15 of 15 Statistical Analysis Jobs in Cambridgeshire

crucial role in leveraging data to drive insights and recommendations for our ecommerce business. The ideal candidate will have expertise in Google Analytics 4 (GA4), Google BigQuery, SQL, and statistical analysis. You must also demonstrate a high level of independence and self-sufficiency, capable of working autonomously to analyze, interpret, and derive actionable insights from ecommerce data. Responsibilities: Data … Analysis and Interpretation: Utilize GA4, Google BigQuery, and SQL to extract, analyze, and interpret large volumes of data related to user behaviour, website performance, and ecommerce transactions. Develop and implement statistical models to uncover trends, patterns, and opportunities for optimization. Insights and Reporting: Generate actionable insights and present findings to cross-functional teams, providing data-driven recommendations for … Master’s degree in Data Science, Statistics, Computer Science, or a related field. Proven experience in digital ecommerce data science, with a focus on GA4, Google BigQuery, SQL, and statistical analysis. Strong proficiency in data visualization tools such as Tableau or Power BI. Experience with programming languages such as Python or R for data analysis and manipulation. Excellent More ❯

big data" sources to generate actionable insights. Build databases and is responsible for the curation of Data, including experimental data management. Extracting knowledge, insights and predictions from data using statistical methods, machine learning and data visualization. Work with scientists to identify optimal ways to prepare, annotate, store and navigate their datasets, including data application design and improvement. Define and … document best practices for capturing and entering experimental metadata, and educate scientists and collaborators about these standards. Build pipelines for quality control, processing and analysis of raw targeted and un-targeted datasets. Develops and codes software programs and leverages algorithms and methodologies being developed by the scientific community for use cases of relevance to Altos Labs. Stay current with … such as Biology, Chemistry, Computer Science, Physics, etc. Relevant work experience in either an academic or industry setting. Working knowledge of cell biology and experience in large scale data analysis and statistical modeling on datasets like RNA-seq, ATAC-seq, protein network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong More ❯

goals. Major responsibilities • Deliver key goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic • Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering • Drive core business analytics and data science explorations to inform key business decisions and algorithm roadmap • Establish scalable, efficient … highly quantitative field - 5+ years of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building - Strongly motivated More ❯

Statistician to join our growing bioinformatics team! Apply your expertise in data science, statistics and programming to accelerate drug discovery and development across diverse projects. Responsibilities Apply analytical and statistical rigour to enable better decision making during experimental design. Provide robust and rigorous statistical analyses of experimental results to aid our drug discovery programs. Translate the results of … statistical analyses to non-experts, explaining the methodology, the key assumptions, and the main outcomes of the analysis in a way that is easily consumed and understood. Develop techniques for better visualising and explaining sophisticated statistical analyses. Collaborate with lab scientists to drive automation and standardisation of workflows for routine biological assays. What we look for A More ❯

four Research Groups: Science & Emerging Technology Health & Care Education, Employment, & Skills Defence, Security & Justice The Lab will be the organisation’s hub for applied analytics, covering AI/ML, statistical and causal inference, economic and simulation modelling, and software engineering. Its work supports RAND Europe’s mission to improve policy and decision-making through research and analysis. We are … portfolio, ensuring data science activities within projects are delivered internally to agreed timeframes and budgets, tackle resourcing issues early. Provide senior oversight for work that uses AI/ML, statistical analysis, causal inference, simulation or economic modelling, and help ensure projects have a clear policy relevance. Design and manage a technical development programme to continue to improve existing … Build partnerships with academia, industry and government. Experience leading data science or analytics teams of around 10 FTE or more. Depth in at least one of: AI/ML, statistical analysis, causal inference, economic or simulation modelling, and an appreciation of the others. Understanding of the key principles of good programming. Success in business development and client relationships. More ❯

will require close interaction with CGD's internal team as well as CGD's Asian partners that provide CGD with wafer fab, assembly and test, reliability test and failure analysis services. In addition to Product Engineering responsibilities, the role also requires an ability to provide Project Management oversight for the development of Enabling Technologies at our subcontractors. Requirements Skills … and IC Test Hardware Development, Yield Engineering Fabless Semiconductor: IC Product Qualification Plan, IC Reliability and Failure Study, RMA Handling Knowledge of WAT, WS/CP and FT data analysis and correlation methods Strong data mining and analytical skills combined with excellent ability for clear and concise data presentation and derived conclusions Extensive use of semiconductor industry data analysis tools/software and ability to create scripts for standard analysis and journals, e.g. yieldHUB, Spotfire, JMP etc Broad experience of supplier selection and management from within a fabless semiconductor company Good knowledge of general semiconductor industry process quality control system and statistical analysis methodology: SPC charts review, Cp, Cpk improvement, etc. A solid understanding of More ❯

Effectively communicate and educate other engineers in the theory and best practices of the application of AI. Evaluate and select AI algorithms and tools appropriate for specific problems. Perform statistical analysis and tuning to ensure implemented algorithms are producing accurate results. Reporting and documenting on AI processes and results. Participate in code reviews, testing, and debugging to ensure More ❯

review on new product/cognitive task development. Providing scientific support to other teams within the company (e.g. Product Management, Marketing, Customer Services etc.), where necessary. Provide support to statistical analysis activities, including: Analyse data to support client enquiries and new product development. Manage scientific review of study data as part of the Data Management process. Support the … analysis and collection of internal data projects. Support the delivery of statistical consultancy activities, including: Review and QC statistical analysis code bases and outputs. Handle unblinding process for analysis and data report delivery. Maintain and improve scientific, analytical and product knowledge, ensuring a thorough understanding of the range of scientific products and services offered by … and external stakeholders. Attention to detail and accuracy. Preferred: Knowledge of psychopharmacology and understanding of the principles of psychopharmacological design. Basic understanding of the general principles of psychometrics and statistical analysis. Experience in handling & interpreting data and working with databases. Some familiarity with statistical software (e.g., R, Python, SAS). Able to travel on occasions to conferences, Investigator More ❯

review on new product/cognitive task development. Providing scientific support to other teams within the company (e.g. Product Management, Marketing, Customer Services etc.), where necessary. Provide support to statistical analysis activities, including: Analyse data to support client enquiries and new product development. Manage scientific review of study data as part of the Data Management process. Support the … analysis and collection of internal data projects. Support the delivery of statistical consultancy activities, including: Review and QC statistical analysis code bases and outputs. Handle unblinding process for analysis and data report delivery. Maintain and improve scientific, analytical and product knowledge, ensuring a thorough understanding of the range of scientific products and services offered by … and external stakeholders. Attention to detail and accuracy. Preferred: Knowledge of psychopharmacology and understanding of the principles of psychopharmacological design. Basic understanding of the general principles of psychometrics and statistical analysis. Experience in handling & interpreting data and working with databases. Some familiarity with statistical software (e.g., R, Python, SAS). Able to travel on occasions to conferences, Investigator More ❯

taking independent decisions as well as having the ability to work cooperatively within a team, Able to show knowledge or interest in cyber-security/malware forensics, Experienced with statistical analysis of static or dynamic systems, Familiar with Docker, Knowledgeable about cloud computing environments would be beneficial. Benefits we offer: 23 days' holiday + all public holidays, rising More ❯

taking independent decisions as well as having the ability to work cooperatively within a team, Able to show knowledge or interest in cyber-security/malware forensics, Experienced with statistical analysis of static or dynamic systems, Familiar with Docker, Knowledgeable about cloud computing environments would be beneficial. 23 days' holiday + all public holidays, rising to 25 days More ❯

This role is considered Hybrid. Principal Statistical Programmer The Principal Statistical Programmer will provide expert-level hands-on principal programming support and technical leadership to develop, maintain, validate and run SAS computer programs that access, visualize, analyze, and report clinical trial data, in accordance with statistical analysis plans, ICH guidelines, and applicable regulatory requirements. The ability … to work independently and expert SAS/GRAPH programming experience is required. Summary of Key Responsibilities Write SAS programs that produce or validate tables, listings, figures and analysis datasets, in support of clinical studies or complex integrated analyses for submission; Develop and follow good programming practices, including adequately documenting SAS code; Perform, plan and coordinate project work to ensure … SAS code; Write specifications to describe programming needs; Create and validate global macros or systems that streamline repetitive operations to increase programming efficiency; Keep abreast of current and new statistical programming techniques and other applicable technical advancements while assisting in their implementation; Provide input into, or lead general standardization efforts (e.g., CRFs, query checks, standard statistical programs, data More ❯

Requirements Bachelor's degree in a related field or equivalent experience. Proven experience in quality assurance within an electronics manufacturing environment. Working knowledge of quality improvement, problem-solving, and analysis techniques Strong verbal and written communication skills for internal and external engagement. Strong interpersonal skills for collaboration with all company areas and external bodies. Proficiency in spreadsheets and statistical analysis, including data collection and management. Excellent attention to detail and problem-solving skills. Strong planning, organisation, and critical/logical thinking abilities. Teamwork, collaboration, and facilitation skills to resolve issues and lead continuous quality improvement. Knowledge of electronic component reliability and failure mechanisms is highly desirable If you are interested in the role of Quality Assurance Manager More ❯

will require close interaction with CGD’s internal team as well as CGD’s Asian partners that provide CGD with wafer fab, assembly and test, reliability test and failure analysis services. In addition to Quality Management responsibilities, the role also requires an ability to assess markets and applications to provide insights and strategies for meeting the existing and future … customer (OEM or Tier 1) exposure and comfortable with defending product quality strategies to AECQ standards at customer sites In depth knowledge of manufacturing process quality control system and statistical analysis methodology: SPC charts review, Cp, Cpk improvement, etc. Demonstrable experience of developing and maintaining ISO9001 and ISO14001 general Quality and Environmental best practices Desirable Broad experience of … supplier selection and management from within an IDM or fabless semiconductor company Experience of assessing and selecting non-destructive and destructive semiconductor failure analysis methods and techniques Project management skills Experience of power discrete or power integrated circuit manufacture and test Personal Skills Good communication skills and team player attitude Self-starter, flexible and able to handle multiple projects More ❯

knowledge to improve practices. Undertake additional tasks as requested by Senior Management. Previous Experience: Experience in architectural and structural precast concrete manufacturing. Strong technical knowledge of concrete technology and statistical analysis. Excellent numerical, measurement, and cross-referencing skills. Methodical problem-solving and attention to detail. Strong time management with the ability to prioritise and manage multiple tasks. Effective communication More ❯