226 to 250 of 1,012 Statistics Jobs in England

advertiser (agency or client side). - Experience with advertising publishers and marketing/creative agencies. - MBA, Master's or Doctoral degree in Economics, Marketing, Statistics, Advertising, or Business/Digital media planning experience. - Experience in ad measurement, predictive analytics, experimental design, A/B testing. - Experience and familiarity with AWS More ❯

to think and operate at all levels (both strategically and tactically) - A Bachelors Degree in a quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) - Knowledge of SQL is mandatory - Expert in SQL/Redshift is preferred - Ability to progress autonomously in ambiguous environment Amazon is an equal More ❯

NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time More ❯

continuous improvements in stakeholder satisfaction with our outputs. What you'll bring: Bachelor's or Master's degree in Actuarial Science, Computer Science, Mathematics, Statistics, or a related field. Relevant experience in P&C insurance reserving, with a strong focus on data management and system development. Strong programming skill in More ❯

or third-party providers. Create data extracts and perform detailed pattern analysis to estimate impacts. What we're looking for: University degree in Mathematics, Statistics, Economics, or a similar field. 3+ years experience in risk and fraud, AML, or compliance in payments, gaming, gambling, or crypto industries. Proficiency in MS More ❯

or capital markets. You have a flair for breaking down problems into logical parts and constructing clear reasoning and analyses, using quantitative analysis methods, statistics & data-driven thinking. You have energy and drive, a passion for continuous learning and mastering new topics, and an understanding of how forces like digital More ❯

is achieved by combining deep forensic investigation knowledge with advanced data engineering and data science techniques such as investigative data linking, social network analysis, statistics, machine learning and large language models. About the role: We are seeking a dynamic and experienced Senior Fraud Analyst to join our team. In this More ❯

the Highest Standards, and has strong engineering and operational best practices experience. Basic qualifications: 5+ years of relevant professional experience in business intelligence, analytics, statistics, data engineering, data science or related field. Experience with Data modeling, SQL, ETL, Data Warehousing and Data Lakes. Strong experience with engineering and operations best More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

for the accuracy and impact of deliverables. Skilled at documenting workflows and building sustainable, scalable reporting systems. Desirable Bachelor's degree (or equivalent) in statistics, applied mathematics, or related discipline Experience working on data within Insurance, a B2B company and/or Commercial Team About Us We've combined groundbreaking More ❯

quality standards and data security protocols within the team Essential skills/experience: Strong demonstrable experience in a relevant field (Business Analytics, Data Science, Statistics, Data Analyst) from within insurance, claims or financial services Intermediate level in SQL, familiarity with Python or R and proven experience using data visualisation tools More ❯

years of experience in a technical consulting role, preferably in AdTech ecosystem with Bachelor's degree in a quantitative field (Computer Science, Mathematics, Statistics, Economics etc.) Demonstrated experience with Prebid and Header Bidding implementations with respect to OTT/CTV Technology : Solid understanding of VoD workflows, OTT delivery, streaming protocols More ❯

data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing solutions in a production environment (e.g., continuous integration). Experience with Python. (Note: we mostly work in Python. More ❯

data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing solutions in a production environment (e.g., continuous integration). Experience with Python. (Note: we mostly work in Python. More ❯

Analytics, a data-based consulting role, or other data strategy type positions). Education: Bachelor's Degree in an analytical field (math, economics, engineering, statistics, etc.), Master's Degree a plus. Tools: You will have knowledge of key industry tools, SQL, Tableau, and Excel. Specifically for this role that would More ❯

reporting, service transformation or project delivery, as well as qualifications such as Microsoft PL300 , membership of a relevant organisation, or postgraduate study in analytics, statistics or business intelligence. An understanding of NHS priorities and a passion for using data to improve services for children, young people and families will also More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

highly proficient with technology, software and can demonstrate quick grasp of programming languages. You have a degree that demonstrates technical ability (e.g., Economics, Mathematics, Statistics, etc.) You can work within an inclusive and diverse team to deliver fresh thinking and innovative solutions. You interact with colleagues and with our clients More ❯

but the company are happy to consider traditional finance backgrounds. Strong education background to at least MSc level in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous More ❯

but the company are happy to consider traditional finance backgrounds. Strong education background to at least MSc level in a quantitative subject such as Statistics, Mathematics, Physics, Computer Science or similar Proficiency in one or more of the following: Python, C#, C++, R, MATLAB Data Science knowledge would be advantageous More ❯

infrastructure. Mentor and guide other Data Science team members. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯

infrastructure. Mentor and guide other Data Science team members. Collaborate with a huge variety of stakeholders Requirements An MSc/PhD in Computer Science, Statistics, or a similarly relevant area. Extensive commercial experience building Machine Learning & Data Science models for Recommender Systems, Pricing Elasticity, Forecasting, NLP, Computer Vision models, etc. More ❯