151 to 175 of 407 Permanent Statistical Analysis Jobs

SummaryThe RWE Analyst is a key member of cross-functional teams and RWE-CoE within GBDS. This role will perform the curation, transformation, and analysis of complex healthcare datasets to inform evidence generation, support developing clinical program design, clinical trial execution, and other data-driven decision-making activities. … perform data summary analytics to support real-world evidence (RWE) generation.* Participate in the design of RWE studies, including the development of methodologies, data analysis, interpretation, and reporting of study results.* Author or review study documents such as protocols, statistical analysis plans, study reports, publications, and study ...

Experience of Arm CPUs , System IP and debug tools Experience of AMBA protocols Understanding of ML applications and their workloads Experience in Characterization, Failure Analysis, Test Development, Statistical analysis, and Customer Support Benefits and Inclusion In addition to a competitive salary, Graphcore offers flexible working, a generous … confidential diversity data from all applicants. This data will be anonymised so that no personal identification information will be collected, and is retained for statistical purposes only and is not attached to your application. Your responses to the following questions will remain confidential and will not impact ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale ...

related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools ...

recommendations. Contribute to the development of best practices for data science and advanced analytics within the organisation. Your Skills & Experience Strong experience applying statistical analysis and machine learning techniques to real-world business challenges. Advanced programming capability in Python and experience working with data science libraries. Strong ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

impactful manner to drive data-driven decision making. Deliver deep-dive customer insight and recommendations that explain customer performance and behavioural trends.Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means … Loosely Held: Be vocal and maintain your point of view while remaining open to new ideas, challenge and opposing perspectives.Who you are:Proficiency in statistical analysis, customer analytics and data visualisation tools. Experience working with large customer, marketing, loyalty or digital datasets. (3+ years)Proven experience writing code ...

decision-making across the London Market. You’ll operate across a wide variety of business functions, managing multiple priorities and delivering both ad hoc analysis and predictive/prescriptive models. Your work will contribute directly to building Hiscox’s data culture and enabling evidence-based decisions in a fast … solve business problems and deliver valuable insights. Experience of data science in finance or insurance is advantageous but not required. Experience conducting data analysis, experimentation, and model development to address business challenges. Comfortable using generative AI technologies, including AI-assisted coding tools, to accelerate research, development, and problem-solving ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative … data sources. Communication: Communicate and present effectively, turning complex analysis into clearly articulated insights. Problem Solving: Proactively problem-solve, identifying and mitigating any risks, issues, or control weaknesses in your day-to-day work. Experimentation: Actively experiment with various frameworks for model optimization What we’re looking ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 09/09/2026 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 ...

will spearhead the development of advanced probabilistic models that power real-time betting markets. Full-time Closes 10/06/2026 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 ...

user engagement patterns, with a proven track record of optimizing funnel conversion, retention cohorts, and Customer Lifetime Value (LTV). Strong foundation in statistical analysis and experimental design (A/B and multivariate testing), with the ability to define rigorous testing frameworks to validate product and programming improvements. … with the ability to present complex data to executive leadership in a clear, compelling, and concise manner using Keynote. Preferred Qualifications Advanced proficiency in statistical programming languages (e.g., Python, R) for deep-dive behavioural analysis and predictive modelling. 5+ years operating in an international or regional capacity, successfully ...

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 ...

Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market … with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives. Advanced Statistical Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers. Tool & Capability Development ...

Market (GTM) Analytics team. This is a high-impact, individual contributor role designed for a seasoned expert who can bridge the gap between complex statistical modeling and strategic GTM execution in a B2B SaaS environment. Your mission is to help us answer critical questions about our go-to-market … with product and commercial leadership to evaluate pricing and packaging strategies, analyzing discount behaviors and tracking the financial performance of new monetization initiatives. Advanced Statistical Analysis: Design and execute complex analyses, including cohort analysis, customer segmentation (clustering), and predictive modeling to identify growth levers. Tool & Capability Development ...

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

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while ...

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 ...

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 ...

data into actionable insights and strategic recommendations. Collaborate with cross-functional teams including consultants, engineers, and client stakeholders. Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs. Lead business development through proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists ...

computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with … funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python, R, or equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis ...

grade AI/ML applications and tools are built, maintained, and optimized Establish best practices for monitoring, evaluating, and improving solution performance Guide the analysis of large and complex datasets to identify trends and opportunities for automation Engage with subject matter experts and senior stakeholders to gather requirements …/ML, including leading teams and projects from conception to production Strong foundation in AI/ML concepts and practical experience with data analysis, feature engineering, and model development Experience working with large, complex datasets and applying statistical analysis Hands‐on experience training, deploying, and maintaining machine ...