1 to 25 of 59 Statistical Analysis Jobs

potential policy changes The LTEC programme is a strategically important, research initiative designed to address critical evidence gaps long-term, systematic data collection and analysis across 37 sites in England. The programme's success depends not only on data collection, but on robust statistical design and analysis … monitoring design, a key 2026/27 priority, ensuring that future data collection is efficient, targeted, and statistically robust. skills & requirements Key Tasks * Provide statistical leadership for the LTEC programme, undertaking complex statistical analysis to help meet its primary objectives. * Unlock the value of long-term datasets ...

Opportunity: Statistical Programmer 6 Months (possible extension) Redwood City, CA (Hybrid) This position will be responsible for statistical programming and verification of Clinical Trial Data to produce high quality deliverables in a fast-paced environment. This person needs to consistently meet study timelines, quality standards and requirements … work closely and communicate effectively with internal team members, Statisticians, and other functional group members to best serve the deliverable need. In this position, Statistical Programmer is expected to: Provide Statistical Programming support either in the form of production or verification of SAS scripts and outputs for Analysis ...

professional with strong analytical skills and the ability to work collaboratively with cross-functional teams. The ideal candidate will have experience in data visualization, statistical analysis, and data management. Responsibilities: Analyze large datasets to identify trends, patterns, and insights that drive business decisions. Develop and maintain dashboards … them into data-driven solutions. Ensure data accuracy and integrity by performing regular data validation and quality checks. Provide actionable recommendations based on data analysis to improve business performance. Stay updated on industry trends and best practices in data analytics and visualization. Qualifications: Bachelor's degree in Data Science ...

generation through to evidence-based recommendations. Evaluate diverse structured and unstructured datasets to identify commercial opportunities. Establish and maintain high standards for data evaluation, statistical analysis, and technical excellence. Improve processes to increase the speed and accuracy of data source assessments. Partner with data acquisition teams to support … automation to enhance research quality and efficiency. Your Skills & Experience Strong commercial experience leading data science, data research, analytics, or statistical research teams. Deep expertise in statistical analysis, data modelling, and working with complex real-world datasets. Advanced Python and SQL skills with the ability to review ...

will help ensure compliance with industry regulations while driving excellence in quality monitoring and reporting. Key Responsibilities Lead monthly product quality monitoring activities, utilising statistical analysis and trending methodologies to identify emerging quality signals and product performance concerns. Develop, maintain, and enhance Power BI dashboards and reporting tools … support quality monitoring and business decision-making. Conduct detailed complaint investigations, trend analysis, and ad hoc data reviews to support product improvement and risk mitigation programmes. Support post-market surveillance activities, including trending analysis, product monitoring, risk reviews, and safety reporting requirements. Ensure compliance with quality management systems ...

international collaboration, with a strong impact on product quality and process excellence. Verantwoordelijkheden Manage end-to-end NPI quality team with focus on failure analysis, reliability and quality Translate customer and business quality requirements into measurable engineering standards Drive reliability strategies for new technology developments Perform risk assessments using … FMEA, 8D, DoE, and Six Sigma methodologies Support failure analysis activities and reliability investigations Collaborate with suppliers and manufacturing partners to improve process quality Lead and contribute to continuous improvement initiatives across engineering and quality Manage and report on project quality activities within multidisciplinary development programs Belangrijkste vereisten Master ...

diverse range of research projects. The Data Scientist I works collaboratively with statisticians, researchers, methodologists, software developers, and subject matter experts to develop statistical, data science, and computational solutions that improve research, operational efficiency, and decision-making. This role combines strong foundations in data management, statistical modeling, machine … structured and unstructured data, survey data, administrative records, commercial data, text data, and other novel data sources. Responsibilities may include developing analytical workflows, building statistical and machine learning models, creating data products and applications, and evaluating AI approaches for research and operational use. The ideal candidate possesses strong Python ...

Senior Business Intelligence Analyst with strong analytical and technical skills to help improve our digital, marketing, engagement and fundraising activity. Youll use advanced analysis, predictive techniques and data visualisation to uncover audience insight, optimise content and channels, and turn complex data into clear, practical recommendations. Working closely with colleagues … projects, develop reports and dashboards, and help build confidence in data-led decision-making across the organisation. What youll be doing Conducting in-depth analysis to understand audience behaviour, campaign, channel and content performance, and engagement trends Applying advanced analytical techniques, including propensity modelling, predictive analytics and segmentation ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse large … complex datasets to identify trends, patterns and opportunities. Use Python and SQL to extract, manipulate and analyse data. Perform exploratory data analysis and feature engineering. Build predictive models and evaluate their performance. Work closely with Data Engineers to ensure reliable and scalable data pipelines. Translate technical findings into clear ...

Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include statistical analysis, predictive modeling and pattern recognition. Role The Role: Support the delivery … data analysis, reporting and business insight activities across the Insights & Workflow team, ensuring outputs are accurate, timely and aligned to business requirements. Work with large datasets to extract, clean, transform and validate information for use in operational reporting, workflow management and decision-making. Assist with the creation, maintenance ...

quite flexible as a team and meet in person as needed for meetings and team collaboration. We are passionate about delivering high-quality analysis and insight, using data and evidence to support decision-making, reduce health inequalities and improve the health and wellbeing of Surrey's residents. Our Offer … order to be considered for shortlisting, your application will clearly evidence the following skills, experience and align with our behaviours: Experience of using statistical and epidemiological methods for analysing data sets Experience of working with multiple sets of health-related data Experience of using analytics as evidence within assessments ...

quality standards, governance practices, and reporting best practices. Partner with leadership teams to define key performance indicators (KPIs) and operational metrics. Support root cause analysis activities by combining telemetry, operational, and business data sources. Contribute to continuous improvement initiatives by identifying automation opportunities and reducing manual reporting processes. Document … Data Lake, or related cloud data technologies. Experience creating executive dashboards and operational reporting solutions. Knowledge of machine learning, anomaly detection, predictive analytics, or statistical analysis techniques. Experience working with large-scale telemetry, operational, or IoT datasets. Familiarity with DevOps practices, CI/CD pipelines, and GitHub Actions. ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

insights that influence strategy and drive measurable outcomes. Key responsibilities include: Leading advanced analytics and data science projects from concept through to delivery. Applying statistical modelling and analytical techniques to identify trends, drivers and opportunities. Developing prototypes, use cases and analytical frameworks to solve business challenges. Transforming complex datasets … Analytics Management roles. Excellent Python skills (essential). Experience with R and/or SAS is desirable but not mandatory. Strong understanding of statistical analysis, modelling and data-driven decision making. Experience within the pharmaceutical, biotechnology or life sciences Ability to communicate complex analytical findings to senior stakeholders. ...

business performance and customer strategy. Responsibilities include: Analysing customer and business data to identify trends, opportunities and actionable insights Delivering post-campaign and performance analysis to support decision-making Developing customer profiles and audience insights Supporting testing and measurement initiatives to evaluate business and marketing performance Creating reports, dashboards … findings and insights to both technical and non-technical stakeholders Your Skills & Experience Strong SQL and/or Python skills for data extraction and analysis Experience working with customer, product, marketing, sales or business datasets Ability to query data from cloud-based environments such as AWS, Azure ...

experimental data into meaningful insights, visualisations and scalable analytical workflows. The Data Scientist will: Develop tools and workflows to automate the extraction, processing and analysis of experimental data. Build and maintain data pipelines, databases and analytical frameworks. Generate meaningful features, visualisations and reports from complex datasets. Apply statistical analysis and machine learning techniques to support product development decisions. Present insights to both technical and non-technical stakeholders. Develop scripts, tools and automation solutions to improve business efficiency. Identify opportunities to enhance existing data methodologies and accelerate development cycles. The Data Scientist will have: A degree ...

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build scalable data pipelines and automate model training and inference processes. Collaborate with engineering teams ...

product data into meaningful insights that improve quality, performance and decision-making. Working closely with engineering, manufacturing and digital teams, you will apply analytics, statistical modelling and machine learning techniques to solve complex engineering challenges. The Data Scientist will: Analyse manufacturing, quality and product performance data to identify trends … improvement opportunities. Develop analytical models, dashboards and reporting tools. Apply statistical and machine learning techniques to support engineering decisions. Define data and reporting requirements with engineering and digital teams. Support simulation and modelling activities using real-world data. Present findings and recommendations to technical and non-technical stakeholders. ...

skills to some of the biggest healthcare problems of the day. We use a wide variety of techniques within the operational research, mathematical modelling, statistical analysis, data science and machine learning toolkits, often working at the interface of academic research and practical application. No problem … most importance is a good grasp of applied modelling approaches underpinned by degree-level qualification(s) in a quantitative discipline. Experience of coding in statistical languages, especially in 'R', is strongly desirable. The role-holder should have an open and inquisitive mind and be prepared to think innovatively ...

Description As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets. The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models … such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding of statistical analysis and probability theory. Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments. Track ...

experiments. Improve attribution and marketing measurement frameworks. Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions. Translate statistical analysis into clear commercial recommendations. Partner closely with marketing stakeholders to optimise spend and performance. Use AI tools to accelerate analysis, experimentation … insight generation. Your Skills & Experience Strong experience in marketing measurement, MMM, incrementality testing, or experimentation. Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design. Strong SQL skills with experience working in modern analytics environments. Experience with Python and tools such as Snowflake and dbt. ...