10 of 10 Statistical Analysis Jobs in the City of London

visualization, who can operate with high autonomy and influence decision-making across cross-functional teams. Responsibilities: Search Evaluation & Analytics Perform a leading role in analysis of search and retrieval system performance, including ranking quality and relevance. Help define and standardize search evaluation metrics (e.g., NDCG, MAP, recall, precision … testing and experimentation frameworks for search and ranking improvements. Partner with product and data science to define success metrics and experiment strategies. Ensure statistical rigor in experiment design, analysis, and interpretation. Build reusable experimentation templates and scalable analysis workflows. Data Visualization & Communication Own and evolve dashboards ...

leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker ...

highly talented team within the sports trading industry in central London. You will work with large and complex datasets, developing quantitative models and using statistical analysis to identify patterns, trends and opportunities within sports data. Working closely with experienced analysts, developers and trading teams, you will play … their career within a fast-paced sports trading environment. Key Responsibilities Analyse and interpret large and complex sports datasets. Develop and improve mathematical and statistical models. Apply probability and statistical techniques to sports data. Identify patterns, trends and opportunities within large datasets. Work closely with analysts, developers ...

data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data … proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek ...

insurance business who are looking for a highly analytical Pricing Data Analyst to join a growing data and analytics Pricing Team. You will use statistical analysis, data science and modelling to support pricing decisions across the business. The role suits someone with a strong mathematical or statistical … problems through data. What you will be doing as their Pricing Data Analyst: Analyse pricing and insurance data to identify trends and opportunities. Develop statistical and predictive models to support pricing decisions. Analyse the impact of pricing changes. Support pricing and underwriting teams with data-driven insight. Build ...

development of evaluation datasets, gold standards, and annotation strategies. Guide and review experimental design, including offline evaluation and A/B testing, ensuring statistical rigor and validity. Contribute to responsible AI practices, including bias, fairness, and risk evaluation Generative AI & Applied Research Apply and adapt state … e.g., PyTorch, Hugging Face, LangChain, LangGraph, Haystack) Experience working with Databricks or similar distributed data/ML platforms Strong understanding of experimentation design and statistical analysis Preferred qualifications Batchelor's, Masters, PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large-scale ...

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 ...

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/ ...

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 ...

holder or CAIA Experience in customer service or client relationship management Experience working with international business groups and clients Knowledge in information technology and statistical analysis or computer programming for example Excel, SQL, and/or Python If indicated, please note that years of experience are a guide ...