76 to 100 of 112 Permanent Statistical Analysis Jobs in England

with regulatory and industry standards Monitor model performance tests and assess the appropriateness of models in order to demonstrate policy adherence Conduct mathematical/statistical analysis to calibrate and enhance risk models Collaborate with colleagues on key policy and methodology development Documentation of risk polices and models to more »

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal … component analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or via the more »

to resolve data entry issues and ensure query resolution in a timely manner. Creation of data transfer specifications and provision of data extracts for statistical analysis. Tracking and reporting of study status metrics. Ensuring data management documentation is audit/inspection-ready at all times. Provide data validation and … industry experience Experience of Javascript or SQL Experience with power BI is desirable Excellent attention to detail and ability to apply critical thinking in analysis of data. Excellent written and verbal communication. Experience with clinical databases, understanding of database structures, programming languages, data standards (CDASH/CDISC) and application more »

optimization scenarios. Build production systems for implementing, trading, monitoring, and performance reporting of systematic investment strategies. Implementation of strategies into production level code. Apply statistical and predictive modeling techniques to process and analyze large data sets. Research and attribution of portfolio performance and driving factors. Conduct research and statistical more »

other financial institution · Strong programming skills in languages such as Python and experience with Rest API · Strong analytical and quantitative skills, and experience in statistical analysis, data modeling or machine learning desirable · High levels of motivation and continually seeking to improve the performance of self and supportive of more »

services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow and PyTorch. Knowledge of Natural Language Processing and Computer Vision applications. Strong more »

learning, or a related field, preferably in a fintech or fast-paced technology environment. Strong technical background with hands-on experience in machine learning, statistical analysis, and data engineering. Proficiency in programming languages such as Python, R, and SQL, and experience with data science tools and frameworks like 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 »

implementing best practices for data governance and quality control. Previous experience: Proven experience in a similar role, with a strong focus on data management, analysis, and visualisation. Proficiency in Power BI and other data visualisation tools. Strong technical skills, including experience with SQL, ETL processes, and data warehousing solutions. … non-technical stakeholders in a clear and concise manner. Familiarity with data storage solutions such as Mongo Atlas and AWS S3. Key Requirements: Data Analysis and Reporting: Demonstrated ability to perform detailed data analysis and generate comprehensive reports. Business Acumen: Strong understanding of business operations and the ability … to align data insights with business strategies. Technical Proficiency: Proficient in ETL processes, SQL, and statistical analysis. Previous Experience: Proven work experience in projects that involved data analysis, problem-solving, building reports, BI tool implementation, dashboard development, and data integrations. Requirements: Strong communication and collaboration skills. Excellent organisational more »

dataset. These insights are instrumental in enhancing investors' decision-making processes and ultimately driving superior outcomes for their clients. Key Responsibilities: Conduct in-depth statistical research (primarily in R) on data generated by stock pickers throughout their decision-making cycles. Articulate data-backed insights to investment decision-makers in … a clear and concise manner. Collaborate with the development team to prototype decision analysis tools that offer actionable feedback to investment teams. Utilize advanced statistical techniques and modelling to identify and interpret patterns in actions and outcomes. Work closely with behavioural science experts to provide quantitative evidence in … superior returns for clients. Experience: Degree in Quantitative Finance, Mathematics, Statistics, Physics, Computer Science, or a related field. Strong quantitative skills with proficiency in statistical analysis and coding (Python, R). Experience in applying quantitative methods to financial data analysis. Exhibited excellence in academic and/or extra more »

have arisen during review of submitted client data. Serves as the day-to-day technical contact to address issues or discrepancies with data.Perform advanced statistical analysis, including regression modelling and additional statistical tests using SAS and/or R. Develop customized client reports based on outcomes of … statistical analysis. Additionally, creates new slide templates and SAS code to produce displays for client reports.Generate sales by expanding revenues from existing clients and by leading prospecting efforts with new clients.Lead people through the management and development of staff, including assigning, directing and evaluating work. Hires employees, conduct performance more »

will be closely aligned to the fundamental equity L/S portfolio managers, supporting them with portfolio construction/optimisation, factor modelling, tool building, statistical analysis and ad-hoc quant research projects. The fund are looking for those who have a strong quantitative equities background as well as more »

a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping the company's strategic direction by providing data-driven insights and recommendations to refine … insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with the insurance team. Provide data-driven recommendations to senior management for strategic decisions. Collaborate more »

is an AI-powered tool designed to generate initial drafts of Clinical Study Reports (CSRs) that accurately reflect the source material, including the protocol, statistical analysis plan, data tables, and figures. Our tool not only formats tables and figures but also crafts meaningful text around them, highlighting clinically more »

o Accountable for all line quality issues - containment, corrective action, risk assessment and problem resolution. o Continuous monitoring of the manufacturing processes by audits, statistical analysis or any other relevant technique to support continuous improvement. o Provide guidance to the shop floor staff on Quality Assurance and cost more »

developing and optimising analytical methods to evaluate drug substances and products throughout their development stages. The successful candidate will also coordinate analytical development and analysis work at contract manufacturing organisations (CMOs) and contract research organisations (CROs). This position is a 9 month fixed term contract. Responsibilities: Manage the … related to analytics and product development. Ability to interface effectively with management and other groups or project teams. Computer processing literacy and experience in statistical analysis. Excellent verbal and written communication skills along with good organisational skills. Interested or know someone who might be? Reach out to ­­­­Ruhee Saleh more »

controlling the risk. IGAs Responsibility for development and preparation of the IGA including detailed energy and operational savings calculations, financial and energy modelling, economic analysis, energy systems specification and conceptualisation. Ensure outputs comply with the requirements of the programme management data base and validate/approve entries by Energy … the Construction teams to ensure buildability issues and constraints are addressed. Engage with the Commercial team for estimating inputs to IGAs including Tender Workbook Analysis (TWAs) and sub-contractor engagement. Detailed Design Planning the detailed design phase including resource schedules and sub-contract support with the Head of Design. … including use for technical documentation, Microsoft Excel – including use for technical purposes, e.g. to determine component/sub-system performance requirements, model technical problems, statistical analyses, test records, etc. Microsoft Project – programming skills, and Engineering design software (Hevacomp, Cymap, IES) Proven project management, attention to detail and the ability more »

analysts, utilizing your expertise in Python, R, SQL, MATLAB, and other relevant technologies. Responsibilities: Collaborate with stakeholders to understand business requirements and identify data analysis needs. Conduct data analysis to identify patterns, trends, and insights that drive business decisions. Develop and maintain data visualizations and dashboards to provide … clear and actionable insights to stakeholders. Assist in the optimization of sales funnels and forecasting models through data analysis and statistical modelling. Collaborate with cross-functional teams to improve data quality, integrity, and governance. Work within the marketing function to enable growth using Data Analytics and Insights. Skills … paced environment. Strong proficiency in Python, R, and MATLAB, Experience with data visualization tools such as Tableau, Power BI, or D3.js. Solid understanding of statistical analysis and predictive modelling techniques. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills to more »

test environments and diesel engines would be beneficial. * Applied experience with surface finish measurement. * Data driven mindset, experience in applying design for inspection and statistical analysis. * Knowledge of traceability, measurement uncertainty, gauge R&R, Measurement System Analysis (MSA). * Experience of writing measurement programme (CMMs and Taylor Hobson more »

The Workforce Information Lead has day to day line management responsibilities and will ensure that the team are meeting service priorities. You will lead analysis of the current and future workforce, identifying potential gaps, surpluses and shortfalls, skills mismatches and, working with professional leads, identifying strategies, plans and actions … The Workforce Information Lead has day to day line management responsibilities and will ensure that the team are meeting service priorities. You will lead analysis of the current and future workforce, identifying potential gaps, surpluses and shortfalls, skills mismatches and, working with professional leads, identifying strategies, plans and actions … which aids HR & Payroll, the Board, Senior Management and our end-users. To produce detailed and summarised analytics of all workforce data, undertaking trend analysis, heat mapping, benchmarking and predictive analytics. To be responsible for the alignment of all work structure data with the organisational and financial hierarchies within more »

the provision of aseptically prepared intravenous medicines using technical skills, including final check and release of aseptically prepared products. To lead on economical and statistical analysis. Main duties of the job To assist in the provision of aseptically prepared pharmaceuticals (batches and patient specific). To lead on Cost more »

their associated outcomes. Perform Biomedical analyses and processes, managing workload processing to comply with both Quality Standards and Key Performance Indicators. Undertake business process analysis and statistical analysis for improvement projects to support wider change. Manage the introduction of new technologies/processes and to maximise the … and investigate all incidents and adverse events entering the information in the CAPA module of Q-pulse in a timely manner, conducting Root Cause analysis and remedial action as required. Chair/lead and/or participate in Technical, Training Quality, Audit and Management meetings as required. Attendance at more »

Division through achieving its operational, financial and strategic objectives and ensuring that the Trust and Division is working towards top peer performance through comparative analysis and a thorough understanding of best practice both nationally and internationally, and effective use of data and insight to develop understanding drive decision making. … The post holder will be responsible for overseeing the reporting and analysis of non- financial performance of the Division, ensuring that there are robust measures in place to monitor, report and manage non-financial performance across all aspects of the business. The post will require the development of effective … Intelligence with the production of regular reports on Divisional performance to the Trusts Board and its Quality and Finance & Performance Committees. To develop the analysis and insight into the performance of the Division, establishing business intelligence to inform efficiency and cost improvement initiatives. To lead the implementation of robust more »

As a Data Analyst Trainer you will teach, mentor and guide adult students of varying levels of knowledge and experience, in mastering fundamental data analysis techniques and tools. Responsibilities include collaborating with other trainers and stakeholders, conducting one-on-one or group tutoring sessions, offering personalised feedback, and facilitating … Apprenticeship Data Analyst Higher Technical Qualifications Data Analyst Bootcamps The role includes: Deliver mainly online and on occasions face to face training in Data Analysis to groups and individual learners. Some evening training sessions will be required for which you will receive time off in lieu. Work independently and … for someone with the following knowledge: Data Wrangling: Ability to clean, preprocess, and manipulate data from various sources to make it suitable for analysis. Statistical Analysis : Proficiency in applying statistical methods to analyse data, interpret results, and draw meaningful conclusions. Data Visualisation: Skill in creating visually appealing more »

be varied, and because of the relatively small size of the company, means your work will include a variety of project types including: Product analysis looking at player behaviour in games. Identifying how changes and game updates are affecting player behaviour. Whether its improving user experience, driving enhancements to … monetisation, or answering business related questions which arise from time to time about the player base Providing statistical analysis through the application of advanced analytics and data science techniques looking at customer churn prevention strategies and prediction, pricing and reward strategies and mechanics. With a firm understanding of … statistical significance Commercial analysis and game analytics deep diving into game performance and providing actionable insight around player and commercial objectives. Including recommendations based on those insights. Design and carry out testing through split run analysis experiments on the player base Providing data visualisations to bring the more »