51 to 75 of 180 Statistical Analysis Jobs in London

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 ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role … sourcing external structured and unstructured data sets to enhance services and insightsProcessing, cleansing, and verifying the integrity of data used for analysisPerforming ad-hoc analysis and presenting results from a business-centric perspectiveBuilding innovative models to classify and predict tax and legal data leveraging state-of-the-art machine ...

data-driven culture by enhancing analytical capability, promoting self-service insights and championing evidence-based decision-making across the organisationApply advanced analytical techniques, including statistical analysis, predictive modelling and data science methodologies, to uncover trends, identify risks and generate prescriptive insightsWhat you’ll need to succeedDegree in data … analytics, statistics or a closely related field2+ years experience working as an analyst within a large, regulated organisationExperience conducting quantitative analysis and communicating insights to both technical and non-technical audiencesStrong problem solving skillsStrong Excel, SQL and Power BI skillsStrong communication and stakeholder management skillsExcellent attention to detail#LI-AIGAt ...

honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data … demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical CapabilitiesStrong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using ...

product KPIs, success metrics and analytics requirements for digital products.Experience writing requirements for product analytics, event tracking, instrumentation and reporting.Strong understanding of customer behaviour analysis, product performance measurement, product lifecycle metrics and digital commerce.Experience analysing digital product performance using metrics such as conversion, engagement, adoption, retention, utilisation and revenue.Experience … such as GA4, Amplitude, Mixpanel, Pendo or similar is highly desirable.Familiarity with experimentation methodologies including A/B testing, hypothesis-driven product development and statistical analysis would be advantageous.Excellent stakeholder management and communication skills, with the ability to explain technical concepts and analytical findings to both technical ...

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. ...

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. ...

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. ...

cohesively within diverse teams to drive optimised, cohesive transformations and advanced planning solutions.Essential: Experience in end-to-end supply chain analytics, data modelling, and statistical analysis, with proficiency in analytical tools (e.g., Python, R, SQL) and data visualisation platforms.Experience of working with clients and internal stakeholders, where ...

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 Apply and adapt state‐of‐the‐art techniques in NLP, embeddings … 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 PhD in Computer Science, Data Science, Machine Learning, or a related field Experience working with large‐scale datasets (scientific, biomedical ...

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 ...

data setsProgramming experience (focus on machine learning): R and/or Python, with SPSS, SAS, or similar tools considered nice-to-haveAbility to prototype statistical analysis and modeling algorithms and apply them to develop data-driven solutions in new domainsAbility to independently own and drive model development while ...

impactful manner to drive data-driven decision making. Deliver deep-dive customer insight and recommendations that explain customer performance and behavioural trends.Advanced Analytics: Apply statistical and analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means … Loosely Held: Be vocal and maintain your point of view while remaining open to new ideas, challenge and opposing perspectives.Who you are:Proficiency in statistical analysis, customer analytics and data visualisation tools. Experience working with large customer, marketing, loyalty or digital datasets. (3+ years)Proven experience writing code ...

business. You'll be responsible for: Analysing large and complex datasets to generate actionable customer insights Building data marts and analytical models Using statistical and machine learning techniques, including regression and clustering Presenting findings clearly to senior stakeholders and influencing data-driven decisions Working collaboratively across teams to identify … opportunities for optimisation About you: 3+ years' experience in statistical analysis and data visualisation Strong SQL and experience with Python and/or R Knowledge of advanced analytics and machine learning techniques Excellent communication and stakeholder management skills A curious, analytical mindset with strong attention to detail Location ...

assisted development: High proficiency using Kiro/Claude as daily development tools not just prompting, but leveraging AI to accelerate pipeline development, data analysis, and automation - Skills & agents: Hands-on experience building AI skills and agents within the Amazon internal ecosystem (AIM, MCP integrations), or a strong desire … data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R)- Experience with SQL- Experience in the data/ ...

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

experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production. Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation. Proficiency in Object-Oriented programming in Python with expertise ...

Extensive experience applying data science methods to solve real-world problems with a proven track record of deploying AI models and solutions to production.Strong statistical analysis skills, with a foundation in probability, to support robust model development and interpretation.Proficiency in Object-Oriented programming in Python with expertise ...

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

computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging, computational image analysis, and multi-modal clinical data integration. The research aims to improve disease diagnosis, prognostic modelling, and precision medicine approaches. The postholder will work closely with … funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python, R, or equivalent scientific computing tools Experience with deep learning frameworks and large-scale data analysis ...

models that genuinely move the needle. To be successful, you’ll be comfortable getting hands‐on with pipelines and infrastructure - and unafraid of the statistical rigour that serious modelling demands. You’ll work closely with stakeholders across every part of the business - helping them ask better questions, understand … scoped modelling problems with clear success criteria Identifying where predictive, forecasting or optimisation models can have the greatest business impact, and prioritising accordingly Modelling & Statistical Analysis Designing, developing and iterating supervised and unsupervised ML models that predict, forecast and optimise across the business Applying rigorous statistical methods ...

Senior Management is expected. Responsibilities Lead research and development of margin, stress testing, and risk management models for clearing houses. Perform quantitative risk analysis and develop solutions across multiple asset classes (interest rate, equity, credit, and commodity derivatives). Conduct data exploration, statistical analysis, and time series … senior management. Collaborate with technology teams for production implementation and integration of models and data systems. Engage in innovative research in quantitative finance, advanced statistical techniques, and data science. Knowledge and Experience Advanced degree (MSc or PhD) in Mathematics, Statistics, Physics, Quantitative Finance, Data Science, or a related field. ...

competitive. Create and maintain mathematical specifications for game implementations. Build simulation tools to validate theoretical calculations and game behaviour. Perform Monte Carlo simulations and statistical analysis to verify mathematical accuracy. Present and explain mathematical design decisions and how they affect player experience to technical and non-technical teams … maths development in the igaming industry Strong understanding of probability theory, combinatorics, and statistics. Excellent analytical and problem-solving skills. Experience with Excel and statistical modelling. Programming experience in C#, Java, or similar languages. Ability to interpret large datasets and validate simulation results. High attention to detail and commitment ...

data visualization, who can operate with high autonomy and influence decision-making across cross-functional teams.Key responsibilitiesSearch Evaluation & AnalyticsPerform 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, CTR).Analyze query …/B 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 & CommunicationOwn and evolve dashboards and reporting systems tracking ...