126 to 150 of 477 Statistical Analysis Jobs in England

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯

AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to address business problems Present information using data visualization techniques Develop (design, code and test), deploy & support code as part of our AI Products in Cloud-hosted … lifecycle. Stay informed on new technology trends and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight More ❯

impactful products and initiatives. This role is based in London with hybrid working flexibility. You will: Define and standardise experimentation strategy, including best practices in test design, allocation, and statistical analysis Collaborate with commercial, engineering, analytics, and product teams to ensure flawless execution and clean data capture Apply causal inference techniques when randomisation isn’t feasible Own the … to elevate experimentation maturity across the organisation What We’re Looking For Significant experience in data science and experimentation, ideally within consumer tech or digital commerce Strong foundation in statistical testing, power analysis, and causal inference methodologies Expertise in SQL and Python (or R) for data querying, preparation, and sophisticated analysis Exceptional communication skills - with a proven More ❯

Data Vis community across PRH and other Bertelsmann group companies to share best practices in data visualisations, lead any related collaborations efforts What you’ll bring Experience in business analysis and problem-solving, with a focus on using data science and statistical analysis to drive business decisions. Dashboard development using PowerBI, or advanced experience with other similar More ❯

client issues, usability gaps, or additions to modelling features Define tests to ensure that model updates and features meet quality expectations before client release Apply advanced analytics techniques (e.g. statistical analysis, visualisation, sensitivity testing) to help interrogate, validate, and interpret model outputs Support internal and external clients by answering technical product queries, analysing model behaviour, and gathering structured … and evidence of strong academic performance (First, 2:1 or similar) in a quantitative or technical discipline 1-2+ years of experience in a role involving complex data analysis, modelling, or product development (e.g. in energy, software, finance, or consulting) Proficiency in at least one programming language commonly used for analysis (e.g. Python, R, MATLAB) Demonstrated ability More ❯

between data science and software engineering. You'll be responsible for developing production-ready data solutions that solve real user problems—focusing on delivering working code rather than just analysis or prototypes. What You'll Work On Data Enrichment Systems: Build and maintain systems that enhance raw financial data, including our transaction categorisation engine that underpins budgeting capabilities and … data solutions to production environments Practical knowledge of data processing techniques and relevant frameworks Understanding of when to apply ML algorithms vs. simpler approaches to solve problems Experience with statistical analysis and ability to interpret results to drive decision-making Proven ability to clean and prepare data for analysis and enrichment Excellent communication skills with ability to … subject (Data Science, Computer Science, Mathematics, or related field) Beneficial if you : Experience with containerization using Docker Has worked on high-performance data processing systems Can perform data science analysis independently but focuses on production implementation Understands the difference between exploratory work in notebooks and production-ready code Experience optimizing algorithms for performance and scale Demonstrates a pragmatic approach More ❯

and provide forward looking recommendations to enable strategic decision making and growth of Private Pricing. • Support the development of continuously-evolving business analytics and data models, own the quantitative analysis of the performance of our sales team, customers, deal team, partners, markets, and products/services. • Develop a deep understanding of sales metrics, reporting tools, and data structures in … as business reviews, annual planning, and forecasting processes. • Create operational templates and processes to compile and standardize disparate information that drive standardized reporting and metrics tracking. • Generate ad-hoc analysis and reports with actionable recommendations based on the needs of the stakeholders, through ad-hoc data retrieval and analysis from data management systems, • Create new mechanisms and business … stakeholders to translate between data and business needs - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of design of experiments and statistical analysis of results. Additional experience with theory and practice of information retrieval, data science, machine learning and data mining. PREFERRED QUALIFICATIONS - Experience managing, analyzing and communicating results to More ❯

Data Vis community across PRH and other Bertelsmann group companies to share best practices in data visualisations, lead any related collaborations efforts What you’ll bring Experience in business analysis and problem-solving, with a focus on using data science and statistical analysis to drive business decisions. Dashboard development using PowerBI, or advanced experience with other similar More ❯

Business Intelligence Engineer, AOP Team The role is for 1 year term in Amazon Job Description Are you interested in applying your strong quantitative analysis and big data skills to world-changing problems? Are you interested in driving the development of methods, models and systems for strategy planning, transportation and fulfillment network? If so, then this is the job … interpreting data with Redshift, Oracle, NoSQL etc. experience - 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 ❯

to continue changing banking for good. Responsibilities: Work closely with the Fraud Strategy and Change, Fraud Risk, and Engineering teams to identify push payment fraud trends and use data analysis to propose solutions for prevention and transaction monitoring Perform exploratory data analyses in python of potential machine learning model features to help fight fraud Build and maintain push payment … related feature tables in our warehouse using dbt Perform descriptive analysis using Looker visualisations and dashboards Requirements Minimum of three years of work experience in data analysis/statistical analysis Must have experience in fighting Fraud Strong experience with SQL Strong experience with handling data in Python Experience with (or willingness to learn!) dimensional modelling and More ❯

technology strategy. Establish and maintain a data governance and ownership framework, ensuring compliance with relevant regulations (e.g., GDPR, CCPA) and promoting data quality and integrity across the organisation. Data Analysis and Insights: Ensure MO has access to advanced data analytics capabilities, including platforms, tools, and resources required to analyse and generate insights from complex data sets. Enable local team … track record of senior leadership roles within data analytics. Strong leadership skills with the ability to motivate and inspire a diverse team. Extensive expertise in data management, data modelling, statistical analysis, and data visualisation techniques. Strong understanding of data privacy laws and regulations, and experience implementing data governance frameworks. Excellent communication skills to articulate complex technical concepts to More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

analysing large data sets Experience with analytics tools (Google Analytics, Content square, Firebase or Appsflyer) Experience with data visualisation tools (Tableau, Looker) Proficiency in A/B testing, cohort analysis, and statistical analysis. Excellent communication skills, translating complex data into actionable insights. Experience in implementing tracking via GTM in Google Analytics 💬 The vibe This company genuinely cares about More ❯

technologies that detect operational anomalies in real-time, improve equipment reliability, and enhance process efficiency. Key responsibilities include applying computer vision, data modeling, optimization techniques, and advanced analytics (e.g. statistical analysis, regression, DOE) to drive data-informed decisions on processes and designs, integrating new solutions into daily workflows to enable proactive interventions and reduce manual troubleshooting, and demonstrating … reports Create basic to highly advanced models and run "what-if" scenarios to help drive to optimal solutions Analyze historical data to identify trends and support decision making. Apply statistical or machine learning knowledge to specific business problems and data. Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. Provide requirements … quantitative field with 5+ years of work experience. - Experienced in writing academic-styled papers for presenting both the methodologies used and results for data science projects. - Hypothesis testing (including statistical hypothesis testing) and experimental design. - Experience with unstructured textual data - Excellent verbal and written communication skills with the ability to effectively advocate technical solutions to research scientists, engineering teams 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 ❯

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 ❯

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 ❯

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 ❯

managing P&L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement More ❯

managing P&L responsibility, and driving commercial growth through data science initiatives. Experience in business development, client management, and strategic partnerships. ● Technical Proficiency: Deep understanding of data science methodologies, statistical analysis, machine learning algorithms, and analytics platforms (Python, SQL, vector stores and graphs, Power BI, Looker). Experience with commercial analytics tools and customer data platforms. ● Client Engagement More ❯

Perform reviews and checks on the valuations input by the Team Analysts ensuring the correctness of the underlying data. Ensuring data quality targets are met, overseeing integrity checks and statistical analysis techniques. Guiding the team through complex queries or valuations, providing expert oversight. Monitoring and updating the valuations operating model, including control framework Lead on areas of transformation … collaboration. Cascade agreed global Operations behavioursand corporate objectives to the wider team Working with senior team members to coordinate workload in order to meet complex and competing priorities. Investment analysis and support Coordination of valuation level data for usage by other investment and IR professionals across the firm Produce and review analysis prepared by junior team members to More ❯

including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an More ❯

including containerization and microservices. Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. Ability to optimize and fine-tune ML models for performance and accuracy. Understanding of statistical analysis and experimental design. Proficiency in data visualization and interpretation of ML results. Job responsibilities Proven experience as an MLOps Engineer or in a similar role, with an More ❯

including containerization and microservices. • Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring. • Ability to optimize and fine-tune ML models for performance and accuracy. • Understanding of statistical analysis and experimental design. • Proficiency in data visualization and interpretation of ML results. Job Responsibilities • Proven experience as an MLOps Engineer or in a similar role, with an 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 ❯