1 to 25 of 129 Statistical Analysis Jobs in London

for collecting, organizing, and analyzing financial data to provide insights and support decision-making within the organization. The ideal candidate should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

model improvements, uncover key insights, and shape the future of our products, including the state-of-the-art Ultralytics YOLO models and Ultralytics HUB. Key responsibilities include: Performing deep statistical analysis on model performance across various benchmarks and datasets to identify areas for improvement. Designing and implementing advanced data augmentation strategies to enhance model robustness and generalization. Analyzing … engineering team to refine model training and evaluation pipelines, ensuring data quality and integrity. Developing and maintaining dashboards and reports to communicate key performance metrics to stakeholders. Automating data analysis and reporting workflows using Python scripting and CI/CD tools like GitHub Actions. Staying current with the latest research in deep learning and statistical analysis to … Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision tasks and concepts, with direct experience working with YOLO models being a major plus. Experience with large More ❯

Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project/study standards and specifications following internal … and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines. About the Role Our Development Team is guided by our purpose: to reimagine medicine to improve and extend people's lives. To do this, we are optimizing and strengthening our processes and ways of working. We are investing in new technologies and building specific therapeutic area … and help give people with disease and their families a brighter future to look forward to. Apply today and welcome to where we thrive together! The Role The Principal Statistical Programmer is responsible for all statistical programming aspects of a large/pivotal study, several studies or project-level activities (incl. submission activities). The position is a More ❯

We are in search of a Senior Principal Statistical Programmer, with expertise in HTA and Pricing and Reimbursement activities. This role offers the chance to provide statistical programming solutions to HTA problems. The successful candidate will work closely with International Value & Access and HEOR teams to shape ways of working for Joint Clinical Assessment in Europe to ensure … high-quality deliverables. The Senior Principal Statistical Programmer will be responsible for all statistical programming aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high-quality deliverables. Complies with project/study standards … and specifications following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting & compliance with timelines. About the Role Key requirements Lead statistical programming activities for a medium to large sized project in phase I to IV clinical studies in Novartis Global Development Organization. Co-ordinate activities of programmers either internally or externally. Make statistical programming More ❯

fraud, not customers. See what others can't at What you'll achieve: As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Essential Duties Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence … in the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and More ❯

as well as government agencies 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 field data and a variety of testing techniques. The work involves both the engineering 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 of some of the interesting and important computer-based systems in More ❯

as well as government agencies 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 field data and a variety of testing techniques. The work involves both the engineering 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 of some of the interesting and important computer-based systems in More ❯

Contract Data Analyst - Specialist in Behavioural & Statistical Analytics Location : Hybrid - Reading & London Day Rate : £450-£500 Outside IR35 Contract Length : 3-6 Months Start : ASAP A leading research and data-driven organisation is looking for a Specialist Data Analyst to join their behavioural insights function. This is not a junior or generalist role - they are seeking someone with deep … hands-on expertise in statistical analysis and behavioural analytics to support large-scale, human-centred research work. You'll play a pivotal role in uncovering complex patterns in behavioural data and translating them into meaningful insight. Key Responsibilities Lead sophisticated statistical analysis of large behavioural and marketing datasets (e.g. regression modelling, clustering, distributions). Apply behavioural … analytics frameworks to identify, explain, and visualise user trends and profile patterns. Use Python and SQL to automate analysis, build tools, and process complex datasets. Support research teams with data validation, insight generation, and hypothesis testing. Collaborate through in-person whiteboarding and analysis sessions in Reading and London. Essential Expertise Specialist-level experience in applied statistics - including modelling More ❯

various stakeholders to ensure financial crime health and efficiency. Involvement in the planning/design and configuration of data within system workflows and lineage across the enterprise. Key Responsibilities: Analysis and Modelling: Lead KYC data analysis efforts to identify trends, gaps and develop a reporting cadence to support decision-making and risk monitoring.Provide recommendations to business leaders for … program.Prepare clear and concise financial crime reports, presentations, and dashboards for both technical and non-technical audiences Data Mining Skills: Data Preprocessing: Skills in cleaning and preparing data for analysis, including handling missing values and outliers Pattern Recognition: Ability to identify trends, patterns and anomalies in large datasets Data Warehousing : Knowledge of data warehousing concepts and tools for storing … levels and across multiple lines of business Strong work ethic and flexibility to work extended hours to meet deadlines when necessary Exceptional attention to detail: Ensuring accuracy in data analysis and reporting Statistical Analysis: Understanding statistical methods and techniques to analyst data effectively Proficiency in tools like Tableau, Power BI, or Excel to create visual representations More ❯

various stakeholders to ensure financial crime health and efficiency. Involvement in the planning/design and configuration of data within system workflows and lineage across the enterprise. Key Responsibilities: Analysis and Modelling: Lead KYC data analysis efforts to identify trends, gaps and develop a reporting cadence to support decision-making and risk monitoring.Provide recommendations to business leaders for … program.Prepare clear and concise financial crime reports, presentations, and dashboards for both technical and non-technical audiences Data Mining Skills: Data Preprocessing: Skills in cleaning and preparing data for analysis, including handling missing values and outliers Pattern Recognition: Ability to identify trends, patterns and anomalies in large datasets Data Warehousing : Knowledge of data warehousing concepts and tools for storing … levels and across multiple lines of business Strong work ethic and flexibility to work extended hours to meet deadlines when necessary Exceptional attention to detail: Ensuring accuracy in data analysis and reporting Statistical Analysis: Understanding statistical methods and techniques to analyst data effectively Proficiency in tools like Tableau, Power BI, or Excel to create visual representations More ❯

Principal, Statistical Programmer page is loaded Principal, Statistical Programmer Apply remote type: Remote locations: Europe-Remote, London-Remote; time type: Full time; posted on: Posted Yesterday; job requisition id: JR000430 Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you. Join our … ideas are explored with an open mind, driven by our shared values: be courageous, be accountable, be honest, be inclusive, and elevate others. Job Description Summary Support and lead statistical programming activities on client clinical projects, including complex projects, producing high-quality deliverables on time and following relevant SOPs. Job Description Role The Principal Statistical Programmer will support … and lead statistical programming activities on client clinical projects, including complex projects. They will produce high-quality deliverables within agreed timelines and follow SOPs. Additionally, they will support effective deployment of project resources and contribute to maintaining an efficient statistical programming department. Key Responsibilities Lead statistical programming activities on clinical projects, including complex projects. Support the identification More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

Wealth Fund, is looking to hire a Manager into their Factor & Index Equities team, to focus on Quantitative Research specialising on Factor & Index strategies Responsibilities: Conduct quantitative research and analysis to develop financial models and identify investment opportunities Perform statistical analysis on financial data to identify trends, correlations, and patterns that will provide actionable insights for investment … strategies Prepare, analyse, and interpret advanced quantitative and statistical analysis such as factor and style reports Requirements: 12+ years' of experience in Quantitative Research/Strategies, preferably from a Global Asset Manager or Institutional Investors such as Pension Funds, SWFs or Endowments Programming skills: Python for quantitative analysis and modelling More ❯

following international standards and GCP. The DMS Operations sub-function is responsible for the efficient and effective delivery of complete, correct, and consistently fit-for-purpose data sets for statistical analysis across all clinical development and post-approval programs. The team brings a focus on process improvement through innovation and the application of best practices to the oversight … including protocol review, eCRF development, Data Management Plan development, Data Validation Plan development, reconciliations, and the delivery of complete, correct, and consistently fit-for-purpose study data sets for statistical analysis. The Associate Director may also act as Process Improvement/Departmental Initiative Lead , as needed. KEY RESPONSIBILITIES: DMS Operations Associate Director may perform a range of the following … appropriate project management activities, such as kick off meetings, timelines, other relevant communications Conduct protocol review and raise any data collection considerations affecting data quality, reliability, or suitability for statistical analysis Define Case Report Form (eCRF) in concise, self-explanatory, and user-friendly format. Collaborate with study team colleagues to ensure eCRF completion guidelines/instruction are accurate More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

workflow, improve claims management and support better customer experiences. We also provide a fraud detection service across multiple perils and lines of business. Using intel processing, real-time fraud analysis and image forensics we help detect fraud at every stage of the claim and manage cases more effectively. Role Purpose Verisk are looking for a Data Scientist to support … International Analytics Team is a dynamic and exciting place to work: our projects are extremely varied and include developing supervised machine learning models, unsupervisedclustering type models, language modelling, network analysis and a variety of other statistical analysis methods. The successful candidate(s) will be at an early stage in their career.You will have the opportunity to play … for claims and underwriting Support a high-performance collaborative culture. Participate in peer-review with colleagues where appropriate to learn, teach, and ultimately, produce high quality results. Execute data analysis and exploratory analysis (project design, processing of and cleaning of data, merging/joining disparate data sources, feature engineering, performing analyses and communicating results). Produce models using More ❯

normalization, market and product data to support biopharma commercial product launches, and complex quant and qual research projects. This role is also responsible for GenerativeAI product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/… data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new analytics capabilities. Articulate advanced … statistical and data science modelling features into (software) product requirements. Work as an integrated effective team member of a software development process. Qualifications Strong degree (2:1) in any analytics related field (e.g. statistics, mathematics, physics, engineering) subject and/or professional qualification. 5+ years' experience in research or professional data science-driven services organization 5 years' experience in More ❯