26 to 50 of 207 Statistical Analysis Jobs in London

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 ❯

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) 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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected 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 ❯

who are ready to help push the boundaries of science and make a tangible difference in the world. Proclinical is seeking a Director of Statistical Programming - Technical Solutions to lead the development and implementation of innovative programming standards and solutions. This role focuses on enhancing efficiency and quality in … statistical analysis and reporting within the oncology and pharmaceutical sectors. You will work closely with various teams to ensure alignment with company goals and regulatory requirements. Responsibilities: Collaborate with the Head of Statistical Programming to implement a global statistical programming ecosystem. Provide strategic direction for vendor … oversight, technology innovation, automation, and process standardization. Lead the design, implementation, and maintenance of statistical computing environments to support clinical trials. Ensure infrastructure scalability, security, and compliance with regulatory standards. Develop and standardize reusable macros, scripts, and automation pipelines. Establish governance frameworks for code quality, version control, and documentation. More ❯

who are ready to help push the boundaries of science and make a tangible difference in the world. Proclinical is seeking a Director of Statistical Programming - Technical Solutions to lead the development and implementation of innovative programming standards and solutions. This role focuses on enhancing efficiency and quality in … statistical analysis and reporting within the oncology and pharmaceutical sectors. You will work closely with various teams to ensure alignment with company goals and regulatory requirements. Responsibilities: Collaborate with the Head of Statistical Programming to implement a global statistical programming ecosystem. Provide strategic direction for vendor … oversight, technology innovation, automation, and process standardization. Lead the design, implementation, and maintenance of statistical computing environments to support clinical trials. Ensure infrastructure scalability, security, and compliance with regulatory standards. Develop and standardize reusable macros, scripts, and automation pipelines. Establish governance frameworks for code quality, version control, and documentation. More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and More ❯

Data Analyst to join their growing team. This is an exciting opportunity to play a key role in driving business decisions through insightful data analysis within a dynamic and fast-paced environment. Our client is a successful online retailer with ambitious growth plans. They pride themselves on their customer … and translate them into data-driven solutions. Key Responsibilities: Gathering and cleaning data from various sources, ensuring data integrity and accuracy. Performing exploratory data analysis to identify trends, patterns, and anomalies. Developing and maintaining regular and ad-hoc reports and dashboards using data visualisation tools (e.g., Tableau, Power BI … . Conducting in-depth analysis on customer behaviour, website performance, marketing campaigns, and sales data. Providing actionable insights and recommendations to stakeholders to improve business outcomes. Collaborating with different teams to understand their data requirements and provide relevant analysis. Contributing to the development and improvement of data collection and 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 ❯

to track key performance indicators (KPIs), build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders … based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker … of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Package Description Our benefits package increases the longer you've been with us. Here's what to expect More ❯

promise capabilities. You will collaborate with Supply Chain and Delivery Experience teams to optimize network speed and enhance customer experience. The role involves data analysis, statistics, machine learning, and usage of AWS services. We are looking for someone who thrives in a fast-paced environment, demonstrates strong project management … Your ability to understand complex business problems and translate them into analytical solutions will be crucial for success in this role. We conduct new analysis from ground up, proposing new concepts and technology to meet business needs, and need BIEs who enjoy and excel at diving into data to … 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 business team you have the opportunity More ❯

bringing rebel thinking to life. JOB RESPONSIBILITIES Devise Health Economics and Outcomes (HEOR) research projects, including burden of illness studies, economic evaluations, budget impact analysis, impact assessments, and market access strategies. Support on Market Access and Commercial Strategy projects as it relates to HEOR. Ensure effective project management from … conception to completion, overseeing multiple projects simultaneously. Oversee and support health economic modelling (e.g., cost-effectiveness analysis, budget impact analysis) using Excel, R, Python or other relevant software. Validate and calibrate models for accuracy and reliability, implementing them to analyse healthcare interventions, policies, and strategies. Perform regression analyses … or other EU agencies. Familiarity with Health Technology Assessment (HTA) processes. Experience with model design, early scientific advice, indirect treatment comparisons (ITCs) (network meta-analysis and MAIC) and other evidence sources. Ability to support the execution of multiple complex projects at once within a diverse remote team environment, to More ❯

to enhance our systems, products and processes. Our team: Sustainable Finance data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify … knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate climate risk and opportunity analysis into their workflows. We'll trust you to: Own the data coverage, quality, and content curation of complex Climate Data to support the use … purpose for clients and aligned with Bloomberg's data model strategy, using your subject matter expertise in climate topics. Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our processes/overall product strategy. Profile, measure, and manage data to More ❯

to enhance our systems, products and processes. Our team: Sustainable Finance data is increasingly crucial for our clients - providing deeper intelligence than conventional financial analysis alone. Climate change, regulatory pressures, the importance of human capital, and diversity are just a few critical factors global investors consider to best identify … knowledge, learn about our clients and their needs, and build relationships throughout the company, all while helping our clients integrate climate risk and opportunity analysis into their workflows. We'll trust you to: Own the data coverage, quality, and content curation of complex Climate Data to support the use … purpose for clients and aligned with Bloomberg's data model strategy, using your subject matter expertise in climate topics. Apply problem-solving and data analysis skills to identify innovative workflow efficiencies and implement technology solutions to enhance our processes/overall product strategy. Profile, measure, and manage data to More ❯

highly visible role, you will work directly with senior leaders, C-suite executives, and external clients to address complex business challenges through advanced quantitative analysis and research. Your insights will play a critical role in shaping strategic decisions and enhancing data-driven solutions across the organisation. Your Responsibilities Develop … implement and optimise in-house statistical models, frameworks, and tools across 360T's entire product suite (360TGTX, SUN, Market Data, RFS, SuperSonic Trader) Grow the quantitative analytics capabilities of 360T's new data analytics platform, 360T Vantage, for buy and sell-side clients including predictive and recommendation systems Collaborate … bodies Proactively share knowledge and promote best data practices with internal colleagues Mentor junior team members Your Profile Mandatory: around 3+ years in quantitative analysis on the buy- or sell-side with a sound understanding of FX market structure, trading strategies and risk management principles Experienced with time-series More ❯

UK Branch) Shape the future of online shopping through data-driven insights! Join our EU Hardlines analytics team where you'll combine Customer Experience analysis with Item Data Quality innovation to improve how millions discover and shop for products. We're expanding our analytics charter into exciting new territory … class tools to build automation solutions that transform how teams work, while collaborating with product teams across Europe to turn insights into action. Your analysis and recommendations will influence strategic decisions and drive real improvements to the shopping experience. If you're passionate about turning complex data into clear … time visibility into CX & IDQ performance, enabling data-driven decisions across EU markets. Partner with cross-functional teams to identify improvement opportunities through data analysis and experimentation. Drive improvements in product data quality by identifying gaps through automated monitoring and analytical deep dives. Present complex analytical findings to senior More ❯

annually, based on experience and qualifications. About the job: We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior on our gambling platforms, providing … to stakeholders in a clear and concise manner. Requirements: Master's or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse … phase to product delivery. What will make you stand out: Experience working in an analytics role in the gambling industry. Experience with CRM data analysis and customer segmentation. Knowledge of TensorFlow/PyTorch. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery. More ❯

multi-domain/process expertise in day to day activities and own end to end roadmap. Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. Define analytical approach; review and vet analytical approach with stakeholders. Proactively and independently work with stakeholders … 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 through the use of additional tools. Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes. Understand … the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing. Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved. Communicate complex analytical insights and business implications effectively. About the team AOP (Analytics Operations and Programs More ❯

pandas, and numpy (or equivalents). Data preprocessing - working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data visualisation - using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis - understanding More ❯

pandas, and numpy (or equivalents). Data preprocessing – working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data visualisation – using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis – understanding More ❯

pandas, and numpy (or equivalents). Data preprocessing – working with large untidy datasets and the ability to clean and transform data in preparation for analysis or modelling. Data visualisation – using tools like Power BI, Tableau, or libraries like Matplotlib or Seaborn to tell stories. Statistical analysis – understanding More ❯

the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and … equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work … problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as More ❯

the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and … equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work … problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as More ❯

the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and … equity investors, and analysis that ensures funding facility performance triggers and concentration limits are set appropriately. Providing credit risk expertise to multi-disciplinary projects within the wider team and business stakeholders. Setting and managing the agenda for your team aligned to the broader business strategy. Effectively managing the work … problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as More ❯