176 to 200 of 477 Statistics Jobs in the UK

bring that analytical approach into a new environment. You'll need a strong academic background in a highly quantitative subject such as Mathematics, Statistics, Economics, Finance, Engineering or similar, alongside strong quantitative modelling and data analysis experience. Why apply? This is an opportunity to take the techniques and analytical thinking ...

bring that analytical approach into a new environment. You'll need a strong academic background in a highly quantitative subject such as Mathematics, Statistics, Economics, Finance, Engineering or similar, alongside strong quantitative modelling and data analysis experience. Why apply... This is an opportunity to take the techniques and analytical thinking ...

e.g., accelerating cohort identification, code list development, or evidence synthesis Ensure all activities meet scientific, governance, privacy and compliance standards. REQUIREMENTS Degree in epidemiology, statistics, mathematics, biostatistics, computer science, life sciences or a related discipline. Strong experience in Real World Evidence, epidemiology and healthcare evidence generation, gained across a range ...

present complex technical insights to non-technical senior stakeholders with clarity and business context. Education: A degree in a relevant field such as Mathematics, Statistics, Engineering, or Computer Science. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into ...

platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW’s processing activities and our use of job applicants’ data, please view our Privacy ...

Want to accelerate the future of AI-led life sciences innovation? So do we. At BioXcelerate AI, we combine specialist health data science, advanced statistics, machine learning, bioinformatics and software engineering to help life sciences organisations solve complex research and development challenges and generate actionable insight at speed. Through platforms ...

risk and conduct standards. What we’ll need from you Demonstrated software engineering ability in C++ and Python with practical experience. Knowledge of statistics, probability theory, and their application to the evaluation and risk assessment of complex financial instruments. Ability to design and implement numerical schemes and solve analytical equations ...

tools and technologies Your skills and experience that will help you excel: Pursuing a Bachelor's Degree in Finance, Economics, Statistics, Computer Science or equivalent English verbal and written (additional language skills a plus) Microsoft Office Knowledge of SQL, Python, AI tools or other programming languages is preferred About MSCI ...

problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte ...

Help building a culture of responsible AI, good governance, and ethics Qualifications & Skills MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science. Industry experience with developing machine learning models and creating software pipelines ...

knowledge of Amazon Web Services (EC2, S3, Athena, etc.) Interest in back-end technologies, architecture, and passion for learning new things Interest in math, statistics, or adtech technology is a plus Analytical approach to problems and pragmatic approach to solutionsAbility to work independently and enterprisingly in a dynamic environment where ...

problems, analyse curve, risk and volatility behaviour, and identify opportunities Required qualifications, capabilities, and skills Advanced degree (MSc or PhD) in mathematics, physics, engineering, statistics or a closely related quantitative discipline, with demonstrable strength in advanced mathematics Strong command of stochastic calculus, probability theory, numerical analysis and PDE/Monte ...

members, with optional management responsibilities Required Qualifications, Capabilities, and Skills: Experience in machine learning engineering roles Degree in a quantitative discipline (Computer Science, Mathematics, Statistics) Proven ability to develop and deploy business-critical, data-intensive applications Extensive experience with AWS and Kubernetes Proficiency with lower-level libraries such as PyTorch ...

clarity for the team. Qualifications 10+ years of professional experience in Credit modeling, statistical analysis, validation, or equivalent. Advanced degree in Economics, Finance, Math, Statistics or equivalent Experience managing global quantitative teams, with a track record of motivating people, developing talent and leveraging diverse skillsets. Experience with Artificial Intelligence models ...

container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale. You 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 ...

container and orchestration tools such as Docker & Kubernetes to build and manage applications at scale You 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 ...

decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. link Copy link Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience. 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases ...

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). ...

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 ...

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 ...

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 ...

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 ...

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 ...