1 to 25 of 1,012 Statistics Jobs in the UK

unstructured data managementStatistical analysis and predictive modellingAI-enabled analytics and automation solutions QualificationsQualification in a Highly Numerate Subject (e.g. Computer Science, Operational Research, Statistics, Mathematics, Engineering, or Economics) or equivalent experience Ideally, You'll Also HaveExperience of financial, operational, and commercial reporting and relevant performance metricsAn understanding of basic corporate ...

Financial Services.Strong experience partnering with senior leaders to drive aligned, data informed decisions and business outcomes.Masters degree or equivalent in Quantitative Discipline (i.e. Finance, Statistics, Computer Science, Actuarial Science, Economics, Engineering etc.)Knowledge of advanced statistical concepts and techniques, e.g. skilled in linear algebra.Experience conducting hands-on analytics projects using ...

investment management or financial services Strong knowledge of investment data, portfolio analytics, performance attribution and risk Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field Advanced proficiency in Python, R and Structured Query Language (SQL) Experience using database platforms Strong communication ...

investment management or financial services, with strong knowledge of investment data, portfolio analytics, performance attribution and risk.Bachelor's or Master's degree in mathematics, statistics, computer science, data science or a related quantitative field.Advanced proficiency in Python, R and Structured Query Language (SQL), together with experience using database platforms.Strong communication ...

your Hiring Manager. Qualifications Education & Professional Qualifications: Degree educated (2:1 or above preferred) in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Engineering. Professional qualification preferred: CIMA, ACA, ACCA, CFA, or MBA. Technical & Analytical Skills: Advanced proficiency in Excel, VBA, PowerPoint, and Power BI; working knowledge ...

confirmed by your Hiring Manager.QualificationsEducation & Professional Qualifications:Degree educated (2:1 or above preferred) in a quantitative field such as Finance, Economics, Mathematics, Statistics, or Engineering.Professional qualification preferred: CIMA, ACA, ACCA, CFA, or MBA.Technical & Analytical Skills:Advanced proficiency in Excel, VBA, PowerPoint, and Power BI; working knowledge ...

placements. - Proven hands-on experience with Marketing Mix Modelling (MMM) and related marketing effectiveness methodologies. - Bachelor’s or Master’s degree (or equivalent) in Statistics, Econometrics, Data Science, Economics, Applied Mathematics, Business Analytics, Marketing, or a related analytical field. - Strong technical proficiency in Python, R, SQL, or similar analytics tools ...

Manager, Google Ads, DV360, SA360, Meta Business Suite, LinkedIn Campaign Manager, Salesforce or Microsoft Dynamics.Education/Certification Requirements:Master's degree in Actuarial Science, Statistics, Economics, Data Science, Mathematics or a related quantitative discipline.Professional certification in Marketing Analytics, Digital Marketing or Data Strategy is an advantageWorking environment:Hybrid role ...

years’ experience in client‐facing data science roles with demonstrable impact on business outcomes.Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, NumPy, TensorFlow, or PyTorch.Solid understanding of statistical analysis ...

Google Ads, DV360, SA360, Meta Business Suite, LinkedIn Campaign Manager, Salesforce or Microsoft Dynamics. Education/Certification Requirements: Master's degree in Actuarial Science, Statistics, Economics, Data Science, Mathematics or a related quantitative discipline. Professional certification in Marketing Analytics, Digital Marketing or Data Strategy is an advantageWorking environment: Hybrid role ...

experience in client‐facing data science roles with demonstrable impact on business outcomes. Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline. Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, NumPy, TensorFlow, or PyTorch. Solid understanding ...

especially in the context of infrastructure and environmental projects.Experience mentoring and coaching technical teams, promoting collaboration and innovation.Preferred QualificationsMaster’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference ...

especially in the context of infrastructure and environmental projects.Experience mentoring and coaching technical teams, promoting collaboration and innovation.Preferred QualificationsMaster’s degree in Computer Science, Statistics, Applied Mathematics, or related field, with a focus on data science applications in infrastructure or environmental domains.Familiarity with time-series forecasting, optimisation, and causal inference ...

Strong, proven experience in analytics and digital advertising from large marketing-related organisations or measurement suppliers.- Bachelor's degree in a quantitative field (e.g., statistics, mathematics, economics, or computer science) or equivalent.- Proven experience in Data Science, Data Analysis, Measurement, or a related field.- Demonstrated ability to drive projects independently ...

Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python ...

skills, with the ability to explain complex technical concepts to non-technical stakeholders Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related discipline A proactive, curious mindset with a passion for emerging AI and ML technologies If you would like to hear more, please ...

clearly to diverse audiencesThis is a hybrid role requiring 3 days per week in the officeExperience you may haveA degree in a quantitative subject (Statistics, Mathematics, Computer Science, Economics, etc.)Experience in healthcare, public health or regulated industriesExposure to Python or R for data analysis and statistical workExperience working ...

team. Essential Experience: Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD. Proficient in applying mathematics, statistics, and machine learning principles to derive actionable insights from complex datasets. Proficient in Python programming, with a focus on writing clean, efficient, and maintainable code ...

team. Essential Experience: Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD. Proficient in applying mathematics, statistics, and machine learning principles to derive actionable insights from complex datasets. Proficient in Python programming, with a focus on writing clean, efficient, and maintainable code ...

related field within Financial Services, FinTech, Insurance, or other regulated industries. • Bachelor’s degree (Master’s or PhD preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.• Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments ...

related field within Financial Services, FinTech, Insurance, or other regulated industries. • Bachelor’s degree (Master’s or PhD preferred) in Data Science, Technology, Mathematics, Statistics, Business Administration or equivalent work experience.• Proven experience building and commercialising data-driven, advanced analytics, AI, and ML products using multiple data sources, including payments ...

engineers to improve underwriting at Coalition. Intellectual curiosity and proactive approach to identifying improvement opportunitiesSkills and QualificationsBachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Actuarial Science, or related discipline)5+ years of experience in underwriting, quantitative analysis, or risk modeling in the insurance industryKnowledge of underwriting ...

based solutions.Work hands-on with cutting-edge technologies to design, develop, and deploy artificial intelligence capabilities that automate processes and enhance decision-making.Apply data, statistics, and modeling to solve complex problems and generate actionable insights.Develop predictive models, test hypotheses, and analyze trends to help teams make smarter, data-driven decisions.Support ...

ability to handle competing priorities and independently manage project delivery to client expectations A degree at graduate or postgraduate level in Data Science, Mathematics, Statistics, Economics or a related numerate discipline – or equivalent professional experience as a substitute Advantageous SQL and experience working with relational databases including direct interaction with ...

ability to handle competing priorities and independently manage project delivery to client expectationsA degree at graduate or postgraduate level in Data Science, Mathematics, Statistics, Economics or a related numerate discipline – or equivalent professional experience as a substituteAdvantageousSQL and experience working with relational databases including direct interaction with SQL databases, views ...