101 to 125 of 208 Statistical Analysis Jobs in London

engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. … Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering … and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical More ❯

BASIC QUALIFICATIONS Experience programming to extract, transform and clean large (multi-TB) data sets. Experience with theory and practice of design of experiments and statistical analysis of results. Experience with AWS technologies. Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice More ❯

scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance and metadata management • Experience More ❯

delivering impactful presentations to both executive and operational stakeholders. Experience managing complex stakeholder relationships independently. Working knowledge of marketing analytics, ROI modeling, financial/statistical analysis. Proficiency with SQL and data visualization tools (e.g., Tableau, Looker, Data Studio). Client Description Our client is a multinational technology company, specializing More ❯

Product Data Scientist , you will collaborate with Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities include hypothesis testing, statistical analysis, and designing modeling methodologies. You will engage with stakeholders to understand requirements, provide updates, and translate complex technical concepts into actionable insights … product team, testing hypotheses, validating assumptions, and driving innovation. Align experiments with business and product objectives, ensuring clarity of goals and outcomes. Apply business analysis techniques like SWOT and SOAR to understand priorities and align data science initiatives. Collaborate with data engineers, product teams, and stakeholders to develop data … and insights for transparency and knowledge sharing. Work with cross-functional teams to define data requirements, design experiments, and extract insights. Conduct rigorous data analysis to uncover patterns and actionable insights. Evaluate and recommend tools, frameworks, and technologies to improve capabilities. Ensure compliance with data governance and privacy policies. More ❯

takes to succeed: Good coding skills in Python or equivalent (ideally Java or C++). Hands-on experience in open-ended and ambiguous data analysis (pattern and insight extraction through statistical analysis, data segmentation, etc). A craving to learn and use cutting-edge AI technologies. Understanding More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

connect brands with their ideal audiences while delivering transparency and performance at scale. Their products and services rely on intelligent features, in depth data analysis, and trained AI models. They even partner with industry leaders like Warner Bros, Pokémon, & Asics. We’re looking for a Sr. Data Scientist who … making and build industry leading data products. Responsibilities: Build new solutions from prototypes to production feature to solve business problems using machine learning and statistical analysis Maintain and build upon our existing ML models and solutions Influence the direction of the company’s product & data strategy Synthesize analytics … and statistical approaches into easy-to-consume storylines, both visually and verbally, and clearly communicate with both non-data science audiences (such as creatives) and data scientists Work closely with the wider data science and engineering team as well as supporting and presenting to multiple stakeholders What we’re More ❯

Out of Stock (SoROOS) and Lost in Stock (LIS) at various business hierarchies. Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level). Build predictive models for seasonal demand … SQL experience Experience programming to extract, transform and clean large (multi-TB) data sets Experience with theory and practice of design of experiments and statistical analysis of results Experience in scripting for automation (e.g. Python) and advanced SQL skills. Experience with theory and practice of information retrieval, data More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … Your qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using More ❯

and food & beverage industries, across the world. We build innovative solutions to support our clients to make better decisions combining various forecasting methods and statistical models, GIS and web tools to create bespoke solutions. We are always looking to do things better. We have fun and value every member … qualifications and experience You are a pro at using SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL). Modelling & Statistical Analysis experience, ideally customer related. Coding skills in at least one of Python, R, Scala, C, Java or JS. Track record of using More ❯

with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in More ❯

with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in More ❯

and operational teams. Strong ability to manage relationships with internal and external stakeholders. Knowledge of marketing analytics, return on investment (ROI), financial modeling, and statistical analysis. Proficiency in working with databases, SQL, and data visualization tools. More ❯

and operational teams. Strong ability to manage relationships with internal and external stakeholders. Knowledge of marketing analytics, return on investment (ROI), financial modeling, and statistical analysis. Proficiency in working with databases, SQL, and data visualization tools. More ❯

and external data and intelligence. In this role, you will contribute to the development and delivery of data, as well as the creation and analysis of Management Information (MI). Your work will inform strategic decision-making and support the implementation and optimisation of cutting-edge counter-fraud controls … Collaborate with Underwriting, Fraud Investigators, Claims, and Pricing teams to achieve key objectives. Qualifications Creative problem-solving skills using data. Proven ability to perform statistical analysis, either through education or work experience. Ability to clearly communicate complex issues. Competence in conducting analysis and presenting findings to non … small team environment. Good knowledge of programming skills (Python/SQL knowledge desirable) Knowledge of the insurance industry and experience in data or pricing analysis (Desirable). We're always looking to recognise and reward our employees for the work they do. As a valued member of The AA More ❯

Researcher . The role involves developing advanced research and trading strategies across global equities, futures, and systematic macro asset classes. Key Responsibilities: Conduct advanced statistical analysis on financial data to identify and develop predictive models for trading strategies across various asset classes. Lead full-cycle quantitative research and … Statistics, Computer Science, Engineering, or related field). Strong programming skills in languages such as Python , C/C++ , or R . Experience with statistical modeling, time-series analysis, and machine learning techniques applied to financial markets. Ready to leverage your quantitative skills and make an impact in More ❯

Amazon. BASIC QUALIFICATIONS • At least 3+ yrs of experience in Sales/Business Analyst role handing business reporting • Bachelors or above degree with Data Analysis or similar related fields • Strong analytical and quantitative skills with professional experience with Excel/SQL; ability to handle data and metrics to back … environment, succeeding through regular meetings and clear formal and informal communication with members of the remote and local management teams. PREFERRED QUALIFICATIONS • Proficiency in statistical analysis tools • Ability to dive deep into data, existing processes, people and systems in order to invent, simplify, and improve inefficient or unnecessarily More ❯

Senior Data Scientist who will help us optimise our user acquisition efforts within the mobile gaming space. Your primary focus will be in doing statistical analysis, building time-series models and using causal inference. You will be working closely with our User Acquisition team to advise them on … any other techniques to understand our user behaviour and assess effectiveness of multiple marketing channels. Build or improve existing forecasting models. Based on your analysis/forecasting models, make recommendations for optimal allocation of user acquisition budget. Through dialogue with the UA team and data analysis, formulate questions More ❯

modeling processes, conducting scenario and sensitivity analyses, and contributing to the firm’s strategic risk oversight. This role requires a strong foundation in quantitative analysis, market knowledge, and collaborative problem-solving. Key Responsibilities: Design and enhance multi-factor risk models to better assess market, credit, liquidity, and other exposures … or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress More ❯

modeling processes, conducting scenario and sensitivity analyses, and contributing to the firm’s strategic risk oversight. This role requires a strong foundation in quantitative analysis, market knowledge, and collaborative problem-solving. Key Responsibilities: Design and enhance multi-factor risk models to better assess market, credit, liquidity, and other exposures … or quantitative research, ideally within a trading or investment environment. Strong programming proficiency in Python, R, MATLAB, or similar languages, with demonstrated experience in statistical analysis and model development. Familiarity with risk metrics and methodologies including Value at Risk (VaR), Conditional VaR, and volatility estimation. Experience with stress More ❯

This role sits within the Marketing Effectiveness team at Medialab, helping clients understand the true value of their media investments through advanced measurement solutions, statistical modelling, and integrated insights. Reporting to the Head of Marketing Effectiveness, you will lead modelling workstreams, ensure quality control, and integrate research from multiple … and mentoring other consultants/data scientists. Solid understanding of advertising and media planning, working closely with planners and buyers. Proven track record in statistical analysis, with the ability to interpret large datasets using various tools. Strong project management skills, overseeing the end-to-end delivery of modelling More ❯

NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience More ❯

data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering actionable insights through effective storytelling. The ideal candidate will have a passion for automation and clean, streamlined process design. You More ❯

confident communication skills; able to collaborate effectively with both technical teams and non-technical stakeholders. Solid understanding of experimentation methodologies, including AB testing and statistical analysis. An interest in sports, gaming, or personalisation domains is highly advantageous. Familiarity with CI/CD practices and the broader software delivery lifecycle More ❯