326 to 350 of 407 Permanent Statistical Analysis Jobs

work in an autonomous way and engage with relevant stakeholders to execute activities related to study level centralized monitoring process.Ability to understand basic statistical analysis concepts and to interpret their outcome.Ability to maintain confidentiality of data and information during interactions with staff at all levels Ability to work ...

engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking ...

engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. We are seeking ...

making independent decisions, while also being able to collaborate effectively within a team Knowledgeable or interested in cyber-security and malware forensics Experienced in statistical analysis of static or dynamic systems Familiar with Docker and containerisation Knowledgeable about cloud computing environments (beneficial but not essential) Experienced with ...

meet the needs of our AI strategy• Develop machine learning applications in alignment with project requirements and business goals• Perform machine learning tests and statistical analysis to fine-tune the machine learning systems• Select appropriate datasets and data representation methods• Extend existing machine learning libraries and frameworks• Train ...

Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time ...

support of business needs and team development. • Design, develop, implement, support, and administer validated and unvalidated systems that produce custom tables and graphs including statistical analyses, and systems that promote business intelligence across the organization. • Research, review, and advise on new technology that may be used within the department. ...

team and shape the future of sports betting! We're seeking a highly motivated and innovative Quantitative Analyst to develop and maintain cutting-edge statistical models. You'll play a crucial role in enhancing our market offerings and driving our success in the dynamic world of sports betting. This … derivatives. A taster of what you will be involved with Core Sports Betting Models Develop and refine models for predicting match outcomes, incorporating advanced statistical methods, machine learning algorithms, and AI techniques. Player Statistics Models Build and maintain sophisticated models that analyses player performance and predict individual contributions, opening ...

measurement goals aligned with global marketing objectives. Drive AI transformation to enhance productivity, analytical creativity, and innovation, while upholding Google's AI Principles.Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable results. Act as a domain expert to review statistical analyses, methodologies.Partner with cross-functional … leadership (including Media CoE, Finance, Product Areas) to guide marketing budget allocation, answer complex statistical questions, and ensure decision-making is aligned with objectives.Manage and coach a high-performing team of Business Data Scientists and Analysts. Advocate knowledge sharing, collaboration, and solution reuse across Google’s broader marketing analytics ...

goals aligned with global marketing objectives. Drive AI transformation to enhance productivity, analytical creativity, and innovation, while upholding Google's AI Principles. Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable results. Act as a domain expert to review statistical analyses, methodologies. Partner with cross … functional leadership (including Media CoE, Finance, Product Areas) to guide marketing budget allocation, answer complex statistical questions, and ensure decision-making is aligned with objectives. Manage and coach a high-performing team of Business Data Scientists and Analysts. Advocate knowledge sharing, collaboration, and solution reuse across Google's broader ...

shape, the analyses you run, and the submissions you help bring to life. This is your seat at the table As a Principal Statistical Programmer here at BMS, you won't be buried in a back-office function. You'll be central to how clinical data gets shaped, interpreted … data flows from collection to submission. Here’s What You’ll Own Lead end‐to‐end programming delivery – from ADaM specifications and analysis datasets through to TFLs and e‐submission components. Your work sets the standard others follow. Drive quality and robustness – independently developing, validating, and troubleshooting complex ...

BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll … hardware and core consumer services. In this pivotal role, you will lead and deliver advanced measurement, implement analytical models, develop key metrics, and build statistical frameworks to measure marketing incrementality, media effectiveness, and overall business impact. You will act as a key strategic partner to EMEA Marketing Leadership, Finance ...

BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll … hardware and core consumer services. In this pivotal role, you will lead and deliver advanced measurement, implement analytical models, develop key metrics, and build statistical frameworks to measure marketing incrementality, media effectiveness, and overall business impact. You will act as a key strategic partner to EMEA Marketing Leadership, Finance ...

equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data … manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand ...

support of near-limitless compute and world-class peers.Take the next step in your career.The roleOur researchers use the latest scientific techniques and advanced statistical analysis methods to predict movement in global financial markets.This requires them to harness massive compute power and use state ...

related discipline.Fluent written and spoken English.Advanced proficiency in Microsoft Office, particularly Excel.An understanding of financial instruments and financial markets.Knowledge and practical understanding of statistical analysis and data interpretation.The ability to work collaboratively and effectively with senior stakeholders and clients.Strong communication, organisational and interpersonal skills.A high level of accuracy ...

working autonomously, making sound technical decisions, while collaborating effectively within a team;* Knowledgeable or deeply interested in cyber‐security and malware forensics;* Experienced in statistical analysis of static or dynamic systems;* Proficient with Docker,* Familiar with cloud computing environments.**Benefits:*** 23 days’ holiday + all public holidays, rising ...

root cause analysis. Lead projects that eliminate waste through all areas of Operations. Analyse processes using established continuous improvement techniques to optimise performance statistical analysis, 5s, OEE, waste elimination. Implement suitable continuous improvement processes to hit KPI's. Experience, Skills and Qualifications required: Experience Demonstrated leadership and vision ...

experience leading design projects and managing people or teams. Experience with qualitative and quantitative research methodologies (e.g., ethnographic field studies, lab studies, survey design, statistical analysis, usability testing, and foundational/generative research). Preferred qualifications: Master's degree or PhD in Human-Computer Interaction, Cognitive Science, Statistics ...

mitigate confounds.Expertise in red-teaming, adversarial testing, jailbreaking, indirect prompt injection, and assessing the robustness of model safeguards.Strong foundational skills in experimental design, statistical analysis, and uncertainty quantification, including Bayesian methods.Deep knowledge of language models, generative AI architectures, training methodologies, and safety mitigation techniques.Solid Python proficiency combined with ...

understanding of patient-related activity data. Data must be accurately and consistently recorded to well-defined standards to enable it to be used for statistical analysis, both locally and nationally. About us If you are being interviewed you must accept an interview slot in the system to continue ...

high-end GPUs. We don’t believe in“one-size-fits-all” modelling solutions; we areopen to and excited about applying all differenttypes of statistical and ML techniques, fromlinear models to deep learning, depending on whatbest fits a given problem. About you If you’ve never thought about ...

either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You’ll play a key role by...Leading hands … ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is requiredPerforming statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusionsImproving our Model Risk Framework, including ...

either model validation or model development within a financial services environment, including practical experience using Python to develop, validate or analyse machine learning and statistical models. . In-depth knowledge of credit decisioning models would be a strong plus. ð You’ll play a key role by...Leading hands … ensure our lending models perform within our risk thresholds, and providing support to our first line of defence teams when action is requiredPerforming statistical analyses to independently assess model performance, including developing challenger models where appropriate to test model assumptions and strengthen validation conclusionsImproving our Model Risk Framework, including ...

Contribute to 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 evaluationGenerative AI & Applied ResearchApply and adapt state-of-the-art techniques … frameworks (e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data/ML platformsStrong understanding of experimentation design and statistical analysisPreferred qualificationsPhD in Computer Science, Data Science, Machine Learning, or a related fieldExperience working with large-scale datasets (scientific, biomedical, or enterprise data)Familiarity ...