51 to 75 of 90 Permanent Statistical Analysis Jobs in England

by importing, cleaning and organising raw data in a way that enables both you and the team to make best use of it. Data Analysis by working with technical experts from the transport, operations and energy sectors to analyse current operations and help model physical and operations scenarios to … in partnership with the other senior analysts and CEO to deliver client projects. Requirements: The role requires significant amounts of hands-on quantitative data analysis, so you will need: Degree level qualification or higher in a numerate discipline (e.g. computer science, economics, logistics, engineering or physics) At least … Tableau SQL Excel & VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles 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 »

industry experience in data science and materials science, complemented by a strong commercial background, are also encouraged to apply. Proven expertise in computational modelling, statistical analysis, and machine learning. Knowledge/Skills: Ability to craft compelling data-driven narratives for clients and stakeholders. Excellent analytical and problem-solving more »

and maintain stringent risk management protocols to monitor and control the risk exposure of managed accounts, adhering to fund policies and risk tolerance. Performance Analysis: Conduct in-depth analysis of traders and strategies to guide capital allocation and risk management decisions. Team Collaboration: Work closely with the investment … risk indicators . Advanced degree in Finance, Economics, Mathematics, Computer Science, or another relevant quantitative field. Exceptional analytical and quantitative skills , with expertise in statistical analysis and financial modelling. Outstanding communication and interpersonal abilities, with the skill to explain complex concepts to a varied audience. Team player with 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 »

future for generations to come. Requirements Graduate in STEM related subjects (Science, Technology, Engineering & Mathematics) Relevant experience working with large data sets to provide analysis and insight Knowledge of legislation/guidelines for presentation of data for compliance products Proven experience in statistical analysis Good communication skills 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 »

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). Responsibilities: Manage the development, qualification and validation of analytical test methods in … testing in support of cGMP operations. 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 »

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 »

evaluating potential, scoping projects, and defining deliverables. and deploy advanced machine learning models using Azure Machine Learning and open-source stack, ensuring robustness through statistical analysis and hypothesis testing. and mentor data science team members, fostering their growth and skill development while delivering impactful insights through data visualizations … the Insurance Domain. in Python or R programming languages, extensive experience with ML algorithms and models, including Regression, Tree-based, Unsupervised, and NLP. of statistical analysis, hypothesis testing, experimental design, and expertise in machine learning algorithms and frameworks such as TensorFlow, Keras, PyTorch. If you are interested in … this role, apply now. Keywords: Data Science, Data Scientist, ML, Machine Learning, statistical analysis, Python, Keras, TensorFlow, PyTorch, Insurance, Financial Services. Top of Form 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 »

project leaders: keeping them informed, preparing briefing notes, data reviews, meeting agendas, summaries, and up-to-date project filing · Responsible for the execution of analysis plans co-developed with team leads ABOUT YOUR BACKGROUND · 3+ years of experience in a quantitative research agency role using statistical analysis … and their projects are elevated · Indomitable Inventiveness: the entrepreneurial resourcefulness to navigate complex challenges and disrupt expectations ABOUT YOUR SKILLSET · Quantitative research · Experience with statistical analysis tools: SPSS, U&As, running multivariate analyses · Experience with brand health trackers- a focus on retail and fashion is desired · Knowledge of 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 »

of delivering impactful solutions. Proficiency in programming languages such as Python or R, and experience with machine learning libraries and frameworks. Solid understanding of statistical analysis, data mining, and predictive modeling techniques. Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts. Strong leadership more »

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 »

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 »

complex account in conjunction with business unit and support groups • Leads a team of Associate Analysts, Analysts, or Sr. Analysts to deliver high quality analysis and clear recommendations that create value for clients. Oversees the delivery of consultative recommendations to clients, drawing from information captured from the team and … leveraging prior experience • Ensures consistency of approach, quality of insight, and accuracy of delivery across programs • Oversees descriptive and statistical analysis, qualitative process documentation via interviews, focus groups, and side by side or remote observations, recommendation development, and initiative measurement • Provides technical guidance, answering questions, strategizing analytical framework … and work plan development, checking and validating results and findings, etc. • Communicates results of detailed data analysis in way that ties to business impacts and is compelling to stakeholders and clients • Co-leads internal and external client presentations of key insights, gap assessments, solution recommendations, and initiative success measurement 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 »

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 »

to join One team, One Kroll. RESPONSIBILITIES:Economic modelling assignmentsAssist the project lead on litigation support assignmentsLead on project workstreamsProvide technical economic and quantitative analysis to lawyers in order to help progress casesAssist clients with disputes in the anti-trust/competition, economic regulatory, shareholder and commercial disputes Depending … consultancy, government or corporate. Economic modelling skills are essential. Should be confident working with very large datasets and preferably have a strong understanding of statistical analyses, regression techniques, market modelling and the application of other economic techniques. Knowledge of statistical packages desirable.Comfortable researching economic, market and regulatory events.Excellent 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 »