20 of 20 Permanent Statistical Analysis Jobs in the City of London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery and trusted client relationships, this is an opportunity to take ownership of analytics across high-profile … lead for one of the consultancy’s largest clients, owning end-to-end delivery of analytics and presenting recommendations directly to senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences … internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign performance metrics Proven ability to own projects More ❯

marketing analytics strategies that drive performance. They work at the intersection of data, digital, and marketing, helping clients optimise campaigns, personalise customer journeys, and improve marketing effectiveness through advanced statistical modelling and data-led insights. With a strong reputation for high-impact delivery and trusted client relationships, this is an opportunity to take ownership of analytics across high-profile … lead for one of the consultancy’s largest clients, owning end-to-end delivery of analytics and presenting recommendations directly to senior stakeholders, including CMOs. Key responsibilities include: Leading statistical analysis across products, campaigns, and digital channels Building attribution models, MMM, clustering, and segmentation using SQL and Python Translating complex data into clear, actionable insights for senior audiences … internal delivery teams Supporting data quality checks and analytics implementation Your Skills 2–4+ years’ experience in digital or marketing analytics Hands-on expertise with SQL and Python for statistical modelling (clustering, MMM, propensity) Confident communicator, comfortable presenting to senior stakeholders and large groups Strong understanding of digital marketing KPIs and campaign performance metrics Proven ability to own 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 ❯

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 ❯

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 ❯

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 ❯

of customers. The Role They are seeking a Senior Data Analytics Advisor to join the analytics function on a 12-month fixed-term contract. The role blends hands-on analysis with significant stakeholder engagement, supporting a wide range of projects from market forecasting and policy development to diversity and inclusion reporting. You’ll be responsible for collecting, analysing, and … your technical and communication skills. Key Responsibilities Data Collection & Management – Gather and validate data from member firms, surveys, and third-party sources (e.g., market research, ONS, financial reports). Analysis & Insight – Use Excel and SQL to analyse data, identify trends, and generate actionable insights for both internal and external stakeholders. Reporting & Visualisation – Build clear, compelling dashboards and reports in … insights from both internal and external data sources. Excellent communication and stakeholder management skills. Nice-to-haves: Background in insurance, financial services, or market research. Experience with Python for statistical analysis. Advanced Power BI skills. More ❯

of customers. The Role They are seeking a Senior Data Analytics Advisor to join the analytics function on a 12-month fixed-term contract. The role blends hands-on analysis with significant stakeholder engagement, supporting a wide range of projects from market forecasting and policy development to diversity and inclusion reporting. You’ll be responsible for collecting, analysing, and … your technical and communication skills. Key Responsibilities Data Collection & Management – Gather and validate data from member firms, surveys, and third-party sources (e.g., market research, ONS, financial reports). Analysis & Insight – Use Excel and SQL to analyse data, identify trends, and generate actionable insights for both internal and external stakeholders. Reporting & Visualisation – Build clear, compelling dashboards and reports in … insights from both internal and external data sources. Excellent communication and stakeholder management skills. Nice-to-haves: Background in insurance, financial services, or market research. Experience with Python for statistical analysis. Advanced Power BI skills. More ❯