76 to 100 of 207 Statistical Analysis Jobs in the UK

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing More ❯

warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ years in a customer-facing consulting or professional services role Strong understanding of data warehousing 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 ❯

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 ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

of a Senior Performance Analyst and work within a multi-disciplinary team. Key Responsibilities: Lead the development of performance measurement frameworks and meaningful KPIs. Apply quantitative and qualitative data analysis to drive service improvement. Work closely with stakeholders, user researchers, and service teams to deliver actionable insights. Communicate analysis clearly using appropriate formats and tailored messaging for varied … cleansing of data. Use Power BI, Google Analytics, Looker Studio, and Azure Data Services to build dashboards and performance reports. Leverage BigQuery and Google Tag Manager for advanced data analysis, tracking, and reporting. Ensure compliance with digital service standards and accessibility principles. Essential Skills and Experience: Demonstrated 5+ years of experience working within performance analysis or similar roles. … Strong technical capability in: Microsoft Power BI Microsoft Azure Data Services Google Analytics, Google Tag Manager, BigQuery, Looker Studio Statistical analysis, hypothesis testing, and significance evaluation Experience in designing and implementing performance frameworks and KPIs. Skilled in user-centred analysis, translating user research and behaviour into strategic insight. Excellent communication skills with the ability to present complex More ❯

Customer Experience problems while partnering with research scientists, software developers, and business leaders. With the focus on driving real impact on Amazon's long-term profitability, we build new analysis from ground up, proposing new concepts and technology to meet business needs. We need strong BIEs who enjoy and excel at diving into data, analyzing root causes, defining long … with different stakeholders to drive improvements over time. You will also work closely with internal business teams to extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways. As a BIE embedded in the product team you have the opportunity to participate and shape product … leverage your technical skills. This position provides opportunities to influence high visibility/high impact areas in the organization. A day in the life - You will perform complex data analysis (root cause deep dives, correlations, regressions, simulations, optimization) to identify different opportunities to improve sales, improve Prime shipping and delivery benefits, reduce ship costs, improve discoverability, etc. - You will More ❯

development. Desirable Project management qualification or equivalent experience. Experience Essential Experience of linking complex data sets to derive meaningful analysis. Experience of validating and quality assuring outputs. Experience of statistical analysis of highly complex information. Experience of planning workload independently and project management skills Ability to manage complex and varying workloads whilst delivering to often tight timescales. Experience … Experience of using business intelligence tools to provide meaningful insight to a range of audiences. Experience of using Microsoft Power BI and Power Automate. Experience in machine learning and statistical modelling, including supervised and unsupervised learning, and time-series forecasting. Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and More ❯

datasets, and share insights to optimise category performance. You will collaborating with In-Stock Merchandising team and will manage another Data Analyst to drive NPD, category decision-making, and analysis in product buying and inventory management. Key responsibilities of this Data Scientist - Category Management : Partner with the Data Team to measure and report on availability levels and their impact … experience in analytics or data science, preferably in grocery, operations, marketing or consumer products. Open to experience in Investment Banking as Senior Associate or VP level Strong understanding of statistical analysis and experiment design. Ideally a bachelor's degree or similar in, Mathematics, Statistics, or a related quantitative discipline is advantageous but not essential Experience in developing machine More ❯

Data Analyst to lead on data management, reporting, and analytics across our growing organisation. This is a permanent, full-time role for someone with proven experience in healthcare data analysis, strong technical skills, and a commitment to improving outcomes in mental health services. Why Join Us? Make an Impact – Shape the way data is used to inform high-quality … organisational skills. A proactive, collaborative approach with high attention to detail. Desirable: Experience working directly with NHS datasets. Knowledge of mental health service data and performance metrics. Skills in statistical analysis, data modelling, or APIs/system integrations. Professional certification in data analytics or Looker Studio. Benefits Flexible remote working Company pension Private medical insurance Employee discounts Training More ❯

FOR? The Cloud and Data Engineering team is looking for data scientists who are passionate about enabling the next generation of automotive software development. Our data science engineers employ statistical modelling and measurement frameworks to model the distribution of road events in the real world, and inform our long-term validation and ML training data strategy. They embed within … data challenges, such as developing evaluation frameworks for AD/ADAS deployment readiness and the fidelity of simulation. The right candidate will have excellent communication skills, experience in using statistical methods in an applied setting and in developing metrics and evaluation frameworks, as well as familiarity with Machine Learning systems. RESPONSIBILITIES Use statistical modeling to shape the our … strategy for data acquisition (real and synthetic), validation and ML training Develop metrics and frameworks to understand the distribution and diversity of data Tackle ambiguous problems using data-driven analysis, and provide actionable insights to inform decision making and demonstrate business impact Communicate findings on complex technical topics to stakeholders across engineering leadership and product Embed with engineering teams More ❯

analytics or data engineering role Background in data analytics, proficient in SQL or Python Pandas Experience with data visualization tools, such as Tableau, GGplot, Keynote etc Fundamental understanding of statistical analysis, forecasting and modeling Preferred Qualifications Experience in coding for automation (e.g. Scala, Python, Java etc.) Familiarity with writing data pipelines using one or more big data technologies More ❯

business functionality. As a Data Product Developer, you'll play a crucial role in shaping our data-driven solutions. This position can be considered "Full Stack", combining Data Science analysis with engineering solutions for final product delivery to our clients. We're looking for someone with a positive, entrepreneurial mindset who can collaborate effectively with cross-functional teams to … build innovative data products and seamlessly integrate AI capabilities into our existing business functionality. The role entails: Data Analysis: Dive into complex datasets, extracting meaningful insights, and identifying patterns. Collaborate with stakeholders to understand business requirements and translate them into actionable data strategies. Python Coding: Write efficient, maintainable code for processing and transforming data. Collaborate with data engineers to … large datasets from various sources to uncover insights and patterns. Collaborate with cross-functional teams to understand business objectives and translate them into new data products Perform data mining, statistical analysis, and predictive modelling to drive business decisions. Build data architecture and pipelines to support data products Build predictive models for various business applications (e.g., Research Pricing, recommendation More ❯

The Principal SAS Programmer independently leads the programming activities for various purposes including CSRs, DSMBs, interim analyses, manuscripts, etc. Mainly supports statistical programming of statistical analysis plan (SAP)-planned tables, data listings, and graphs for CSRs, as well as integrated summaries of safety and efficacy, ad hoc analyses and electronic submission deliverables, such as datasets, data documentation … programming table of contents, and patient profiles. In addition, the Principal SAS Programmer supports migration activities in the creation of Standard Data Tabulation Model (SDTM) and production of the Analysis Data Model (ADaM). The Principal SAS Programmer is also responsible for monitoring and meeting assigned program milestones, and will coordinate and lead a team of programmers to accomplish More ❯

the reasons for technical decisions • Providing analyses, frameworks and solutions that inform multiple teams' business decisions and highlight new opportunities • Driving best practices in operational excellence, data modelling, and analysis Thank You! We appreciate that applying for a new job takes a lot of work and we value your time. We are really looking forward to receiving your application … and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for More ❯

boundaries of predictive analytics, benchmarking, and machine learning in a purpose-driven environment, this role is for you. What You'll Do Lead data exploration, hypothesis testing, and advanced statistical analysis to drive product features and strategic decision-making. Design and implement robust benchmarking methodologies to compare performance across 200+ clinical and operational metrics. Build predictive insights that … the Azure data and ML stack (AML, Data Factory, Synapse, Databricks, Data Lake). Advanced Python and SQL skills, plus experience building and deploying supervised and unsupervised models. Strong statistical knowledge, especially in benchmarking techniques and data normalization. Experience translating complex model outputs into clear, actionable insights for non-technical stakeholders. Familiarity with Power BI, ethical AI practices, and 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 ❯

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 ❯

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 ❯

and how they operate Extensive experience designing, developing and maintaining pipelines and tools to measure real-time engineering operations and processes Strong analytical and problem-solving skills in performing statistical analysis, data modeling, and predictive analytics. Professional experience in modern C++, including the STL and common testing frameworks Fluency in Python for software development Ability to develop high More ❯

help shape pricing strategy and drive commercial performance through automation and data-led insight. You’ll work closely with stakeholders across Commercial, Revenue Management, and Data Engineering to develop statistical and machine learning models that optimise pricing decisions and operational efficiency. This is a high-impact role where your work will directly contribute to business growth, margin improvement, and … efficiency What We’re Looking For Essential: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science or related field Strong proficiency in Python, SQL Hands-on experience with statistical analysis and machine learning Able to translate complex data challenges into practical business solutions Strong communication and stakeholder management skills Knowledge of revenue management principles in a commercial … setting Familiar with project management processes 2+ years of experience applying machine learning or statistical models in a commercial context Understanding of Snowflake, AWS, and Microsoft SharePoint Experience in hospitality, travel, or pricing optimisation sectors If this role looks of interest, apply here More ❯