture talent within data science team, fostering their growth … needs of the business. To liaise with business SMEs to achieve a common understanding of the business challenge, their needs, data requirements and expected Statistical modelling of data. Document methodologies, experiments, and results to ensure the reproducibility of analyses. About you Bachelor's or Master's degree in Data more »

data-driven insights that inform business strategy and decision making. The Insight Analyst will work cross-functionally to understand key business challenges and leverage statistical modeling, data analysis, and visualization best practices to provide solutions. Responsibilities:  Partner with stakeholders across the business to identify and frame key questions … that lend themselves to data-driven insights  Build, validate, and analyze statistical models using large, complex datasets to test hypotheses and reveal business insights  Design experiments leveraging A/B testing frameworks to quantify current initiatives and guide strategy  Analyze multivariate datasets using statistical programming languages like SQL … Python, and R  Communicate complex quantitative analysis in a clear, precise, and actionable manner to senior executives and key decision makers  Continually seek out ways to improve analytical methods and recommend enhancements supported by data Requirements:  3+ years professional experience conducting quantitative and statistical analysis  Expert skills 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 »

complex ad-hoc reporting requirements in a timely fashion. Support the delivery of predictive analytics Participate in requirement gathering workshops. Support the delivery of statistical information, interpretation of data and the presentation of Management Information to meet the needs of internal customers. Collection, and management large datasets using various … tools: Excel, Excel VBA, Power BI, SQL. Analysis of data to ensure it is fit for purpose and feedback to customers on any issues or changes required. Identify opportunities for continuous improvement in the development, delivery and maintenance of Buying and Merchandising MI reporting. Liaise with a wide range … high levels of accuracy Aptitude to learn new skills/software Able to commute to Bradford city centre Desirable Relevant qualification demonstrating maths/statistical analysis/computer science Experience using statistical analytical tools such as R or Python Experience working in retail Relevant qualification demonstrating maths more »

business stakeholders, and shaping them into viable candidates aligned with strategic objectives. Develop and deploy advanced machine learning models using cloud-based platforms. Apply statistical analysis and hypothesis testing to validate model performance and ensure robustness. Coach, guide, and nurture talent within the data science team, fostering growth … models. Experience with cloud services like Azure ML studio, Azure functions, Azure Pipelines, Mlflow, Azure Synapse Analytics, etc., is a plus. Solid understanding of statistical analysis, hypothesis testing, and experimental design. Expertise in machine learning algorithms and frameworks. Strong problem-solving skills and the ability to translate business more »

time... conveying complex analytical information to clients - people are often excited about the client-facing nature of the position performing various types of data analysis - predictive systems modelling, failure analysis, statistical analysis etc. What experience do I need? Engineering graduates/Mechanical Engineering graduates/Automotive … Engineering graduates - essentially any Mech/Eng graduate degree Degrees inclusive of modules pertaining to Data Analysis/Stats etc. What's in it for you? you would be enrolled in a training scheme which prepares you for a fulfilling career within the space multi-faceted role - one day more »

+ Bonus Company Overview: Our client is a leading financial services firm specialising in algorithmic trading strategies. They leverage cutting-edge technology and quantitative analysis to drive innovation and deliver superior returns to their clients. As they continue to expand our trading operations, they are seeking a talented Quantitative … trends, and opportunities for alpha generation. Develop and implement algorithmic trading strategies across equities, futures, options, and other asset classes. Conduct backtesting and simulation analysis to evaluate the performance of trading models and optimize parameters. Collaborate with traders and developers to design and implement trading algorithms, including execution logic … needed to adapt to changing market conditions. Stay abreast of industry developments and emerging trends in algorithmic trading, quantitative finance, and machine learning. Perform statistical analysis and quantitative research to enhance trading strategies and improve risk-adjusted returns. Work closely with other members of the quant team to more »

protocol, SAP, study report development, and disclosure. Communicate effectively about the utility of RWE across the product lifecycle and drive use of study/analysis results to support internal and external decisions. Contribute to the communication of observational research results, including development of pertinent sections of regulatory documents, publications … RWE, including in support of early-stage clinical development, regulatory approvals, and/or safety commitments. Experience designing and conducting observational research, including protocol, statistical analysis plan, and study report development. Experience with secondary data analysis, including electronic medical record and/or medical claims databases, and … with statistical analysis tools, such as SAS and R. A track record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred. Knowledge of the Oncology therapeutic area. Experience leading studies and projects in a matrix setting. Demonstrated ability to function with autonomy more »

setting? Do you have excellent interpersonal skills and enjoy helping customers? Formed over 30 years ago specifically to address Modelling, Simulation, Operational Research and Statistical Analysis for the Airline and Airport industry, and having gone from strength to strength ever since, our client has a brand new opening … roles) Proficient in MS Excel (sumifs, vlookups etc.) including, ideally, VBA - individuals with PowerBi would be of particular interest. Comfortable with data manipulation and statistical analysis As this role is to work within the exciting Saudi Team, which covers 26 Saudi Arabian Airports Operations there will be more »

Assist in the development and execution of Marketing Mix Modelling (MMM) projects to evaluate the effectiveness of marketing strategies across various channels. • Conduct data analysis, statistical modelling, and interpretation of results to provide actionable insights and recommendations to clients. • Collaborate with cross-functional teams to gather data, refine … following skills: • Bachelor's or Master's degree in Economics, Statistics, Mathematics, or a related field. • Strong analytical and quantitative skills, with proficiency in statistical analysis and econometric modelling. • Excellent communication skills, with the ability to effectively convey complex concepts and insights to both technical and non-technical … in a team environment, with a proactive and results-driven approach. • Proficiency in Microsoft Excel and PowerPoint; experience with R/Python for data analysis and visualisation is a plus. • Prior experience or coursework in marketing analytics, econometric modelling, or related fields is preferred but not required for recent more »

strive to create a nurturing and inclusive learning environment for our students. About the Role: The Data Insights Analyst role is crucial in the analysis, and interpretation of data that can inform decision-making and improve various aspects of operations at the Elizabeth School of London (ESL). Reporting … to the Data Integrity Manager, the Data Insights Analyst will be responsible for ensuring that they provide accurate and timely analysis that aligns with ESL’s and external regulatory requirements such as the Office for Students. The Data Insights Analyst is expected to conduct meaningful comparisons and trend analyses … experience and positive outcomes. The Data Insights Analyst will collaborate with various stakeholders across the institution. Main Duties and Responsibilities: Develop and document data analysis requirements through meetings with departments. Analyse large complex data sets from multiple sources. Perform quantitative and qualitative analysis using statistical methods. Create more »

Proven experience liaising with key stakeholders and handling accounts in a media setting. Excellent experience and ability building models in Marketing Effectiveness ( MMM , Econometric Analysis , Statistical Analysis ). Ability to lead and mentor the analytics team, as well as knowledge of media data systems and disaggregate data more »

the collection, integration and maintenance of large complex data sets from multiple sources. Lead on Data Protection across the organisation. Perform quantitative and qualitative analysis using statistical methods. Ensure and maintain the accuracy of data held and its compliance with the requirements and definitions of key external stakeholders. … collecting, mining and analysing large, complex data sets. Experience with visualisation and reporting tools such as Tableau, Power BI and Looker. Working knowledge of statistical analysis and modelling techniques. Strong written and verbal communication skills. Keen attention to detail with analytical mindset. Problem-solving mindset with the desire more »

Clinical Statistical Programmer; Global Pharma, Oncology - Remote - Permanent Proclinical is seeking a dedicated Clinical Statistical Programmer with a focus on Oncology. This is a remote permanent position. Primary Responsibilities: In this role, you will apply your biostatistics skills and experience to support the development of scientifically based arguments … part of our Global Biostatistics department, collaborating with multiple functional areas across the company. Skills & Requirements: Advanced degree (MSc or PhD). Proficiency in statistical programming, particularly SAS. Detailed knowledge of CDISC standards (SDTM, ADAM). Excellent communication skills, both written and verbal, with the ability to communicate complex … statistical concepts to non-statistical audiences. Ability to work effectively in a team environment and to manage multiple projects simultaneously. Attention to detail and the ability to prioritize tasks and meet tight timelines. The Clinical Statistical Programmer will: Support analysis and reporting on clinical projects. Collaborate more »

Any commercial experience through a placement year or post university in a data/analytical driven post will be highly advantages. Responsibilities: Utilise data analysis and data mining techniques to help the business understand customer intelligence, credit risk and price propositioning Specifying, implementing and maintaining databases in support of … the statistical model development and monitoring. Performing detailed and well documented analysis to support the development of the models. Apply Mathematical Modelling and Statistical analysis to segment customer groups accordingly Contribute to highly analytical scenario modelling to drive gross margin performance Support the business analytically on … monthly performance reporting Communicate complex MI to a non-statistical audience, present conclusions from analysis to enhance decision making with stakeholders Requirements: STEM based degree qualification (2;1 or above from a leading University) Further MSc in related discipline advantageous (desirable) Exceptional attention to detail with analytical mind 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 »

needs and provide solutions to support their use cases. Develop and maintain predictive models to support forecasting and decision-making. Conduct ad-hoc data analysis to support specific business initiatives and projects. Stay up-to-date with new technologies and trends in the data analytics field and recommend improvements … to Client data analysis processes. Communicate findings and insights to stakeholders in a clear and concise manner, using both written and verbal communication. Essential Strong knowledge of SQL and experience with data analysis tools such as Excel, Tableau, and Power BI. Experience with data processing technologies such as … Apache Spark and Apache Flink. Knowledge of statistical analysis techniques and experience with programming languages such as Python, R, and SAS. Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work in a fast-paced, dynamic environment and manage multiple projects simultaneously. Passion for more »

potential of our data. You will have the opportunity to work with various types of data, including structured and unstructured data, and utilise advanced statistical techniques and machine learning algorithms. Your role will involve developing predictive models, conducting data mining and analysis, and creating data visualisations to effectively … our strategies but inspire action and innovation across our organization.Applying data visualisation techniques to effectively communicate insights and findings. Innovative Problem-Solving: Employ advanced statistical analysis, machine learning, and predictive modelling to tackle complex challenges. You’re not just solving problems; you’re anticipating them and creating solutions … of database concepts and data manipulation. Excellent communication and presentation skills. Nice To Haves Publication or contribution to research in the field of algorithmic analysis, machine learning, or predictive analytics. A solid grasp of the latest trends in digital media consumption and a passion for exploring emerging platforms and more »

mission is to transform data into actionable insights that drive strategic decisions and innovation across various industries. **Role and Responsibilities:** - Develop and implement advanced statistical models and machine learning algorithms. - Analyse large datasets to identify trends, patterns, and correlations. - Collaborate with cross-functional teams to understand business objectives and … or mathematical discipline (e.g., Computer Science, Mathematics, Physics, Statistics, Engineering). - Proficiency in programming languages such as Python, R, or Java. - Strong background in statistical analysis and machine learning techniques. - Experience with data visualisation tools (e.g., Tableau, Power BI) is a plus. - Excellent problem-solving skills and ability more »

skills: Independently driving initiatives, collaborating with the team, and influencing stakeholders to strengthen automated transaction monitoring controls. Accessing complex and distributed datasets and performing statistical analysis, simulation of existing controls and assessing the impact of specific changes. Working with the team and stakeholders to understand business requirement and … based on data insights. Providing suggestions for the re-design of existing TM controls. Managing the optimisation of existing TM controls through quantitative data analysis (including Above and Below the Line testing). Analysing, assessing, and documenting the effectiveness of existing automated transaction monitoring controls. Representing the organisation with … You have a business mindset, and you are eager to understand both the business and technical sides. You are passionate about data and quantitative analysis, and you can perform all kinds of numerical and statistical analysis. You are a team player with a positive attitude and want to 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 »

integrity once released to production. The candidate will work both collaboratively and alone to understand available data sources & models, define and construct datasets for analysis applying ETL/ELT principles, and build reporting/insights to communicate status and observations to consumers. As a team we work end-to … C#) programming capability in .Net environment Powershell SQL Server administration Familiarity with Visual Studio IDE Understanding of Data Science, Machine Learning and/or Statistical concepts Experience with statistical analysis in R or Python Experience with Azure Data Explorer Development of ETL & ELT pipelines Familiarity with NoSql more »

for the end customer. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for … analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements across the business Lead on forecasting and campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix Manage a team of analysts, growing and nurturing the team through coaching and … training Conduct deep-dives and incremental analysis into performance to generate actionable insights Deliver high quality analysis and insights, answering complex and diverse questions from across the business Work with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject more »

for the end customer. Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered. Responsibilities: Be responsible for … analysis related to understanding customers, CRM & Loyalty, marketing performance, and broader retail Insight requirements across the business Lead on forecasting and campaign performance across Marketing channels; true incrementality, ROI and contribution to owned exclusive brand mix Manage a team of analysts, growing and nurturing the team through coaching and … training Conduct deep-dives and incremental analysis into performance to generate actionable insights Deliver high quality analysis and insights, answering complex and diverse questions from across the business Work with the broader tech team to deliver data roadmap Experience: Educated to a degree level in a numerate subject more »

the rise of living costs, understanding consumer needs and experiences is paramount. We're seeking an experienced Senior Researcher, specialised in quantitative research and analysis, to join our Customer Insight & Behavioural Science team. This role is key to producing the high-quality research necessary for informed decision-making at … innovation and enhancing our connection to the communities we serve. As a senior researcher, your purpose will be to deliver high-quality research and analysis by leading or overseeing quantitative consumer research projects targeting both households and businesses. You'll also maximise the value and impact of data collected … by Ofgem and external organisations through analysis to address key policy and strategic questions. The ideal candidate will have a strong track record in leading the design and delivery of quantitative social research projects.. You will be skilled at forging solid connections with team members and external partners to more »