1 to 25 of 183 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 ❯

handling skills Ensure best practices on data integrity, design, testing, implementation, documentation, and knowledge sharing Contribute to supplier operations strategy development based on data analysis Lead strategic projects to formalize and scale organizational processes Build and manage weekly, monthly, and quarterly business review metrics Build data reports and dashboards … highlight new opportunities Improve code quality and optimize BI processes Demonstrate proficiency in a scripting language, data modeling, data pipeline design, and applying basic statistical methods (e.g., regression) for difficult business problems A day in the life: Working closely with cross-functional teams including Product/Program Managers, Software … Development Managers, Applied/Research/Data Scientists, and Software Developers Building dashboards, performing root cause analysis, and sharing actionable insights with stakeholders to enable data-informed decision making Leading reporting and analytics initiatives to drive data-informed decision making Designing, developing, and maintaining ETL processes and data visualization 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 ❯

role and Amazon's data obsessed culture. Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Amazon's new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper … complex historical datasets to uncover trends and present actionable insights through clear communications Support development teams in building analytics infrastructure for large-scale data analysis and machine learning deployment Transform data insights into concrete recommendations for business strategy and product development Develop key performance metrics and create business review … presentations using visualization tools Perform in-depth analysis using advanced SQL and Python programming Design and maintain data infrastructure, including ETL pipelines and cloud-based solutions Develop comprehensive documentation and training resources for self-service analytics tools BASIC QUALIFICATIONS Bachelor's degree in Computer Science, Engineering, Mathematics, or related 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 ❯

data-driven recommendations to drive topline growth and to improve profitability. Develop an understanding of key business metrics/KPIs and providing clear, compelling analysis that shapes the direction of our business. A day in the life BASIC QUALIFICATIONS 5+ years of SQL experience Experience in programming to extract … communicating results to senior leadership PREFERRED QUALIFICATIONS Experience in scripting for automation (e.g. Python) Experience with theory and practice of design of experiments and statistical analysis of results BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle, 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 (Python) to process data for modeling PREFERRED QUALIFICATIONS 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 … Computing (e.g. Apache Spark, Kubernetes, Databricks), Cloud Engineering (AWS, GCP, Azure), Spatial Query Optimisation, Data Storytelling with (Jupyter) Notebooks, Graph Computing, Microservices Architectures Modelling & Statistical Analysis experience, ideally customer related A university degree - numbers based, Computer Science or Geography Relevant industry sector knowledge ideal but not essential A 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 ❯

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 … and drive innovation. Align experiments to answer business and product-centered questions, ensuring a clear understanding of the objectives and desired outcomes. Understand 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 ❯

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 ❯

analytical solutions to business problems that utilize the highest standards of analytical rigor and data integrity • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation • Write high quality code to retrieve and analyze data • Analyze and solve business problems at … the management of our transportation network, while also supporting in the scaling of the business. We partner with stakeholders from transportation to retail, leveraging statistical and ML model to upgrade our internal technology. BASIC QUALIFICATIONS - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with 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 More ❯

with scalable development practices in scripting, data extraction and data visualization Triangulate data from multiple sources to ensure data fidelity Responsible for deep-dive analysis on key metrics Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life: Solve … defined inputs and outputs; drive to the heart of the problem and identify root causes Have the capability to handle large data sets in analysis Derive recommendations from analysis Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis … or related analytical field experience PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

goals to enhance advertiser experience and deliver multi-million dollar savings by building algorithms to detect and mitigate invalid traffic. Use machine learning and statistical techniques to create new, scalable solutions for invalid traffic filtering. Drive core business analytics and data science explorations to inform key business decisions and … of hands-on experience in big data, machine learning and predictive modeling. 3+ year people management and cross department functional experience. Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical More ❯

supply chain by influencing right tradeoffs among cost, speed and network capacity utilization. FBA Product Analytics team is looking for an individual with excellent analysis and statistical skills, deep knowledge of business intelligence solutions, and the ability to work with product development, and business teams. The successful candidate … passion for data and analytics, be a self-starter comfortable with ambiguity, with strong attention to detail. Key job responsibilities Develop business metrics and analysis to inform product strategy and influence key strategic initiatives. Develop clear communications for recommended actions. Establish self-service automated reporting processes for tracking and … diving deep into the data. Partner with data engineers to establish new data pipelines and document logic for business metrics. Use machine learning and statistical techniques to infer impact of product and policy decisions on business outcomes. A day in the life As a Business Intelligence Engineer, you will 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 ❯

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 ❯

Job Title: Junior RWE Statistician/Statistical Programmer Location: Spain (Remote) Job Type: Full-time About the Role We are looking for a Junior RWE Statistician/Statistical Programmer to join a dynamic and growing team. This is an exciting opportunity for an early-career professional with a … decision-making. Key Responsibilities: Assist in the design, execution, and interpretation of real-world evidence studies, including observational research and health outcomes analyses. Perform statistical programming and data analysis using SAS. Support the development of statistical methodologies and study protocols. Conduct data cleaning, transformation, and quality control … degree or PhD in Biostatistics, Statistics, Epidemiology, or a related field. Minimum of 2 years industry experience Experience or coursework in real-world data analysis (e.g., claims data, electronic health records, registries). Proficiency in SAS for statistical analysis and data manipulation. Knowledge of biostatistics, epidemiological methods More ❯

the company's DNA. Amazon Seller Services is looking for a Data Scientist to work hands on from concept to delivery on generative AI, statistical analysis, prescriptive and predictive analysis, and machine learning implementation projects. We are looking for a problem solver with strong analytical skills and … and setting up disparate data from enterprise systems. Key Job Responsibilities Ability to understand a business problem and the available data and identify what statistical or ML techniques can be applied to answer a business question. Given a business problem, estimate solution feasibility and potential approaches based on available … teams where needed to facilitate permissions and acquisition of required data. Quickly prototype solutions and build models to test feasibility of solution approach. Build statistical models/ML models, train and test them to drive towards the optimal level of model performance. Improve existing processes with development and implementation More ❯

data solutions, generate automatic insights and leverage anomaly detection tools/technologies which will help to deliver the best prices to our customers. Data analysis is at the core of Amazon's culture, and your work will have a direct impact on decision making and strategy for our team. … and self-service ability by stakeholders. - Improving back-end data sources for increased accuracy and simplicity. - Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. - Supporting business with time-critical tactical data analyses. - Understanding a broad range of Amazon's … 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 with AWS technologies - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience in More ❯

The provided job description needs better formatting for clarity and readability. Here's a refined version using appropriate HTML tags: Job Requirements Business analysis: Conducting statistical analysis such as time series, A/B testing, and multivariate tests. Data visualisation: Creating business presentations and dashboards. Commercial product … analysis: Experience in analyzing commercial products. Data engineering: Pulling data from databases, joining multiple sources, and aggregating data for extraction, preferably using SQL; Python skills are a plus. Since data preparation accounts for approximately 25% of the role, a technical background and comfort with data activities are essential. Technical More ❯

across equity markets, products, structuring, and data analytics to help facilitate equity-based transactions and identify market opportunities. The team performs quantitative and other analysis, working with tools, models and financial markets data and collaborates with Sales, Trading, Technology and other areas of the firm, and with clients. YOUR … will apply a variety of technical and professional skills to analyze equity markets and client portfolios and turn research into commercial impact. Combining fundamental analysis, data analysis, macro research and factor models, you will provide insight to assess portfolio inefficiencies and market opportunities. You should have an interest … in Equity Macro, using rigorous statistical analysis on financial market data, and communicate results in a clear and actionable way. Clients, as well as Sales and Trading, will use your analysis to inform their views of the market and what is driving it. 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. BASIC QUALIFICATIONS 3+ years of analyzing and interpreting data with Redshift, Oracle … 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 ❯