76 to 100 of 157 Statistical Analysis Jobs

findings, and converting tools, techniques, and processes into automated capabilities for the current cyber platform. Regular data science activities consist of operational research, statistical analysis, hypothesis testing, model building/testing, and communicating results using visualizations. Will also be responsible for collecting customer Cyber Operations requirements, generating … feeds to determine relevance and usability of data for customer(s). Support analytic requests (data query search, visualizations, dashboards, etc.). Leverage advanced statistical modeling to uncover hidden patterns and translate them into intuitive, customer-facing visualizations. Synthesize diverse data streams into coherent data products that help customers ...

findings, and converting tools, techniques, and processes into automated capabilities for the current cyber platform. Regular data science activities consist of operational research, statistical analysis, hypothesis testing, model building/testing, and communicating results using visualizations. Will also be responsible for collecting customer Cyber Operations requirements, generating … feeds to determine relevance and usability of data for customer(s). Support analytic requests (data query search, visualizations, dashboards, etc.). Leverage advanced statistical modeling to uncover hidden patterns and translate them into intuitive, customer-facing visualizations. Synthesize diverse data streams into coherent data products that help customers ...

resolution quality, customer effort, process adherence, consistency, fairness, durability of resolution and cost effectiveness. Identify the root causes of issues by combining machine learning, statistical methods and domain expertise from colleagues to understand what genuinely drives customer outcomes. Identify and test solutions Turn analytical insight into concrete proposals … help the team prioritise where to invest. Design and analyse experiments to determine whether proposed changes genuinely improve customer and business outcomes. Use statistical modelling and causal inference where controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should ...

dashboards, robust datasets and analytical products using advanced SQL and other appropriate tools. Develop demand, capacity, activity and productivity models, forward trajectories and scenario analysis to support credible recovery plans. Identify emerging operational risks, bottlenecks and unwarranted variation, translating findings into clear options for clinical and operational teams. Work … basis. This must first be agreed with your current line manager. Person Specification Qualifications Essential Masters degree-level education in a relevant analytical, mathematical, statistical, computing or information discipline, or equivalent substantial professional experience; evidence of continuing professional development. Desirable Further Postgraduate qualification or specialist certification in analytics, data ...

data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams.Key responsibilitiesSearch Evaluation & AnalyticsPerform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance.Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision, CTR).Analyze query …/B testing and experimentation frameworks for search and ranking improvements.Partner with product and data science to define success metrics and experiment strategies.Ensure statistical rigor in experiment design, analysis, and interpretation.Build reusable experimentation templates and scalable analysis workflows.Data Visualization & CommunicationOwn and evolve dashboards and reporting systems tracking ...

enthusiasm for data-driven decision making Preferred vibe-coding and AI assistant knowledge Experience with SQL, Tableau, and project management methodologies Knowledge of statistical analysis and reporting concepts Excellent communication and stakeholder management skills in an international environment Very good English language skills; German is considered a plus ...

PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysisProficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)Demonstrated ability to independently execute technical projects and contribute to cross ...

analytical skills with the ability to lead, mentor, and hire.Able to handle engineering tasks, on an as needed basis, combining experience in Characterization, Failure Analysis, Test Development, Statistical analysis and Customer Support.Mixed Signal background with experience in audio and power analysis.Ability to organize assignments and schedule time ...

will help redefine what it means. We are seeking a proactive individual with a strong understanding of Production Management, Risk Management, and Data Analysis, eager to apply their expertise within the complex and highly regulated environment of the banking sector. Your contributions will be instrumental in ensuring the resilience … vital systems. Responsibilities: Define, govern, and oversee the strategic reporting framework for monthly stability metrics across diverse business units, leveraging advanced data analysis and visualization to translate complex, multi-dimensional datasets into high-impact, executive-ready insights, and then presenting to senior leadership. Quantitative KPI & SLO modelling to architect ...

Description SummaryThe Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions, shape … description Summary: The Scientific AI Platform Lead will join the Disease Area X (DAx) Data Science team at Novartis to build enterprise-grade, AI analysis platforms and data products to accelerate drug discovery. This role will lead and partner on multidisciplinary project teams, operationalize generative and agentic AI solutions ...

value (LTV) models to support acquisition and retention strategies. Apply causal inference techniques to improve attribution and marketing measurement. Leverage AI tools to accelerate analysis, experimentation design, and insight generation while maintaining analytical rigour. Communicate findings and recommendations to both technical and non-technical audiences. Your Skills & Experience Strong … commercial experience in Marketing Measurement, Marketing Mix Modelling, incrementality testing, or causal inference. Deep understanding of experimentation methodologies, statistical analysis, and hypothesis testing. Experience working with paid media performance data and digital marketing platforms. Strong SQL skills and experience working with modern cloud data environments. Strong Python expertise ...

with APIs, enterprise systems, and data platforms• Ensure solutions are secure, reliable, and maintainable through appropriate testing, monitoring, controls, and documentation• Apply experimentation, quantitative analysis, and model evaluation to inform design decisions and demonstrate impactThe teamYou’ll join the IB AI Delivery Hub, with team members based in London … monitoring• Experience working with structured and unstructured data across databases, APIs, and other data environments• Strong analytical and problem-solving skills, including experience with statistical analysis and data exploration• Effective communication skills and the ability to collaborate with stakeholders across business and technology functions• A bachelor ...

development and optimization of ATE test programs Finalize datasheet specifications and production test limits Ensure robust test coverage and product quality Characterization, Yield & Data Analysis Develop characterization plans across process, voltage, and temperature (PVT) conditions Analyze ATE and bench data, including correlation studies and process capability analysis Perform … Design of Experiments), yield modeling, and test optimization Identify yield-loss drivers and implement corrective actions Quality & Failure Analysis Monitor manufacturing yield and quality metrics Support failure analysis, root-cause investigations, and CAPA activities Work with foundries and OSAT partners to resolve production issues Drive continuous improvement ...

evaluation plans. Explore, prepare, and validate structured and unstructured data, establishing appropriate quality checks, feature definitions, lineage, and documented limitations. Design, develop, and validate statistical and machine learning solutions for tasks such as classification, regression, clustering, forecasting, segmentation, and optimization. Design experiments and apply statistical analysis, including ...

pipelines- Bachelor's degree in sciences, engineering, finance or equivalentPreferred qualification - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in Statistical Analysis packages such as R, SAS and MatlabAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central ...

datasets and data processing technologies (e.g., Hadoop, Spark, SQL)Familiarity with anomaly detection, supervised and unsupervised learning methods, and real-time data analysisExperience 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 ...

machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. ...

optimise machine learning models. Analyse large datasets to identify trends and insights. Develop predictive models for customer behaviour, churn and lifetime value. Apply statistical analysis and experimentation techniques. Collaborate with engineers to deploy and monitor models in production. Requirements Degree in Computer Science, Statistics, Mathematics, Machine Learning … Python and SQL skills. 2-5 years commercial experience in Data Science, Analytics or Machine Learning is preferred. Solid understanding of machine learning and statistical modelling. Experience with PyTorch, TensorFlow or similar frameworks would be advantageous. Self-motivated, curious and eager to learn. You’ll work on real business ...

UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. … with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing ...

product specifications and quality standardsOwn finalization of datasheet specifications and ATE production test limits through data-driven, statistically validated limit-setting processes3. Characterization, Data Analysis & Yield Optimization 30%Develop and own product characterization plans for wafer-level and bench tests across product specifications and operating conditionsLead data analysis … variations, including ATE-to-bench correlation studies and process capability analysisDrive yield modeling activities and lead DOE planning and execution to support yield analysis, test time reduction, and test optimizationLead product validation and reliability qualification activities in collaboration with Test, Characterization, Validation, and Reliability Engineering teamsIdentify yield loss Pareto ...

policy and guidelines.Ability to plan the delivery of a technology-based service at operational and strategic levels.Desirable CriteriaTechnical experience with enterprise data warehouse solutions, statistical analysis tools, database systems, and data visualisation applications, such as Microsoft Fabric or equivalent.How to applyTo progress to the assessment stage, candidates must … issues, shape platform processes and user engagement activities, develop and optimise system configurations, and provide subject matter expertise and advice.Provide specialist advice on the analysis and interpretation of complex data and information relevant to your area, and making recommendations for service improvements based on your analysis.Use your professional knowledge ...

with a fantastic team of technology experts. Your primary focus will be designing, architecting, and deploying robust AI solutions and pipelines that enable advanced analysis and Generative AI capabilities, often in highly regulated environments. Either drawing on existing expertise, or with some development, you will be capable of advancing … frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive Salary Bonus Scheme Private Healthcare ...

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 ...

Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Organizational Awareness, Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis, Structured Query Language (SQL), Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

Languages: English (Required); Spanish or experience working across international teams (Preferred)Hard Skills: Strong knowledge of machine learning, natural language processing, generative AI, experimentation, statistical analysis and model evaluation (Required)Experience owning a digital, data or AI product through its full lifecycle, including product strategy, roadmap management, backlog ...