1 to 25 of 27 Statistical Analysis Jobs in Central London

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 ❯

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 ❯

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 ❯

skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics … get involved in company-wide initiatives and developments; and contribute to internal and external meetings with ideas and suggestions. You must: have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data; have excellent communication skills and can easily and clearly explain complex concepts in plain English; have experience leading … what makes people, consumers and businesses tick; Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression; Technical must-haves: You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice More ❯

skills and deep understanding of Data Science and Analytics will be key in uncovering valuable insights to guide clients' decisions. You'll rely on your solid skills in data analysis, machine learning, and statistical modelling to lead smaller projects and contribute to larger ones. Moving beyond purely technical work, you'll start to manage people and lead analytics … get involved in company-wide initiatives and developments; and contribute to internal and external meetings with ideas and suggestions. You must: have at least 3-5 years’ experience running statistical analysis on a range of data sources, especially survey data; have excellent communication skills and can easily and clearly explain complex concepts in plain English; have experience leading … what makes people, consumers and businesses tick; Technically, you are comfortable with supervised and unsupervised methods such as clustering and regression; Technical must-haves: You have experience in Conjoint analysis, either using the Sawtooth suite of programmes or otherwise; You have experience running Segmentation projects using different clustering methods; You are expert with R and/or Python; Nice 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 ❯

the drive to continuously improve processes. Bonus points for: Previous experience in business services or financial technology (FinTech), especially in areas like compliance, payments, or SaaS metrics. Exposure to statistical analysis or experimentation (A/B testing, cohort analysis, etc.). Familiarity with data pipeline tools (e.g., Airflow) and modern data stack concepts. Why join us Unique 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 ❯

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 ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

will see you join the UK marketing and growth function while also being part of a global data and analytics team. You’ll be responsible for delivering high-quality analysis that drives commercial decision-making—working on everything from campaign evaluation and customer behaviour analysis to dashboard development and KPI tracking. Around 60% of your work will be … The remaining 40% will involve contributing to global data products and best practices, working alongside international colleagues to create scalable, high-impact analytics solutions. Key Responsibilities Conduct deep-dive analysis into marketing performance, customer acquisition, retention, and lifetime value. Evaluate campaign and promotional impact, assessing both short- and long-term revenue and retention effects. Extract, manipulate, and join data … commerce environments. Advanced SQL skills and experience with data visualisation tools. Experience of using dbt is a nice to have. Strong grasp of marketing metrics and ability to apply statistical analysis appropriately. Skilled in turning complex data into clear, commercially relevant insights for non-technical audiences. Proactive, self-sufficient, and comfortable managing end-to-end analysis projects. More ❯

or pharma/life sciences. You will work will directly influence compensation strategies that align with the fast-paced, innovative culture of the sector. What the role involves: Data Analysis & Insights – Utilise data analytics to build market compensation trends within each sector. Translate large datasets into actionable insights and providing clients with a clear understanding of their market positioning. … consulting with a focus on data advisory and benchmarking for the professional services, retail, manufacturing, tech, pharma/life sciences industries Strong analytical skills with proficiency in data modelling, statistical analysis and Excel. In-depth knowledge of compensation practices. Excellent communication and presentation skills, with the ability to translate data insights into actionable recommendations. Experience could be from More ❯

systems in a fast-paced front-office environment. Key Responsibilities: Design and develop real-time KDB+ processes and APIs Build dashboards in Altair Panopticon to monitor trading algorithms Perform statistical analysis on market data and algorithm performance Support compliance monitoring and production releases Collaborate closely with traders and quant teams What You’ll Bring: Deep experience with Q More ❯

Business Insight & Visualization Partner with business units to understand investment management data needs and deliver impactful analytics solutions. Collect, analyze, and interpret large datasets using SQL and advanced data analysis techniques. Design and develop dashboards and reports in Tableau and Power BI to communicate insights clearly to stakeholders. Create data-driven recommendations to enhance portfolio management, risk assessment, and … and visualization best practices. Manage analytics roadmaps and prioritize projects that deliver high business impact. Skills & Qualifications: Technical Skills: Tableau, Power BI, SQL, advanced Excel, data modeling, data transformation, statistical analysis. Domain Expertise: deep understanding of the asset management industry, investment operations business model, and investment process, data, and systems flow. Able to help shape a vision for transforming More ❯

Business Insight & Visualization Partner with business units to understand investment management data needs and deliver impactful analytics solutions. Collect, analyze, and interpret large datasets using SQL and advanced data analysis techniques. Design and develop dashboards and reports in Tableau and Power BI to communicate insights clearly to stakeholders. Create data-driven recommendations to enhance portfolio management, risk assessment, and … and visualization best practices. Manage analytics roadmaps and prioritize projects that deliver high business impact. Skills & Qualifications: Technical Skills: Tableau, Power BI, SQL, advanced Excel, data modeling, data transformation, statistical analysis. Domain Expertise: deep understanding of the asset management industry, investment operations business model, and investment process, data, and systems flow. Able to help shape a vision for transforming More ❯

to both technical and non-technical audiences. Contribute to agile delivery workflows and cross-functional collaboration. What We’re Looking For Solid understanding of core data science techniques, including statistical analysis and machine learning. Proficiency in Python. Experience in working with structured and unstructured data, data cleaning, and transformation. Familiarity with model evaluation, performance metrics, and model deployment More ❯

recommend solutions independently. Successful experience working on multiple projects with competing deadlines. Proven relationship builder, including senior stakeholders. Ability to complete tasks accurately with strong attention to detail and statistical analysis. Excellent organisational and prioritisation skills. Our offer At Kantar Media we have an integrated way of rewarding our people based around a simple, clear, and consistent set of More ❯

recommend solutions independently. Successful experience working on multiple projects with competing deadlines. Proven relationship builder, including senior stakeholders. Ability to complete tasks accurately with strong attention to detail and statistical analysis. Excellent organisational and prioritisation skills. Our offer At Kantar Media we have an integrated way of rewarding our people based around a simple, clear, and consistent set of More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

competence in Applications, Operability, Integration, Data, Technology, Infrastructure, and Security architecture. Technical Skills: Experience of commercial integration of AI into Operational systems, or similar, featuring LLM, Transformer, ML & traditional statistical data driven software components. Proficiency in SaaS, API design, Azure/Kubernetes hosting, and Integration technologies. Experience in developing distributed/scalable systems and high-volume, low latency, transaction … including the application of LLM driven and Data Science DevOps/MLOps/AIOps methodologies. Expertise in data management and analytics, including data structures, data processing, data modelling, and statistical analysis. Knowledge of Python and C# for development and scripting. Leadership: Proven from-scratch creative solution development with incomplete requirements and multiple divergent opportunities, based on top-down and More ❯

predictive models, and drive data-led strategies that directly influence product and business decisions. What You’ll Be Doing: Designing and deploying predictive models, machine learning solutions, and advanced statistical analyses Executing end-to-end data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and ML techniques to identify insights from millions … or applied analytics role Proficiency in SQL and strong programming skills (Python, R, or similar) Hands-on experience with machine learning, predictive modelling, regression, hypothesis testing, and time-series analysis Ability to manage and deliver data projects independently as well as part of a team Strong communication skills for presenting technical insights to non-technical stakeholders Desirable (Not Essential More ❯