26 to 50 of 141 Permanent Statistical Analysis Jobs

opportunity to gain experience across the spectrum of our work and make contributions, including the testing of radiation and imaging equipment, data handling and analysis, audits and software development work. You will have a BSc (Hons) degree or equivalent in physics or containing a major physics component and an … The post-holder will contribute to many aspects of the Department's work which includes testing of radiation and imaging equipment, data handling and analysis, audits and software development work. The post holder will be expected to work on all Trust sites and to travel to sites where external … major physics component Desirable MSc in radiation or medical physics or other relevant subject Experience Essential Project work involving practical experience of measurement, data analysis and report presentation Previous work or training experience in a science, technology or engineering environment Computer programming Experience in Microsoft 365 applications Desirable Big more »

large datasets from multiple sources to ensure data integrity and reliability. Develop machine learning models and algorithms to optimize user engagement, customer segmentation, cohort analysis and pricing strategies. Conduct exploratory data analysis to uncover patterns, trends, and correlations that inform product development and marketing initiatives. Build and deploy … in programming languages such as Python or R, along with libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Pandas. Strong knowledge of statistical analysis, hypothesis testing, and experimental design. Experience with SQL databases, data warehousing, and big data technologies. Familiarity with data visualisation tools such as more »

leading engineering company undergrowing a significant period of growth now require a Test Engineer. The Role Create test strategies, test plans, perform tests and statistical data analysis related to new products before launch and serial products on request of different departments and projects. Work on test concepts from … firmware related for various test purposes including simulation and test automatization for internal and external build following the relevant processes and demands. Use of statistical analysis to prove performance. Use of Six Sigma and statistical tools for various applications in test engineering. Direct test technicians to perform … a similar field. Previous employment within a Manufacturing environment. Experience of or exposure to test. Working knowledge of electronics equipment. Experience in testing, data analysis and documentation. Experience in planning and building test equipment including documentation hardware and software related, verification and validation. Experience within a Test Lab, R more »

leading engineering company undergrowing a significant period of growth now require a Test Engineer. The Role Create test strategies, test plans, perform tests and statistical data analysis related to new products before launch and serial products on request of different departments and projects. Work on test concepts from … firmware related for various test purposes including simulation and test automatization for internal and external build following the relevant processes and demands. Use of statistical analysis to prove performance. Use of Six Sigma and statistical tools for various applications in test engineering. Direct test technicians to perform … a similar field. Previous employment within a Manufacturing environment. Experience of or exposure to test. Working knowledge of electronics equipment. Experience in testing, data analysis and documentation. Experience in planning and building test equipment including documentation hardware and software related, verification and validation. Experience within a Test Lab, R more »

/Quantitative/Economist Role: Senior Statistician Company: AI PropTech Salary: up to £70,000 Location: London – Hybrid Responsibilities: • Explore the data through thorough analysis to unveil statistical indicators and patterns within our datasets. • Examine the structure and integrity of the data, detecting anomalies or discrepancies. • Your proficiency … in statistical analysis, data modelling, and problem-solving will play a critical role in guiding the trajectory of our products and services. • Gauge the significance and scale of the data to support decision-making. • Choose appropriate statistical methods and algorithms tailored to project needs. • Prototype data models … to tackle real-world issues and refine them as necessary. • Utilise Python (and SQL) to develop and enhance statistical models. Key requirements: • Demonstrated expertise in roles such as Statistician, Trader, Economist, Quantitative (Quant) Analyst, or comparable positions. • Proficient in Python, SQL, and Excel for data manipulation, analysis, and more »

Intelligence Analyst to joins its expanding team based in Chelmsford. You will be joining a team who are broadly responsible for the reporting and analysis tosupport in decision-making.The company offers trusted security advice, risk mitigation strategies, secure support and integratedsolutions for strategic clients or those operating in complex … and produce scheduled and ad-hoc reports for both internal and external stakeholders, areas include business performance, HR and Governance. Perform in-depth data analysis to identify trends and highlight issues, support the management in making better business decisions. Write T-SQL codes in the database to collect and … enhance data accuracy. Create new reports and manage/review existing reports in the SSRS as per business requirement. Opportunity to perform further meaningful analysis using various tools e.g. Looker Studio Main duties of the job Responsibilities: Advanced Google Sheet and Microsoft Excel skills. Working knowledge of database (SQL more »

advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operate as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application and financial impact analysis. Establish and maintain effective performance tracking; identify improvement … performance and project progress to management & business partners. Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Deliver effective presentations of findings and recommendations to multiple levels of leadership, creates more »

advanced analytics including customer segmentation, optimization, prescriptive analytics and machine learning algorithm & recommendation to solve business problems. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Delivers effective presentations of findings and recommendations to multiple levels of leadership, creating visual displays of quantitative information. Establishes and maintains effective performance tracking; identify improvement opportunity, form hypothesis more »

thinking to solve business problems by leveraging techniques such as segmentation, optimization, advanced analytics and machine learning. Creates Consumer Credit Review report to summarize analysis and issues identified based on assessment on asset quality and credit risk management practices. This position will closely monitor performance of credit strategies and … thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design and implement tests to drive strategy enhancement and 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 »

leader in Product & Operations Analytics through developing an understanding of our customers (including customer lifetime value), products, and features. This includes developing reporting, automation, analysis, and modeling for a wide variety of customer experiences from the customer's initial onboarding through customer attrition, as well as all experiences in … thinking to translate business problem into analytical framework(s), and independently recommend actions and provide business insights. Operates as a subject matter expert on statistical analysis, test and design of experiment, analysis methodology, modeling & application, and financial impact analysis. Collaborates with cross-functional partners to understand their … business needs, formulate, and complete end-to-end analysis that includes data gathering, analysis, ongoing scaled deliverables, and presentations. Facilitate implementation of work product and ensure accuracy. Establishes and maintains effective performance tracking; identifies improvement opportunity, form hypothesis, propose, design, and implement tests to drive strategy enhancement and 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 »

critically * Proficient in data visualization tools, preferably Power BI * Excellent stakeholder management and communication abilities * Experience in SQL querying and data manipulation * Knowledge of statistical analysis and data mining techniques * Bachelor's degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, or related discipline) * Fluency in French 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 »

monthly updates; Directors' meetings and CFTF meetings • Drive the compilation and distribution of regular reporting to executives • Support Risk Management Group with ad hoc analysis • Assist with training new analysts that join the team • Create new and develop upon existing analytical models to price individual service and commercial contracts … Conduct spend analysis to determine pricing for commercial contract renewals • Increase productivity by proposing new analytics and automating models and applications • Utilize tools such as R, Python, SQL to create process improvements and automations • Perform analysis and investigate relationships between key variables including Reps, Price Realization, GP% and … but are not limited to: • A minimum of a Bachelor's in business, finance, statistics, accounting or similar • Formal training in financial modeling and statistical analysis in Excel, Tableau, and similar applications • Basic familiarity with data analysis programming languages such as R, Python, SQL • 3+ years of more »

Oracle, NoSQL etc. • Experience with data visualization using Tableau, Quicksight, or similar tools • Experience with data modeling, warehousing and building ETL pipelines • Experience in Statistical Analysis packages such as R, SAS and Matlab • Experience using SQL to pull data from a database or data warehouse and scripting experience more »

raised in relation to data and reporting Assist with the continuous improvement, development and streamlining of reporting processes Experience: Proven expertise in data modelling, statistical analysis, and the use of analytics and visualisation tools (e.g., SQL, Python, R, Tableau, Power BI) Understand MS Excel to an advanced level more »

on complaint issues. • Evaluate process deficiencies, communication breakdowns, and customer expectations to determine accurate root causes. • Identify opportunities for process improvement based on complaint analysis, industry best practices, and benchmarking data. • Participate in cross-functional teams and process improvement projects to drive systemic changes and enhance customer satisfaction. • Develop … and implement corrective and preventive actions (CAPAs) to address root causes and prevent recurrence of complaints. Ideal Candidate If you thrive on data analysis and enjoy driving continuous improvement and enhancing customer experience, this role is for you! You should have a keen analytical mindset, a strong background in … statistical analysis, and excellent problem-solving skills. The ability to synthesize complex data into actionable recommendations is essential. Essential Qualifications • Experience in root cause analysis, quality assurance, or process improvement. • Proficiency in root cause analysis methodologies, tools, and data analysis techniques. • Strong analytical skills to more »

training centre. Job description Job responsibilities Please refer to the Job Description for full details. As a Clinical Scientist (Bioinformatics) key duties include: Data Analysis & Interpretation : Conduct comprehensive analysis of genomic data using bioinformatics tools and methodologies. Interpret results in the context of rare diseases and cancer to … experience of successful project management Experience in IT, applications, developments, processes and organisation Knowledge and skills Essential Knowledge of Next Generation Sequencing approaches and statistical techniques used in manipulation of large data analysis Knowledge of bioinformatic tools, resources and techniques applied to medical genetics Proven experience of working … suitable for pipeline development and ad hoc scripting Knowledge of SQL database design, development, and administration Desirable Programming skills in a language suitable for statistical analysis (for example R or Python) Experience using bioinformatics workflow languages (such as Nextflow or WDL) Experience in LINUX administration Disclosure and Barring more »

to manipulate and analyse large datasets, ensuring data accuracy and consistency. Collaborate with cross-functional teams to gather and document business requirements for data analysis projects. Assist in data modelling and architecture design to optimise Qlik/Yellowfin performance and maintainability. Conduct data quality assessments and implement data cleansing … end-user training and support and best practices. Continuously research emerging trends in data analytics and new technologies. Resolve issues on production environments. Perform statistical analysis on data to assist in the building of AI models. Participate in training and other activities to enhance and share the knowledge … intelligence tool - such as Qlik or Yellowfin Strong proficiency in SQL with at least 2 years of experience using SQL for data manipulation and analysis Solid understanding of data modelling Data warehousing and ETL concepts 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 »

machine collaboration. Responsibilities: Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries. Data Analysis: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals. Model Training … a related field. Proven experience in developing and implementing generative AI models. Proficient in programming languages such as Python and JavaScript Strong background in statistical analysis, machine learning, and data visualization. Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment. Demonstrated expertise more »

Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming language (R, Python or Julia) Proficient in at least one BI tool (Power BI, Tableau, Qlik Sense). Key responsibilities Manage … SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles and best practice coding (GIT, SVN) Ability to optimise workflows and analysis for map reduce processing Experience with BI software (Power BI, Tableau, Qlik Sense) Any experience with data engineering, PySpark, Databricks, Delta Lakes beneficial Confident … presenting complex problems in ways suitable to target audience Experience leading or managing a small analysis team Familiarity working in an agile team This is a Hybrid role and will require at least 1 day week, ideally two in the HQ in Exeter If you are a highly motivated more »

and dashboards for the project and external clients. Data Organisation : Structure data to ensure compliance with WBS, CBS, and OBS for consistent reporting. Trend Analysis : Use data to predict trends and perform statistical analysis, visualising data in user-friendly formats. Digital Reporting : Implement digital reports and dashboards … using data from the Data Lake. Support Monthly Reports : Provide intelligent information and analysis for monthly report production. Training and Support : Develop training materials, conduct sessions, and provide user support. System Administration : Manage system configuration, testing, user administration, and licence management. Innovation : Attend industry events to innovate and advance more »

Effectively communicate findings to both technical and non-technical stakeholders through presentations, reports, and visualizations. Provide actionable insights and recommendations to stakeholders using data analysis, to help them make informed decisions and drive business growth. Stay updated with the latest industry trends across data & analytics leveraging technologies to improve … business capabilities. Requirements: Background in leading teams and driving stagey across Data Science and Analytics. In-depth knowledge of statistical analysis techniques and methodologies Proven experience in data analysis and visualization tools, such as SQL, Tableau, Power BI, or similar tools Excellent communication skills, presentation skills and more »