51 to 75 of 119 Permanent Statistical Analysis Jobs in the UK

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 »

post hoc, HTA, regional, PK-PD or Biomarkers analyses in collaboration with the Study Statistician. • Is responsible for the quality and timeliness of assigned statistical tasks following company working practices and regulatory guidelines. • Reviews synopsis, protocol, statistical analysis plans (SAP), Case Report Form (CRF), Data Validation Plans … tables listings and figure (TLF) specifications. • Performs statistical analyses in accordance with protocol, SAP, good statistical practice, and available regulatory guidelines. • Reviews outputs for validity and completeness, QC inferential statistical analyses. • Reviews Clinical Study Reports (CSR), other reports or publications. • Accumulates and maintains relevant knowledge of statistical … years' experience within Statistics/Data Science at a pharmaceutical company. • M.S in Biostatistics, Statistics or related scientific field with proven experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry. • Good skills in SAS and R required. 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 »

in C++ or similar languages. Experience with scripting languages like Python, PERL, and Unix. Knowledge of ATE (V93K/Teradyne) is advantageous. Familiarity with statistical analysis tools (JMP, etc.) for NPI and Production support. Responsibility and Authority for the Test Engineer: Reporting to the Test Development Manager. Developing 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 »

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 »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

Key Tasks: Fraud Detection: Access existing systems, evaluate vendor models, and create a roadmap for system improvements aimed at fraud prevention. Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities. Predictive Modelling: Employ predictive modelling techniques to identify … Department Collaboration: Work closely with other departments to enhance overall security and fraud detection. Requirements: Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn … . Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Statistical Analysis: Basic understanding of statistical analysis. Growth Mindset: Proactive and enthusiastic about keeping up-to-date with the latest technologies and researching new ideas. Commercial Experience: Experience in implementing production more »

including complex queries and stored procedures. • Experience with SSIS, SSRS, and SSAS. • Strong understanding of data warehousing concepts, ETL, and data modelling. • Familiarity with statistical analysis, data visualization, data mining, and data transformation. • Power BI certification is a plus. • Proven problem-solving skills and the ability to handle 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 »

currently in an exciting time of growth. THE ROLE As a Customer Analyst, some of your main responsibilities will be: Preparing and presenting compelling analysis findings to the senior management teams. Providing actionable insights of the back of analysis completed on customer and marketing data, using SQL. Own … projects end-to-end and manage the process. Work mainly on customer and marketing data sets looking at; customer LTV, churn, retention, marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. … Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a STEM subject. THE BENEFITS A salary of £40,000-£50,000. Comprehensive benefits package. Lots of flexible working - remote first. Lots of ownership of projects. more »

that support short term incentives and annual bonus plans as well as associated payments that form part of the annual reward cycle. Provides guidance, statistical analysis, data modelling and cost analysis as and when required. Deliver regular data reports that hold up to date information on the more »

of the BI platform to help build out the road map Collaborate with stakeholders to understand their needs and deliver actionable insights Perform data analysis and data validation to ensure data quality and accuracy Gather business requirements into data models and analytical solutions YOUR SKILLS AND EXPERIENCE To be … Power BI, SQL, SSAS, SSMS, and SSIS for the end-to-end process of data Utilising DAX for data modeling Hands on experience of statistical analysis and its implementation in BI models Extensive experience delivering BI solutions working with the BI stack and providing end-to-end BI more »

processes.. Analytical Skills: Excellent problem-solving skills and attention to detail. Ability to interpret complex data sets and translate them into actionable insights. Strong statistical analysis skills. This role is hybrid 3 days onsite in Carlisle. Please note this client can't provide sponsorship more »

other financial institution Strong programming skills in C# and experience with SQL and database management systems 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 »

role in the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and … algorithmic trading, particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the 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 »

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 »

trends related to analytics and product development. - Ability to work effectively with management and other groups or project teams. - Computer literacy and experience in statistical analysis. - Excellent communication skills. - Good organisational skills. Are you interested or know someone who might be? Reach out to Danielle Hull using the following more »

engagement tools. Building predictive and personalization models and deploying products at scale. What should my background look like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have more »

test and characterization methodologies for silicon carbide power semiconductor devices to understand their reliability and failure mechanisms in operation. Design experiments and co-ordinate statistical studies to determine device reliability, for example gate oxide lifetime marathon test, time-dependent dielectric breakdown. Develop screening and burn-in procedures for SiC … the field of semiconductor technology; Experience in reliability testing of SiC MOSFETs and diodes, both at wafer- and package-level; A good understanding of statistical analysis and design of experiments; Knowledge of semiconductor TCAD tools for device simulation, i.e. Synopsys Sentaurus, Silvaco Victory; Background in electronics engineering for more »

engagement tools. Building predictive and personalization models and deploying products at scale. What should my background look like? You’ll come from a strong statistical analysis/mathematical background with experience in applying solutions to real world problems. You’ll be able to identify opportunities in data, have more »

and cyber security applications to safeguard users data · Prepare a report log on daily occurring queries to the development team · Monitoring data quality, performing statistical analysis of data Desirable Requirements · Strong knowledge about SQL data and Excel skills · ¾ years’ experience as a help desk Qualifications and Experience: · A 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 »