1 to 25 of 157 Permanent Statistical Analysis Jobs in London

UK power and gas market. Your contributions will be essential to the development of our stack model, balance model, margin-based model, and price analysis tools. Responsibilities: Collaborate with the Trading Team to understand and address their requirements for the analytics platform. Be integrated to the Trading Desk to … platforms and tools that meet business needs. Contribute to the decision making process of the trading strategies. Utilise Python programming language for data processing, analysis, and modelling in the Power and Gas market. Conduct time series analysis, including data pre-processing, feature extraction, web scraping, model selection, and … evaluation. Visualise analysis results using tools like Metabase, creating clear and informative dashboards and reports. Develop Position Balance, Market stacks and price forecast models. Evaluate and monitor the accuracy and effectiveness of external price forecast models. Develop analytics related to Power and Gas fundamentals, such as system margin analysis More ❯

manufacturing. Experience with process design based on Lean Principles. Experience in Capital project management. Experience with concepts like system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making. Experience must involve ownership/management of engineering design projects. Experience using business/ More ❯

and other leading national and international infrastructure providers. Summary: The role will include work and exposure across the following areas: Software, HDL and system analysis & modelling: We analyse and model software-based and FPGA-based systems using various techniques. The analysis may be based on design documentation as … well as on the source code. We apply modern analysis techniques to real world software systems. The techniques include formal methods, model checking, dynamic analysis, static analysis (control and data flow, semantic analysis, integrity and concurrency analysis) as well as statistical analysis of … of tools as well as their application. Safety and security assessment: We contribute to the assurance of our clients' projects by assisting with hazard analysis, assessing safety-critical systems and devices, providing independent advice, and reviewing a wide range of safety, assurance, and security cases. We assess the behaviour More ❯

values excellence and efficiency in all its endeavours. Job Description The key responsibilities of the Data and Insights Manager include: Lead high-quality data analysis and intelligence initiatives to support strategic and regulatory objectives. Produce and oversee intelligence products, such as reports and dashboards, on areas of risk and … oversee comprehensive data and intelligence monitoring strategies, incorporating new data sources to manage regulatory risks. Manage and support line reports in conducting high-quality analysis and presenting findings to stakeholders. Implement tools and techniques for data analysis and visualisation to enhance risk assessment processes. Assist with and lead … change projects in data management and other initiatives. Champion the integration of advanced risk analysis and intelligence across the organisation. Support the development and continuous improvement of the Regulatory Risk Framework. Deputise for the Head of Regulatory Risk and Insights when needed. The Successful Applicant The successful candidate for More ❯

in vast amounts of data and make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, statistical analysis, and building high-quality prediction systems integrated with our products. A data scientist is someone who creates value from data. Such a … learning-based tools or processes within the company, such as recommendation engines or automated lead scoring systems. They should also be able to perform statistical analysis. Requirements Python for DS (the usuals pandas plotting etc) Modelling skills for both ML applications and data reporting SQL at least basics but … and written, and must be comfortable delivering presentations and facilitating workshops Key Accountability Cleaning and preparation of large data sources in different formats for analysis Analysis of data for identifying trends and correlations Development of predictive & generative models Design and development of databases Organisation, interpretation, and visualisation of More ❯

successes and failures and using these insights to create best practices for testing exercises. Developing our approach to uncertainty quantification and significance testing, increasing statistical power (given time and token constraints). Developing methods for inferring model capabilities across given domains from task or benchmark success rates, and assigning … with the evaluations teams, and developing "sanity checks" to ensure the claims made in our reports are as strong as possible. Conducting in-depth analysis of evaluations methodology and results, diagnosing possible sources of uncertainty or bias, to improve our confidence in estimates of AI system capabilities. Improving the … statistical analysis of evaluations results (e.g. model selection, hypothesis testing, significance testing, uncertainty quantification). Developing and implementing internal best-practices and protocols for evaluations and testing exercises. Staying well informed of the details and strengths and weaknesses of evaluations across domains in AISI and the state of More ❯

has a wide remit including automatic quoting, optimizing hedging decisions, and developing algorithms to trade derivatives on venues around the world. We also deploy statistical analysis techniques and mathematical models to enhance the decision-making process, with the overall aim of improving business performance while working closely with … Implement automated hedging algorithms, and build frameworks to manage risk centrally across asset classes using factor models and other techniques. Perform systematic and quantitative analysis of flows and market data, driving business strategy and the design of our quantitative market making platform. Use advanced statistical analysis and More ❯

The Junior Risk Analyst provides support to the Risk Reporting & Analytics team by assisting with data collection, analysis, and reporting. This entry-level role focuses on building foundational skills in risk analytics and contributing to the accuracy of risk insights and reports. Reporting to the Head of Business Control … creation of risk reports and dashboards by preparing visualisations and summaries. Help tailor reports for different audiences, including operational teams and senior management Data Analysis : Perform preliminary analysis to identify trends and anomalies in risk and control data. Support the team in monitoring key risk and control indicators. … people across 32 countries. Experience and Skills What you'll bring: Numerical and analytical skills with a willingness to learn advanced techniques associated with statistical analysis, trend analysis, and data visualisation to identify key insights. Ability to deliver reports via analytics and reporting tools (e.g., Power BI More ❯

stocks, options, ETFs, and futures, with strategies like market making, automatic quoting, risk management, systematic trading, and algorithmic execution across global venues. We utilize statistical analysis and mathematical models to enhance business performance and collaborate closely with traders and sales to deliver value to clients and the firm. … Role Responsibilities Lead our Quantitative Trading & Market Making desk, developing market making and quoting strategies for equities, from cash to derivatives. Apply advanced statistical analysis and techniques like neural networks to create models that inform systematic trading and risk management decisions in real time. Develop frameworks for risk … management and portfolio optimization across asset classes using factor models and other methods. Create model calibration frameworks for advanced statistical and AI models, handling large-scale time series data. Advance our market making strategies using diverse technologies and collaborate with Quant Developers and engineering teams. Basic Qualifications Strong academic More ❯

analyses, dashboards, etc. to drive key business decisions. Ensure data accuracy by validating data for new and existing tools. Apply data mining and quantitative analysis to understand ways to improve our content selection for customers Perform both ad-hoc and strategic data analyses Build various data visualizations to tell … the story and let the data speak for itself Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Build automation to reduce dependencies on manual data pulls etc. - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. … 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 languages (e.g., Python, Java, or R) - Master's degree or advanced technical degree - Knowledge of More ❯

collaborate with teams from Engineering, Product, and fellow data scientists to develop advanced models and solutions. Your responsibilities will include conducting hypothesis testing, applying statistical analysis techniques, and designing and implementing modeling methodologies. You will engage with stakeholders to understand their requirements, provide regular updates on project progress … drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understanding of business analysis techniques, including SWOT (Strengths, Weaknesses, Opportunities, Threats) and SOAR (Strengths, Opportunities, Aspirations, Results) analysis to understand business priorities and align data science initiatives … Collaborate with cross-functional teams to define data requirements, design experiments, and develop strategies to extract meaningful insights from complex datasets. Conduct rigorous data analysis, applying statistical techniques and data visualization to uncover patterns, trends, and actionable insights. Evaluate and recommend appropriate tools, frameworks, and technologies to enhance More ❯

much more diverse than that. If this role is right for you, you will enjoy the challenge of pivoting between ad-hoc pieces of analysis, reporting enhancement, new builds, as well as working on long-term strategic projects to enhance the BI & Analytics capabilities in Amazon. Minimum Qualifications 2+ … 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) Master's degree or Advanced technical degree Knowledge of … data modeling and data pipeline design Experience with statistical analysis, correlation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the More ❯

trends, and supporting risk-based decision-making across the business. Reporting to the Head of Business Control Testing. What you'll be doing: Data Analysis : Collect, clean, and analyse data from multiple sources to identify trends, patterns, and potential risks. Monitor and analyse key risk and control indicators to … Exchange (EXPN), we have a team of 22,500 people across 32 countries. Experience and Skills What you'll bring: +3 years experience in statistical analysis, trend analysis, and data visualisation to identify important insights. Experience in analytics and reporting tools (e.g., Power BI, Tableau, Excel, SQL More ❯

this role, you'll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g. … Management) with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language … data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server machine learning statistics microsoft power bi java Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. More ❯

to uncover actionable insights for our audience. Ensure compliance with best practices in data governance. Lead data projects and guide team members in data analysis and governance practices. Build a high-performing team of data analysts, with a blended onshore, nearshore and offshore approach to support effective resourcing. Lead … the upskilling of our content and research teams in data analysis, data-led storytelling and data visualisation. Support the programme to transform our content into data that can be mined for trends and insights by our content creation teams, and also drive the creation of new data analysis … and client-facing products driven by improved access to, and interrogation of, our existing and potential data. Skills Knowledge and Expertise Technical skills Data analysis and visualisation: proficiency in tools like Infogram, Tableau, and Power BI. Statistical analysis: strong understanding of statistical methods and their application More ❯

engagement. Support growth goals by providing data-driven insights to improve customer acquisition and early retention. Conduct experimentation and A/B testing, ensuring statistical robustness and deriving insights to drive product improvements. Apply hypothesis testing methodologies to validate product changes and marketing strategies. Collaborate with cross-functional teams … optimize acquisition and conversion strategies. Develop and maintain dashboards and reporting tools to track KPIs and acquisition performance. Leverage advanced analytics techniques (e.g., regression analysis, segmentation, cohort analysis) to enhance understanding of user behavior. Collaborate with performance marketing and CRM to maximise LTVs. What We're Looking For … Bachelor's degree in Mathematics, Data Science, Statistics, Marketing, Business Analytics, Economics or a related field. 4+ years of experience in product analytics, data analysis, or a related field. Expert knowledge in SQL. Experience with data visualization tools such as Tableau, ThoughtSpot, or Power BI. Expert knowledge of Statistical More ❯

obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and … Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python … R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. More ❯

with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data … improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity … and manipulate data across various data marts, and align research focuses on Amazon's strategic needs. A day in the life • Perform complex data analysis (correlations, regressions, simulations, optimization, etc.) and identify improvement opportunities on key customer experience metrics (sales, consolidation, Prime benefits, reduce ship costs, etc.). • Own More ❯

concepts and technologies with: Experience in running stakeholder workshops and use case development. Consultative approach or experience with business acumen. Strong understanding of data analysis techniques, statistical analysis, and data visualization. Experience with AI and GenAI concepts, including machine learning algorithms, deep learning, and natural language processing. More ❯

Provide insights, solutions, and recommendations to address problem statements from the candidate initiatives. What are we looking for? Extensive experience in a senior data analysis position with strong experience in data analysis using tools such as SQL, Excel, Power BI and AWS data insight tooling. Ability to utilize … programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions. Proven ability in using statistical analysis, predictive modelling and explanatory modelling to identify trends. Ability to work well More ❯

this role, you'll getto: Spearhead the development, execution, and optimization strategy for growing Agoda's new & emerging marketing channels Conduct end-to-end analysis of large, complex datasets related to channel performance, user behavior, and market trends, translating raw data into actionable insights Develop hypotheses, design experiments (e.g. … Management) with proven strong commercial acumen It's great if you have: Experience in digital or social media marketing Experience in hypothesis testing frameworks, statistical analysis, and using Python/R for data manipulation and analysis. data representation data analysis SQL data analytics analytics python (programming language … data mining data science r (programming language) tableau analytical skills data visualization databases business analysis business intelligence (bi) microsoft sql server digital marketing social media content marketing Equal Opportunity Employer At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We More ❯

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/BI … space PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting More ❯

global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them. We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist … Education, which uphold our global reputation for excellence and integrity. The Economic Intelligence Unit (EIU) is a global leader in providing economic and political analysis, data, and forecasting. We are committed to helping businesses, governments, and academic institutions navigate complex challenges by delivering insightful, actionable intelligence. Our team of … experts combines data science, economic analysis, and technology to create innovative solutions. The EIU is recruiting for an entry-level position, within the quantitative economics team - an international team of data analysts, economists and econometricians - that is in charge of EIU's key economic data products and the statistical More ❯

role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: • Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. • Enable strategic decision making through data driven analytics. … Risk Mitigation and Data Governance: • Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: • Work with stakeholders to define project scope, objectives, and deliverables, creating detailed … performance optimization. • SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. • Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. • Data Warehousing Knowledge: In-depth knowledge of data More ❯

role in suggesting and implementing process improvements for the team to mitigate risks and enhance the overall client experience. JOB SUMMARY AND RESPONSBILITIES: Data Analysis and Process Improvement: •Analyze trade lifecycle and operational workflows to identify areas for optimization and automation. •Enable strategic decision making through data driven analytics. … Risk Mitigation and Data Governance: •Implement data validation rules and monitoring mechanisms to ensure the accuracy and reliability of data used for reporting and analysis, adhering to data quality standards and regulatory requirements Stakeholder Management and Prioritization: •Work with stakeholders to define project scope, objectives, and deliverables, creating detailed … performance optimization. •SQL Development Skills: Mastery of SQL, including the ability to write complex queries, stored procedures, views and perform query optimization. •Programming/Statistical Analysis Skills: Working knowledge of R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data More ❯