476 to 500 of 1,035 Statistics Jobs in England

/5G Advanced/6G development and 3GPP RAN1/RAN2 standardisation activities. Candidates should bring expert-level digital signal processing, linear algebra/statistics and algorithm development experience (synchronisation, channel estimation, equalisation/MIMO detection, decoding), strong C++/OO programming, link/system-level simulation experience, familiarity with ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

quantitative roles relating to investment strategy or asset allocation; backgrounds across buy-side, sell-side and advisory organisations will be considered* Excellent foundations in statistics and econometrics; experience analysing large data sets preferred* Proficiency in programming; Python required, with MATLAB a plus* Proficiency in AI toolkit; Claude code, Copilot ...

real pricing or promotional decision, not textbook familiarity: can describe, unprompted, how they handled confounding and selection bias on an actual dataset. Applied statistics/econometrics strong enough to defend a specific model choice (why OLS, why a GLM, why not a black-box model) rather than defaulting to whichever ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype ...

helpdesk and employee relations trends, support to cyclical activity including performance moderation, employee engagement survey etc. External – e.g. pay gap reporting, Office for National Statistics (ONS) surveys and Home Office reporting. Budget and Supplier Management Support the People Operations Manager and CPO with setting of People budgets and tracking ...

helpdesk and employee relations trends, support to cyclical activity including performance moderation, employee engagement survey etc. External – e.g. pay gap reporting, Office for National Statistics (ONS) surveys and Home Office reporting. Budget and Supplier Management Support the People Operations Manager and CPO with setting of People budgets and tracking ...

years' experience in quantitative research, quantitative trading or systematic strategy development. Strong Python programming skills and experience building research pipelines. Solid understanding of statistics, probability, time series analysis and machine learning techniques relevant to financial markets. Experience designing rigorous back testing and model validation frameworks. Experience working with large structured ...

least two of these skills: Strong analytical and problem-solving skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts of data ...

appropriate school within SAgE faculty, depending on the background and alignment of the candidate: either the School of Computing, or the School of Mathematics, Statistics & Physics (MSP), with a flexible start date to be agreed. You will be expected to carry out excellent research and teaching in an area ...

role, we are looking for candidates to have the following skills and experience: Essential criteria Master's degree (already awarded) in Data Science, Epidemiology, Statistics, Computer Science, Health Informatics, or another relevant quantitative discipline Demonstrated experience conducting quantitative or statistical analysis of health-related data, including data management, cleaning ...

general framing could replace both separate models is an open research question. The requirements Essential: Statistical foundations. You have a background in probability and statistics from a quantitative field. You reason about uncertainty and calibration as first‐order concerns. Production ML. You have built and shipped supervised ML models ...

language that we use here! Strong willingness to fight for good outcomesBias towards progress over perfectionBSc in Computer Science, Maths or Statistics or related discipline Bonus skills & attributes Previous experience in data analytics, or statistical role#LI-HybridUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas ...

data modeling, pipelines, validation, lineage, error handling). Familiarity with distributed systems and event-driven architecture (e.g., Kafka, asynchronous processing). Bachelor's in Statistics, Computer Science or other similar advanced degrees from a top tier educational institution preferredCFA, CPA, CIPM, CAIA, and/or FRM preferred, but not requiredProblem ...

external collaborations, or contributions to industry working groups in statistical innovation or quantitative methods. Education/Certifications (essential): MS/MSc or PhD in statistics, mathematics or another relevant quantitative discipline. Language(s) (essential): Fluent in English, with eWe are committed to creating a workplace where everyone feels heard, valued ...

findings and strategic recommendations to senior stakeholders and cross‐functional partners. Basic Qualifications Advanced degree (Master's or PhD) in a quantitative discipline — Mathematics, Statistics, Physics, Computer Science, Financial Engineering, or a related field. 5+ years of experience in quantitative research related to execution/trading algorithms at a sell ...

work-related duties as assigned. Minimal travel may be required. QUALIFICATION REQUIREMENTSPrevious Rshiny experience is required for this role.-PhD or MS in biostatistics, statistics, mathematics or data scientist with a strong emphasis on computing/informatics.-At least two years of experience as statistician with significant time spent ...

solving skills Candidates should have at least three of the following skills: Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications over large amounts ...

external collaborations, or contributions to industry working groups in statistical innovation or quantitative methods. Education/Certifications (essential):• MS/MSc or PhD in statistics, mathematics or another relevant quantitative discipline.Language(s) (essential):• Fluent in English, with eWe are committed to creating a workplace where everyone feels heard, valued ...

/MSc or Doctoral degree in a relevant discipline such as: health services research, health outcomes research, epidemiology, pharmacy administration, public health, economics, statistics or decision sciences Deep working knowledge of clinical drug development, including the governance, safety and regulatory frameworks that apply across phases Demonstrated experience translating clinical ...

field, such as data mining, natural language programming, and machine learning. Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical … command data challenges. Coordinate with Data Engineers to build Data environments providing data identified by other data professionals Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities. Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining ...

frameworks LLM orchestration Hands-on experience with frameworks such as: LangChain LlamaIndex CrewAI AutoGen Google ADK Similar AI frameworks Bachelor's degree in Mathematics, Statistics, Computer Science or another quantitative discipline. Master's degree in Data Science, Statistics, Epidemiology or a related field. About You Thrives on solving complex business ...

marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation. Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data. Collaborate closely with Managers to understand the project scope, structure, analytical approaches, manage operations and ensure timely delivery. Build … Technical Skills Strong 3–4 years’ experience in marketing effectiveness/MMM and analytics/data science. Bachelor’s or master’s degree in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Marketing Analytics, or related field. Strong proficiency in Python, R, SQL, or similar tools. Experience with Databricks, Azure ...

engineers, and product teams. Help elevate the team’s understanding of retrieval performance and measurement frameworks. Requirements: Master’s or PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Significant experience in data analysis, business intelligence, or analytics roles Proficiency in SQL and Python … e.g., NDCG, recall, precision, ranking metrics) Proven ability to translate complex data into actionable insights and influence decisions Preferred qualifications PhD in Data Analytics, Statistics, Computer Science, or a related field (or equivalent practical experience) Experience working on search, ranking, or recommendation systems Familiarity with information retrieval concepts (e.g., indexing ...