17 of 17 Statistical Analysis Jobs in Central London

related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … agents. Preferred qualifications: 8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree. Experience in software development and source control methodologies. Experience working with cloud ...

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 ...

long-term partnerships, Veramed brings the right minds to every challenge. The Role The purpose of this role is to provide high‐quality statistical support. As a Senior or Principal Statistician, you may also take on a supervisory role, including line management and/or project leadership, depending … someone with significant experience in clinical studies and regulatory submissions, who is comfortable working directly with clients - including situations where there is no internal statistical support. You will be confident working independently, managing your own workload, and contributing across multiple projects and clients. Strong communication skills are essential, including ...

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 ...

Strong hands-on experience with data visualisation tools such as Tableau, Power BI, or Looker. Familiarity with programming languages like Python or R for statistical analysis is highly advantageous. Excellent communication skills, with the ability to explain complex data concepts to non-technical audiences clearly and concisely. ...

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 ...

connect measurement approaches into one practical framework for investment decision-making. This is a highly technical leadership role: the successful candidate will combine advanced statistical thinking, hands-on data capability and strong commercial judgement to protect the integrity of evidence while enabling confident media investment decisions. What … technical specialists and embedding measurement best practice across Media, Digital, Econometrics and agency partners. Essential Criteria Deep expertise in experimental design, causal measurement and statistical analysis, with experience designing and evaluating large-scale media tests (including feasibility, power analysis, KPI definition and confidence assessment), ideally including ...

connect measurement approaches into one practical framework for investment decision-making. This is a highly technical leadership role: the successful candidate will combine advanced statistical thinking, hands-on data capability and strong commercial judgement to protect the integrity of evidence while enabling confident media investment decisions. What … technical specialists and embedding measurement best practice across Media, Digital, Econometrics and agency partners. Essential Criteria Deep expertise in experimental design, causal measurement and statistical analysis, with experience designing and evaluating large-scale media tests (including feasibility, power analysis, KPI definition and confidence assessment), ideally including ...

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 ...

equivalent practical experience. 9 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. 3 years of experience in people management, in leading, mentoring, and developing technical and analytical teams. Experience writing, reviewing, and maintaining code for data … manipulation and analysis using programming languages (such as Python, R, SQL). Experience presenting to non-technical audiences. Preferred qualifications: PhD in a quantitative fields such as Statistics, Mathematics, Economics, Operations Research, Data Science. Experience in advanced marketing measurement methodologies (e.g., conversion lift, geo-experiments, Media Mix Modeling, brand ...

equivalent practical experience. 7 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Preferred qualifications: 2 years of experience managing an Analytics or Data Science team, including prioritisation, roadmapping, coaching and performance management. Experiences with experimental design … supervised/unsupervised ML approaches for regression and classification tasks. Experience of root cause analysis to ensure that problems are solved at both a tactical and strategic level. Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling . Understanding ...