426 to 450 of 975 Statistics Jobs in England

with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scaleYou are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast ...

monitoring, issue identification and remediation tracking. The knowledge, experience and qualifications you need Apostgraduate qualification (Master’s or equivalent)in aquantitative discipline(e.g., mathematics, statistics, physics, engineering, computer science, econometrics or similar). Substantial relevant experiencein investment, quantitative modelling or risk management, ideally withinasset management/the buy side ...

instinct for spotting automation opportunities. Previous experience in a database-centric, web-enabled environment. Ability to perform database tuning working with SQL queries, indexes, statistics, database views. Understanding of database replication. Understanding of web services and extension kit flows. Experience of Java based application and Java containers (JBOSS, Wildfly). ...

analytics, data, AI, digital technology and solutions landscape A degree,Mastersor PhD from a leading university in data science, mathematics, operational research, physics, or statistics Desireable Experience in thesoftware orproduct development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout,implementationand managed ...

with a track record of leading teams, complex projects and non-trivial systems end to end. Master’s or PhD degree in mathematics, physics, statistics, econometrics, computer science, engineering, or related quantitative field. A strong interest in the quantification of CCR, XVA and the HPC methods that support them, together ...

into production and improve them using live performance and markout analysis Required Qualifications, Capabilities, and Skills Advanced degree or equivalent practical experience in mathematics, statistics, physics, computer science, engineering, financial engineering, or a related quantitative discipline. Relevant full-time quantitative research experience in high-frequency/medium-frequency trading, electronic ...

latest advancements in AI techniques and tools to ensure the application of state-of-the-art solutions. Qualifications Post-graduate degree in Computer Science, Statistics, Machine Learning or Data Science. Experienced required Solid foundation of Digital and Web methodology implementation. Understanding of MLOps principles and practices. Significant Java programming skills ...

balance sheet management for discussion with senior managers, committees, and key stakeholders. Qualifications Excellent academic background in a quantitative field such as mathematics, physics, statistics, economics, engineering, or computer science, with a preference for Masters and PhDs. Strong programming skills in an object-oriented or functional paradigm such as Python ...

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 ...

research findings and strategic recommendations to senior stakeholders and cross-functional partners. Basic QualificationsAdvanced 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-side ...

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 ...

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 ...

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 ...

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 ...