1 to 25 of 64 Permanent Statistical Analysis Jobs in London

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and 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 ❯

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 ❯

the opportunity to work alongside our Data Science and Analytics teams and collaborate with product and engineering teams to work on Identity and Data Solutions products. This includes vendor analysis and onboarding, establishing statistical methodology and modeling standards and development. The ideal candidate is a self-starter comfortable working with large datasets and knowledgeable in statistical and … discovery phase for new and existing products/models. The primary areas include Identity and Data Solutions. Actively participate in the development and enhancement of our Identity Graph, utilizing statistical and machine learning techniques to improve accuracy. Drive the onboarding and validation of new data vendors, by establishing statistical methodologies and conducting comprehensive analysis to ensure new … performing analyses and producing summary results. Collaborate with cross-functional teams to deliver on broader project goals. Participate in developing methodologies, model validation, and maintenance and enhancement of existing statistical and machine learning models. Support evaluation and validation of both internal and external products to ensure Cint’s success. Communicate insights and recommendations through visualizations and presentations that will More ❯

Your deliverables will include development of thermal solutions, concept design, feature development, product architecture and system validation through to manufacturing release. You will support creative developments through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques. Key job responsibilities In this role, you will: - Evaluate and optimize thermal solution requirements of … consumer electronic products - Use simulation tools like Star CCM/FloTherm XT/EFD for analysis and design of products - Validate design modifications for thermal concerns using simulation and actual prototypes - Establish temperature thresholds for user comfort level and component level considering reliability requirements - Have intimate knowledge of various materials and heat spreaders solutions to resolve thermal issues - Use … of programming languages like Python and Matlab for analytical/statistical analyses and automation - Collaborate as part of device team to iterate and optimize design parameters of enclosures and structural parts to establish and deliver project performance objectives - Design and execute of tests using statistical tools to validate analytical models, identify risks and assess design margins - Create and More ❯

trust you to: Manage large and complex data projects related to climate datasets, with a particular focus on company specific GHG emissions and emissions reduction targets Have knowledge of statistical analysis and demonstrated applied data analysis skills, with proficiency using Excel Keep up to date with the evolving landscape of climate-related disclosure and conduct in-depth … analysis into upcoming disclosure requirements and standards globally Be able to translate these standards into data models and create mappings between them, reflecting their level interoperability. Serve as a subject matter expert to drive our deliverables and navigate across internal and external partner groups Apply subject-matter-expertise to support strategy development for engagement activities. Make strategic decisions under … or CAIA designation Experience with Python and SQL Familiarity with product development processes, having worked in close collaboration with product teams Experience using modern AI tools to support data analysis, automate workflows, and contribute to content creation and insight generation. Ability to read/write in a language other than English More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

Data Scientist – Quantitative Hybrid (3 days in London office) | Full-time | Permanent You need to have a core background in statistical analysis of survey data and experience of working in a research agency. An exciting opportunity has opened up at a fast-growing insight and strategy consultancy for an experienced Data Scientist to lead the development of their … on, strategic position reporting into a senior leader within the Quant team. You'll work across a mix of project delivery, innovation, and team development – helping shape everything from statistical capability to the company’s broader data vision. You’ll work on: Advanced analytics projects (segmentation, conjoint, MaxDiff, KDA, etc.) Processing large, complex datasets (e.g. transactional data, 1st-party … data, behavioural) Developing infrastructure and tooling for scalable analysis Expanding the use of AI, synthetic data and machine learning Collaborating with marketing to shape new, data-led propositions Upskilling team members in data science and statistical thinking Representing the agency externally in thought-leadership or event settings (optional) What You’ll Need 5+ years of data science experience More ❯

global HR business processes, including strategy development, service delivery, human capital management technologies, with ability to translate business needs into technology requirements Advanced expertise in people analytics, data visualization, statistical analysis, and predictive modelling for workforce insights, with experience leading HR data analytics teams and building capabilities within HR functions Experience working with enterprise HRIS platforms (Workday, SAP More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling: Experience with probabilistic programming (e.g., PyMC). Stakeholder Management: Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

non-technical audiences Work within a technically-minded team of data analysts, scientists and engineers Opportunity to learn more technical data skills; building predictive models, leveraging AI, clustering & segmentation, statistical analysis, data engineering etc What you'll bring: 2-3 years of professional experience in a data analytics or similar role. Strong SQL skills. Proficiency in Python is More ❯

work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams Familiar with financial market products and solid knowledge of the insurance/reinsurance industries Knowledge in statistical analysis and experience in processing large scale data sets Additional skills which are a plus: Working experience in various Cloud environments (e.g. AWS or Azure) Familiar with weather … and energy commodity markets, power and gas trading and data analysis Our company has a hybrid work model where the expectation is that you will be in the office three days per week. The base salary range for this position is between GBP 86,000 and GBP 128,000 (for a full-time role). The specific salary offered More ❯

contributions in the world of sports analytics. Key responsibilities for the role of Data Scientist include: Collect, clean, and process football-related data from various sources. Develop and implement statistical models and algorithms to analyze player performance and match outcomes. Create detailed reports and visualizations to communicate insights and recommendations to technical and non-technical stakeholders. Collaborate with football … Scientist, your background will include: 3+ yearsindustry experience in aData Sciencerole and a strong academic background Python Data Science Stack:Advanced proficiency inPython, includingpandas,NumPy,scikit-learn, andJupyter Notebooks. Statistical & ML Modelling:Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series … with football datasets (event, tracking, etc.) and visualization libraries likemplsoccer. Advanced MLOps & Modelling:Deeper experience with theVertex AIlifecycle (especiallyPipelines) and advanced modelling techniques relevant to football (player valuation, tactical analysis). Bayesian Modelling:Experience with probabilistic programming (e.g., PyMC). Stakeholder Management:Proven success working directly with business stakeholders to define and deliver impactful solutions. What They Offer Work More ❯

AI. Craft Compelling Narratives: Develop engaging presentations and board papers that articulate complex insights in a clear and compelling manner, guiding senior client leadership in decision-making. Conduct Data Analysis: Analyse data sets to derive meaningful insights that support strategic decision-making for clients, utilising data visualisation tools and techniques to present findings effectively. Lead Impactful Discussions: Facilitate workshops … Collaboration and Data & AI Tools: Demonstrate knowledge of storytelling tools, collaboration tools to support workshops as well and foundational data and AI tools, such as data visualization and basic statistical analysis tools, to support client engagements and project deliverables. Stakeholder Management Skills: Proven ability to engage effectively with senior management and stakeholders, fostering strong relationships and facilitating productive … ensuring alignment with organizational objectives and fostering a Data & AI-driven culture. Business Cases: Crafting business cases that articulate the ROI of Data and AI initiatives, supported by market analysis and stakeholder insights. Data & AI Product Design: Creating user-centric data products and AI solutions that facilitate informed decision-making, including dashboards and analytical tools. What's in it More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

growing, with excellent visibility across the business and a genuine appetite for data innovation. Key Responsibilities Optimise existing yield and matching models for better consistency and forecasting performance. Use statistical analysis to uncover trends in historical trading data and recommend actionable improvements. Build and deploy scalable data science solutions that drive measurable business impact. Collaborate with developers and … and experience working with SQL and data visualisation tools such as Power BI. Familiarity with cloud platforms such as AWS, Redshift, or Azure. Strong grasp of forecasting, optimisation, and statistical modelling techniques. Confident communicator who can translate technical outputs into business recomme ndations. Comfortable working in agile, iterative environments with cross-functional teams. Please Note: Unfortunately, this role does More ❯

trends, technologies, and best practices. BASIC QUALIFICATIONS - 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 in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯

engineering, model training, deployment, and monitoring. Deep understanding of MLOps best practices, including CI/CD for ML, model versioning, experiment tracking, and reproducibility. Experience with tools used for statistical analysis, predictive modeling, and AI/ML development. Familiarity with data governance, security best practices, and compliance regulations. A track record of driving strategic initiatives and engineering standardization More ❯

in the context of a Cost management system configuration; database management, scripting, system integration, reporting tools, cloud computing, networking, system administration, security, performance tuning, and information retention. Perform routine analysis, and control activities, as directed Support the implementation of cost monitoring and control standards, techniques, systems, and reports Assist with baseline allocation and reporting/cost control for specific … Coordinate the development and accuracy of cost reports Verify consistency with previous reports to ensure compatibility and consistency Collect and classify cost data Prepare cost studies using historical data, statistical analysis, and cost and quantity comparisons Knowledge, Skills, Qualifications, Experience: Essential: All items detailed above. Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or … usage, security or other areas Experience working with other team such as, Finance, Data management and IT Highly proficient in Microsoft Office tools particularly Excel to aid in system analysis Experience of working within multiple Project Controls Functions of: cost control, estimating, scheduling, change management and risk management. User of a range of reporting and analytics software and project More ❯

in the context of a Cost management system configuration; database management, scripting, system integration, reporting tools, cloud computing, networking, system administration, security, performance tuning, and information retention. Perform routine analysis, and control activities, as directed Support the implementation of cost monitoring and control standards, techniques, systems, and reports Assist with baseline allocation and reporting/cost control for specific … Coordinate the development and accuracy of cost reports Verify consistency with previous reports to ensure compatibility and consistency Collect and classify cost data Prepare cost studies using historical data, statistical analysis, and cost and quantity comparisons Knowledge, Skills, Qualifications, Experience: Essential: All items detailed above. Degree or equivalent qualification in business analysis, accounting, finance, construction, engineering or … usage, security or other areas Experience working with other team such as, Finance, Data management and IT Highly proficient in Microsoft Office tools particularly Excel to aid in system analysis Experience of working within multiple Project Controls Functions of: cost control, estimating, scheduling, change management and risk management. User of a range of reporting and analytics software and project More ❯