126 to 150 of 698 Statistics Jobs in London

business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in search/ranking, Reinforcement Learning or Meta Learning Experience ...

metrics is done effectively & efficiently. Qualifications & Experience: 4+ years of work experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R/Python). 5+ years of experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting. Advanced ...

internship experience or early in your professional career. What you need to succeed: A degree in economics or a similar analytical field (e.g., econometrics, statistics, mathematics, or other quantitative degrees such as engineering, data science, etc.). Prior experience (academic or professional) in data analysis/modelling/advanced analytics ...

similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. ...

similar. Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and data warehousing solutions. Strong knowledge in at least a few of the following areas: statistics, machine learning, linear algebra, optimisation. A strong product mindset with the ability to operate autonomously while working in a cross-functional and cross-team environment. ...

scientists across the business. Present findings clearly to both technical and non-technical stakeholders. About You You will have: A degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field. Experience analysing complex longitudinal datasets. Strong statistical modelling and analytical skills. Proficiency in Python ...

observations, and arguments in order to form a judgment by the application of rational, skeptical, and unbiased analyses and evaluation. Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. Nice to Haves: Advanced programming background with the ability to build simulations and prototype ...

support growth and market share. Managerrisk in existing portfolios. Required qualifications,capabilitiesand skills Enrolledin a PhD program in a relevant field (e.g., mathematics, statistics, physics, engineering, computer science, data science, or machine learning). Graduatingbetween September 2026 and March 2028. Demonstratescomputer programming experience (e.g., Python, C++, or another programming language ...

couple years experience with building production-grade models essential (MLOps).**Technical requirements*** Advanced graduate qualification (PhD or postdoctorate) in Machine Learning, Data Science, Statistics or Maths.* Strong Python coding experience/knowledge essential. Knowledge of git and CI/CD practices. Demonstrable proficiency with packages such as Pandas, Sklearn ...

candidate's experience. Required qualifications, capabilities, and skillsMasters or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Specialism or well-researched interest in NLPBroad knowledge of MLOps tooling ...

seek out new opportunities to learn and develop. KEY REQUIREMENTS: Degree in a quantitative or technical field such as computer science, engineering, mathematics, physics, statistics or data science Experience of successfully leading complex software or AI projects from design to deployment Experience working within the Defence sector, or in closely ...

onboarding materials accessible to non-technical colleagues and clients Skills and Qualifications Bachelor's degree (Master's preferred) in Computer Science, Applied Mathematics, Engineering, Statistics, Physics, or a related quantitative discipline First-Class or Upper Second-Class Honours (2:1 or above) from a UK or internationally recognised university ...

specialists, and data scientists across the business. Present findings clearly to both technical and non-technical stakeholders. About You A degree in Actuarial Science, Statistics, Mathematics, Data Science, Biostatistics, Epidemiology, or a related quantitative field. Experience analysing complex longitudinal datasets. Strong statistical modelling and analytical skills. Proficiency in Python ...

from a recognised actuarial professional body. Excellent academic qualifications including a minimum of a bachelor’s degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master’s or PhD) would be a plus. Locations Level 6, London, United Kingdom, EC2N ...

technical teams and senior stakeholders who aren't.Bonus points forAn advanced degree (Master's or PhD) in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering.Experience in BNPL, credit cards, or other transaction-heavy payment products.You've mentored junior validators or led validation reviews.Exposure ...

business audiences. Curious, hardworking and detail‐oriented, and motivated by complex analytical problems Preferred qualifications, capabilities , and skills Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test development Knowledge in graph integration with LLM, Reinforcement Learning or Meta Learning ...

from a recognised actuarial professional body. Excellent academic qualifications including a minimum of a bachelor's degree in mathematics, actuarial science, other scientific discipline (statistics, physics, natural science), economics or finance. An advanced degree (master's or PhD) would be a plus. #J-18808-Ljbffr ...

consistency and quality before release into business-critical decks and workbooks. Requirements Bachelor’s or Master’s degree in Computer Science, Data Engineering, Mathematics, Statistics, Econometrics, or a related quantitative discipline. Minimum 3 years of experience in a data engineering, analytics engineering, or BI development role. Strong hands-on experience ...

technical and business audiences. Curious, hardworking and detail-oriented, and motivated by complex analytical problemsPreferred qualifications, capabilities , and skills: Strong background in Mathematics and Statistics and familiarity with the financial services industries and continuous integration models and unit test developmentKnowledge in graph integration with LLM, Reinforcement Learning or Meta LearningExperience ...

skills and knowledge to adopt and adapt AI innovations effectively. Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant ...

Share Senior Product Finance Analyst, Search+ corporate_fare Google place London, UK Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience. 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree. Experience executing ...

early in your professional career. What you need to succeed: A degree in Data Science, Economics or a similar analytical field (e.g. econometrics, statistics, mathematics, or other quantitative degrees like Engineering, Data Science, etc.) Prior experience (academic or professional) in data analysis/modelling/advanced analytics or ML. Experience ...

performance and cost. You will translate research and modeling insights into scalable, production‐ready systems. Who You Are MS or PhD in Computer Science, Statistics, Applied Mathematics, Machine Learning, or related quantitative field 8+ years (or equivalent experience) applying statistical modeling or machine learning to large-scale datasets Strong proficiency ...

post qualifying and continuing professional development Demonstrable knowledge in relevant analytical fields, their associated methods, and their potential for application within healthcare, including advanced statistics, epidemiology, data science, econometrics, and operational research Expert knowledge of the role of analysis in improving decision quality and be capable of supporting advanced decision ...

team, provide constructive feedback, and support professional development Motivate members of the Data Enrichment Team Degree qualified in a relevant field (preferably mathematics, statistics, data science, actuarial science, physics, economics, or a related field) Actuarial or CII qualification would be an advantage A minimum of 5 years in pricing, data ...