1 to 25 of 51 Statistical Analysis Jobs

stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity … reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions ...

excellent opportunity for a recent graduate or early-career professional to gain hands-on experience working with scientific data, analytical techniques, and advanced data analysis methods within a collaborative laboratory environment. The successful candidate will support the processing, cleaning, exploration, and analysis of scientific data generated primarily from … Liquid Chromatography (LC) and Gas Chromatography (GC) techniques. Using tools such as Python and Excel, you will help develop efficient workflows, perform data analysis, and contribute to solving complex data challenges. Key Responsibilities Process, clean, validate, and quality-check scientific datasets to ensure reliable analysis. Perform exploratory data analysis ...

Master's degree in Engineering (any domain), Operations, Business Administration, or a related field- Knowledge of concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, electronic system design, and decision making- Experience working with the designs of complex automated material, handling equipment ...

Power BI and Microsoft Fabric.Key ResponsibilitiesAnalyze large and complex datasets to identify trends, drivers, anomalies and opportunities.Use Python and SQL for data manipulation, advanced analysis, automation and analytical modelling.Design and develop intuitive dashboards and reporting solutions using Power BI.Work within Microsoft Fabric to access, transform, analyse and deliver data … insight.Partner with stakeholders to translate business challenges into meaningful analytical questions, metrics and KPIs.Conduct deep-dive and root-cause analysis to understand what is happening, why it is happening and where action should be taken.Develop repeatable and scalable analytical solutions rather than relying on manual analysis.Communicate complex findings through ...

consultancy in this Data Analyst role, working at pace on complex commercial and government programmes. This is a visible Data Analytical role where your analysis will directly inform senior decision-makers and influence strategic outcomes across a diverse portfolio of projects. If you are a data-driven professional … actionable insights that support senior management in planning, performance tracking, and strategic decision-making. Working remotely, informing the senior team, you will provide robust analysis and reporting across multiple programmes, ensuring information is presented in a way that drives effective commercial and operational decisions. Key Responsibilities: Analyse large ...

genomics. This is an exciting opportunity to work within a multidisciplinary environment, tackling complex biological data challenges and contributing to the development of advanced statistical and computational approaches that support scientific discovery and innovation. Key Responsibilities Lead statistical and bioinformatics analysis projects, delivering meaningful insights from complex … biological datasets. Develop and enhance statistical methodologies and computational algorithms. Apply machine learning and artificial intelligence techniques to research and product development initiatives. Collaborate closely with laboratory scientists to support experimental design, data analysis, and interpretation. Analyse, process, and interpret Next Generation Sequencing (NGS) and other high-throughput ...

evaluation projects from hypothesis through to recommendation. Assessing the commercial value, quality, and scalability of new datasets. Developing robust methodologies for data validation, statistical analysis, and research quality standards. Working closely with data acquisition and commercial teams to assess potential data investments. Applying techniques such as time series … analysis, correlation analysis, hypothesis testing, and feature engineering. Identifying new opportunities to create valuable data products and customer insights. Managing and developing members of the Data Research team while raising technical standards across the function. Driving the use of AI and advanced analytical techniques to improve research efficiency ...

skills. Your work will support technology that enables critical work across the company and helps improve healthcare outcomes. Skills AI Platforms, Change Management, Data Analysis, Feature Prioritization, Machine Learning Model Management, ML Platforms, Model Evaluation, Performance Analysis, Product Delivery, Product Design, Product Lifecycle Management (PLM), Product Roadmapping, Roadmap … Development, Statistical Analysis, User Needs Analysis Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health ...

global digital revolution. We are CNN.ᅠYour New Role...We are looking for the Data Analyst who will play a key role in delivering high-quality analysis, reporting and insight across the Audiences & Data function. Working closely with the Advanced Analytics Lead, this role supports the development and delivery of statistical analysis, analytical models and insight outputs that inform commercial decision-making.Your Role Accountabilities...Own the delivery of day‐to‐day analysis and insight, translating business questions into structured analytical outputs.Analyse large, multi‐source datasets to identify trends, patterns and performance drivers.Support the execution of advanced analytical models (e.g. ...

broader Enterprise AI portfolio. Make trade-off recommendations. When two business sponsors both want an FDE pod, defines the success metrics, run the analysis and recommend where engineers go. Protect engineering focus. Push back - with evidence - on opportunities that won't move scalable outcomes. Engineering Partnership & Enablement … like in each domain. Investment Prioritization: Makes trade-off recommendations at the domain level. When two sponsors both want an FDE pod, runs the analysis and recommends where engineers go - with evidence. Opportunity Portfolio Management: Shapes the domain-level portfolio. Maintains a living view with rationale for each decision. ...

program places you in analytical roles where you'll contribute from day one across key functions such as data engineering, product analytics, quantitative analysis, operations tracking, and metrics reporting. You’ll gain exposure to fast-growing startups, fintech environments, consulting firms, and global companies where 80% of business leaders … Data Visualisation & Dashboards: Design and maintain interactive dashboards using tools like Tableau, Power BI, or Looker Studio to track Key Performance Indicators (KPIs). Statistical Analysis & Scripting: Write basic SQL queries or utilize Python/R to manipulate datasets, perform exploratory data analysis, and uncover trends. Business ...

important as your technical skills. You'll help ensure key risk indicators (KRIs) are meaningful, data is reliable, thresholds are appropriately informed by analysis, and reporting supports better risk oversight and decision-making. You'll also help modernise how risk reporting is produced, using AI models and workflow automation … business partnering skills, with the ability to work closely with risk owners and non-technical stakeholders, understand their needs and translate them into meaningful analysis, reporting and monitoring solutions. Working knowledge of SQL and Python for data analysis and practical automation. You don't need ...

datasets and translating business challenges into analytical solutions. Excellent communication skills with the ability to explain technical concepts to non-technical audiences. Experience applying statistical techniques, exploratory data analysis and predictive modelling. A proactive, solution-focused mindset with a strong sense of ownership and accountability. Experience with … stakeholders to understand requirements and deliver data-driven solutions. Developing and enhancing dashboards, reports and data models using SQL Server and Power BI. Performing statistical analysis and identifying trends, opportunities and actionable insights. Supporting the ongoing development of our data strategy and reporting framework. Contributing to system upgrades ...

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. ...

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 ...

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 ...

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 ...

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 ...

still made manually by Axiom staff. The roleAxiom is looking for a Data Scientist, Manager to define and build innovative AI, machine learning, and statistical solutions that optimize our bespoke legal talent matchmaking platform. Working in a fast-paced environment where most matches are currently done manually, you will … outcomes—challenging the status quo to improve Client, Talent, and internal user experiences. Specifically, This Role Will Design & Build: Develop advanced AI, ML, and statistical solutions that capture business/customer insights and drive core operational outcomes. Collaborate & Guide: Partner cross-functionally with engineers and product managers while providing ...

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. ...

organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses Measure … budget planning decisions Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations Champion robust experimentation standards and causal measurement methodologies across the business Leverage AI tools to accelerate analysis, experimentation ...

develop and embed a dedicated Claims Analytics capability. This is an opportunity to apply your technical expertise to real-world insurance challenges, using data, statistical analysis and machine learning to improve claims performance, operational efficiency and business decision-making. Working closely with senior Claims stakeholders and wider Data … position where you will have the opportunity to shape how data science is used across the claims function. The Role Develop and deliver statistical and machine learning models to address key business challenges within Claims. Analyse complex datasets, identifying trends, patterns and opportunities to improve claims performance and outcomes. ...

COMSOL, Ansys, or other similar scientific computing language Creating/developing models to support obtained process results, e.g. current distribution maps Working knowledge of statistical analysis and problem-solving methodologies Experience with statistical tools (JMP, Minitab, etc.) as well as knowledge of material analysis techniques Ability … analytical techniques Background in electrochemistry, in particular electrochemical metal deposition Safe work with chemicals Knowledge of Material synthesis and material characterization Understanding of Statistical Process Control (SPC) and/or Design of Experiments (DOE) Experience working in a collaborative and matrixed environment with diverse teams, semiconductor customers, and/ ...

model types, and know when and why to use gradient boosting, neural networks, regression, autoencoders, clustering or a blend of these Experience with statistical analysis and good presentation skills to drive insight into action; A strong product mindset with the ability to work independently in a cross-functional ...

timely and accurate completion. Work within the Leakage Data Team as we develop a new system and methodology for leakage management and reporting. Provide analysis of Zonal and DMA nightline data to explain movements and trend analysis. Identify errors, trends, and unusual activity through data analysis. Receive, interpret, input … impact of supply interruptions. What you'll need Skills/Qualifications/Experience: Educated to a degree level, including some level of statistical analysis experience (e.g., an undergraduate module in statistics). A strong understanding of statistical analytics. Proficiency in data manipulation tools. An understanding ...