1 to 25 of 209 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 ❯

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 ❯

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 ❯

engineer to support the Inventory Optimization organization's analytic needs. This position will be part of the business analytics team responsible for building out analysis, visualization tools and processes for the FBA FIO businesses. The successful candidate will be able to retrieve, integrate, visualize and present critical data in … governance and stewardship for business critical metrics that influence technology investment decisions. Analyze and visualize transaction data to determine seller behaviors, and output solid analysis with recommendations. Create scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Lead projects from start to … finish including project management, data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations. Develop queries, statistical analysis, and visualizations for ad-hoc requests and projects, as well as ongoing reporting. BASIC QUALIFICATIONS - 3+ years of analyzing and interpreting data with Redshift, Oracle 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 ❯

making by senior leaders. Partner with stakeholders to gather requirements, integrate data sources, and develop analytics and reporting solutions. Demonstrate proficiency in SQL, data analysis, and data visualization tools to drive data-driven decision making. Dive deep into technical and operational details to resolve complex problems, coordinating with engineering … decision-making, including presenting results and recommendations. Collaborate with software development teams to implement analytics systems and data structures to support large-scale data analysis and reporting. Identify trends in metrics and segment them along suitable dimensions to reveal deeper dynamics. Provide actionable insights to senior leaders to inform … 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 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 ❯

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 ❯

click) is generated from a human user or bot (invalid) and the TQ Analytics team focuses on building key metrics and reporting, root cause analysis and critical stakeholder communications on changing trends and patterns for this area. The TQ Analytics team also focuses on building heuristic based models and … projects and always on the lookout to optimize the information flow process. You will collaborate with Scientists and Engineers to analyze trends and analyze statistical models that detect and filter IVT. Key Job Responsibilities Design, implement and support a scalable and reliable information model for storing, processing, analyzing and … every iteration to enable self-service by others on the team and to continuously expand on your ability to dive deep. Perform exploratory data analysis and apply statistical techniques to help Scientists build models that detect and filter IVT. Define and implement metrics that continuously evaluate models. Understand 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 ❯

and interpreting data with Redshift, Oracle, NoSQL etc. - 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) - Speak, write, and read fluently in English PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Experience applying … basic statistical methods (e.g. regression) to difficult business problems - Experience with statistical analysis, co-relation analysis - Experience with scripting language (e.g., Python, Java, or R) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

defects and automate manual processes. • Proficiency in one or more industry analytics visualization tools (e.g. Excel, Tableau/Quicksight/PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders. • Building and owning small to mid-size BI solutions with high accuracy … reports, dashboards, analyses or components of larger solutions to answer straightforward business questions with data incorporating business intelligence best practices, data management fundamentals, and analysis principles. • Good understanding of the relevant data lineage: including sources of data; how metrics are aggregated; and how the resulting business intelligence is consumed … basic data artifacts (e.g., ETL, data models, queries) - 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 applying basic statistical methods (e.g. regression) to 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 ❯

tools to identify suspicious activities, enhance fraud detection strategies, and support decision-making processes. Your new day-to-day will involve: • Fraud Detection and Analysis: o Analyse transaction data to identify patterns and trends indicative of fraudulent activities. o Investigate and monitor real-time transaction alerts to detect potential … to refine and optimize fraud detection systems. o Ensure that the company's financial practices comply with statutory regulations and legislation. • Data Management and Analysis: o Extract, clean, and manage large datasets using SQL and Python for in-depth analysis. o Utilize data analytics tools to track, analyse, and … related fields are a plus. • Minimum of 3-5 years of experience in a similar role, with a focus on fraud prevention and data analysis within Fintech or Banking. • Technical Skills: o Advanced SQL: Ability to write complex queries for extracting and analysing large datasets. o Python: Proficient in More ❯