76 to 100 of 180 Statistical Analysis Jobs in London

science best practices and model performance monitoring. Your Skills & Experience Strong experience applying data science techniques within a commercial environment. Advanced Python skills for statistical analysis, machine learning, and data manipulation. Strong SQL capabilities and experience working with large-scale datasets. Experience building predictive models, customer analytics solutions ...

Advanced knowledge of analytics and visualisation tools such as Adobe Analytics, Google Analytics, Tableau, or Power BI. Strong technical foundation in SQL, data modelling, statistical analysis, and data interpretation. Proven ability to transform complex data into clear, actionable business insights. Experience working with customer segmentation, personalization, lead scoring ...

PyTorch, Hugging Face, LangChain, LangGraph, Haystack)Experience working with Databricks or similar distributed data and machine learning platformsUnderstanding of experimentation methodologies, evaluation frameworks, and statistical analysisProficiency with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn)Demonstrated ability to independently execute technical projects and contribute to cross ...

strategic approach specific to the study design and opportunity specifics;Perform comprehensive review of data sources to deliver high quality informatics data and analysis to teams;Work alongside global feasibility leads to contribute to proposal strategy for site and country selection based on available data;Translate the results … feasibility research and analysis into compelling data visualisations which illustrate the overall feasibility strategy including enrolment modelling;Design and implement database architecture plans and perform custom queries for methodological and clinical data sources;Perform development and review of proposal text;Assist project teams with preparation for bid defence meetings ...

major agricultural futures and options exchanges and is investing in the continued expansion of its systematic trading capabilities through the application of statistical modelling, alternative datasets, automation and advanced analytics. For more information visit https://www.marex.com/Role Summary An analytical, commercially minded and proactive quantitative professional … with experience applying statistical and data-driven techniques within financial markets. Joining a front-office trading team that combines discretionary market expertise with systematic research and alternative datasets, the successful candidate will play a key role in expanding the Agricultural Trading desk's quantitative capabilities through the development ...

workflow across asset classes.Extending existing test suites, including unit, regression, and integration tests. Performance and memory profiling. Assisting in the execution of impact analysis testing runs.Identifying and developing calculation optimization improvementsWorking on documentation.Working with Front Office teams to integrate quant library/technology enhancements into the codebase.Utilizing in-depth … Equities, Commodities, FX derivatives.Experience working on Regulatory based projects such as Model Risk, Basel, Stress Testing, FRTB, CCAR is an advantage.Solid mathematical finance and statistical analysis skills.Familiarity with Numerical analysis/Monte-Carlo methods.Knowledge of probability and stochastic calculus.What we’ll provide you27 days annual leave (plus ...

enabled techniques to data matching, validation, enrichment, and automated workflows, ensuring reliable and actionable datasets. Partner closely with Product, Commercial, CRM, Partnerships, and Business Analysis teams to solve complex business problems and deliver data-driven decision making. Your Skills & Experience Strong hands-on experience with Amplitude or a similar … analytics platform. Advanced analytical capability with SQL and at least one scripting language such as Python or R . Strong understanding of experiment design, statistical analysis, holdout testing, and measuring incremental impact . Experience working with dbt to transform, model, and manage data effectively. Proven experience building reporting ...

across the UK and Germany, ensuring compliance with GDPR and local privacy requirements. Act as the trusted analytics partner to senior leaders, translating complex analysis into clear recommendations and board-ready insights. Raise the bar for experimentation, analytical rigour and storytelling across the organisation while championing data quality, instrumentation … govern commercial marketing metrics such as CAC, LTV/CAC, payback and contribution. Outstanding communication skills, with experience influencing senior executives and presenting complex analysis to board-level stakeholders. Expert SQL skills alongside strong Python or R for statistical analysis and modelling. Hands‐on experience applying advanced ...

pipelines- Bachelor's degree in sciences, engineering, finance or equivalentPreferred qualification - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift- Experience in Statistical Analysis packages such as R, SAS and MatlabAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central ...

frameworks such as PyTorch, TensorFlow, and scikit-learn.Strong understanding of data preprocessing, feature engineering, and evaluation techniques.Experience working with large, complex datasets and applying statistical analysis.Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).Experience managing data science teams and coaching team members.Problem-solving skills ...

PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving ...

PyTorch, TensorFlow, and scikit-learn. Strong understanding of data preprocessing, feature engineering, and evaluation techniques. Experience working with large, complex datasets and applying statistical analysis. Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes). Experience managing data science teams and coaching team members. Problem-solving ...

direct and measurable impact. The Role Own product analytics across key customer acquisition, conversion, activation, and retention journeys Identify opportunities for growth through proactive analysis and actionable recommendations Partner with Product, Commercial, and Leadership teams to influence strategic decisions Define analytics requirements, tracking plans, success metrics, and guardrail metrics … product analytics within a subscription, marketplace, SaaS, platform, or digital product environment Advanced SQL skills with the ability to deliver end-to-end analysis independently Experience working with product analytics and event tracking tools such as Amplitude, Mixpanel, Segment, or similar Strong knowledge of experimentation methodologies, including A/ ...

technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the Amplitude and Statsig platforms.As an Customer Data Scientist … customer evaluations, guiding technical discussions from discovery through proof of concept.Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture.Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development, variance ...

level of experience in Health Informatics, Public Health, Data Science, Statistics, Operational Research, Epidemiology, Health Economics, Business Intelligence or related discipline Advanced training in statistical analysis, business intelligence or data visualisation. Experience Essential Extensive experience in collecting, analysing, interpreting and presenting data to different audiences Experience of building … user-friendly narrative for complex to highly complex data analysis Experience of evaluating national guidance and ability to transfer this to technical deliverables for the team and protocols for non-specialist staff Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order ...

innovation testbeds. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience … etc. Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure ...

innovation testbeds. You will work as part of multidisciplinary teams under the guidance of more senior data science colleagues and contribute to technical analysis and solution design while continuously learning and upskilling on the job, including developing your domain expertise, commercial awareness, and stakeholder management skills. Requirements Proven experience … etc. Ability to conceptualise data architecture and design around requirements of multiple stakeholders. Experience in backend or frontend development frameworks . Ability to apply statistical analysis, machine learning, AI, and data visualisation techniques to solve real-world problems and generate actionable insights. Experience creating and maintaining digital infrastructure ...

drug discovery, chemistry, biomedical research, clinical evidence, safety, and competitive intelligence.The team applies a broad range of data science methods, including traditional machine learning, statistical modelling, natural language processing, neural networks, information retrieval, knowledge graphs, semantic enrichment, and generative AI. These capabilities support products such as PharmaPendium, Reaxys, Embase … science, experimentation, model evaluation, data quality, and production collaboration.Data science deliveryLead the application of data science methods across a broad portfolio, including machine learning, statistical modelling, NLP, neural networks, search, recommendation, knowledge graphs, and generative AI.Oversee the development and improvement of models and pipelines for tasks such as classification ...

data driven stakeholder value for UKLB and our clients.Establish and lead a mature Predictive Analytics function by upskilling individuals, championing innovative approaches to data analysis and interpretation, and driving the adoption of advanced modelling techniques to enhance decision-making and business outcomes.Provision of advanced pensioner demographics and mortality basis … solutions to reduce friction. Conceptualise and offer analytics products and services to internal and external stakeholders along the whole value chain by using statistical methods, for example, GLMs/GAMs/Machine Learning.Lead the creation and adoption of innovative analytical techniques, building tools and embedding them to strengthen data ...

modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making · Stakeholder engagement. Manage project prioritization ...

modelling, experimentation, and deployment.· Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets· Translate business problems into analytical frameworks and actionable solutions to improve decision making· Stakeholder engagement. Manage project prioritization ...

within the marketing or advertising industry.Strong proficiency in programming languages such as Python or R, and experience with SQL.Familiarity with machine learning techniques and statistical analysis.Exceptional problem-solving skills and a keen eye for detail.Excellent communication skills, with the ability to present complex data in an understandable way.A collaborative ...

with exposure to data/ML systems.Strong Python and data-science techniques for measuring factual grounding and answer quality.Experience with LLM evaluation frameworks and statistical analysis.Ability to build automated, large-scale eval harnesses plus lighter human-in-the-loop A/B tests.Comfort working across multiple LLM providers’ outputs.Test ...

technical role that partners closely with Sales, Solutions Engineering, Product, and Engineering teams. You will serve as the trusted expert on experimentation methodology, statistical rigor, and experimentation infrastructure, helping customers solve complex challenges while influencing the future direction of the the company and Statsig platforms. As an Customer Data … evaluations, guiding technical discussions from discovery through proof of concept. Partner directly with data scientists, engineers, and technical leaders to advise on experiment design, statistical methodology, measurement frameworks, and experimentation architecture. Help customers build scalable and trustworthy experimentation programs by educating teams on best practices in experimentation, metric development ...

communication and diplomacy skills, with a demonstrated ability to guide, influence, and collaborate with diverse technical and business partners. Clear understanding of market microstructure, statistical analysis, and risk management. Beneficial skills and qualifications Familiarity with low-latency systems and systems programming languages like Rust or C++. Exposure … benefits, including medical coverage, mental health resources, parental leave, and competitive retirement planning options. #LI-COF Job Family Group: Institutional Trading Job Family: Quantitative Analysis Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion ...