101 to 125 of 482 Statistical Analysis Jobs in England

actionable insights that improve our understanding and trends, while also identifying new opportunities to improve how our customers interact with our CXs. You will be hands-on in data analysis and and an expert in A/B testing, using your insights to inform decisions and provide high quality communication to senior leadership. Key job responsibilities * Work with our … degree in engineering, statistics, computer science, mathematics or equivalent quantitative field - * 7+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - * Experience in Business Intelligence, Data Analysis, or a similar role. - * Ability to operate independently and deal with ambiguity in a fast-paced environment. - * Experience developing and presenting recommendations of new metrics allowing better understanding of … computer science, mathematics or equivalent quantitative field - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Strong understanding of A/B testing, sampling methodologies, and other statistical analysis Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the More ❯

experience in a data-science related role, with hands-on experience in data science engineering. Proficiency in programming languages such as Python and SQL. Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn. Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques. Familiarity with data visualization tools such as … Power BI. Solid understanding of statistical analysis and hypothesis testing. Ability to work with structured and unstructured data sources. Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies. Experience with Databricks and Mosaic AI is plus. By enabling flexibility in how we work and prioritizing employee More ❯

communicate and drive corrective action. Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, ability to accurately determine cause and effect relations Apply Statistical and Machine Learning methods to specific business problems Partner with Machine Learning team in Model Building w.r.t. variable definition, model validation and creation of a targeting strategy Own the … 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 ❯

BI and Azure tools Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit) Conduct data exploration, hypothesis testing, and advanced statistical analyses to inform product and business decisions Implement monitoring and retraining strategies for deployed models to ensure fairness and ongoing performance Mentor junior team members and foster a collaborative … based data pipelines and machine learning services Advanced proficiency in Python (for ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery 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 ❯

environment; will be a creative and an analytical problem solver with the opportunity to fulfill the Amazon motto to "Work Hard. Have Fun. Make History". Key job responsibilities - Analysis of business requirements and translation into technical requirements. By support of senior colleagues integration into a working, stable and scalable system - Independent realization of requirements for Business Intelligence and … 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 work with SQL, Python, and data visualization tools (DOMO, Tableau, Power BI). Experience with data modelling, reporting, and database management. Bonus: Experience with Salesforce, SAP, Operative.One or statistical analysis tools. Please apply if you’re interested and you fit this profile. Please note this role doesn't offer sponsorship. #J-18808-Ljbffr More ❯

Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results. What You'll Bring Essential Expertise Deep knowledge in AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing … scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability to translate complex data into clear business value for non-technical audiences Managerial Capabilities Experience recruiting, coaching, and retaining top data talent Skilled at creating positive, high-performance team cultures Demonstrated success in More ❯

term field performance. Your work will directly support utility customers in achieving higher uptime, reduced lifecycle costs, and safer grid operation. Job Description Key Responsibilities Perform reliability modeling and statistical analysis of energy management and protection/control products to predict field performance and act as authority for reliability design decisions. Develop and execute reliability test plans for … hardware and software, including hardware-in-the-loop (HIL), environmental, and stress testing for grid components. Conduct and lead FMEA, FMECA, and Root Cause Analysis (RCA) for hardware/software failure events across embedded systems and communication layers. Work with product design, systems engineering, and software teams to ensure Design for Reliability (DfR) is embedded from concept through deployment. … IEC 61025). Familiarity with communications protocols and standards used in T&D systems: IEC 61850, DNP3, Modbus, IEEE C37.118, etc. Strong analytical skills and experience with data analysis platforms (e.g., Python, R, Minitab, Power BI). Excellent written and verbal communication skills; able to engage cross-functional teams and utility customers. Understanding of grid reliability challenges in T More ❯

other data-driven activities -Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights -Develop and drive best practices in data integrity, consistency, analysis, validations, and documentation -Learn new technology and techniques to meaningfully support product and process innovation BASIC QUALIFICATIONS - 3+ years of analyzing and 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 modeling - Bachelor's degree in BI, finance More ❯

BI and Azure tools Ensure transparency and compliance of models in alignment with healthcare data privacy standards (e.g., GDPR, NHS DSP Toolkit) Conduct data exploration, hypothesis testing, and advanced statistical analyses to inform product and business decisions Implement monitoring and retraining strategies for deployed models to ensure fairness and ongoing performance Mentor junior team members and foster a collaborative … based data pipelines and machine learning services Advanced proficiency in Python (for ML) and SQL (for data manipulation) Deep expertise in supervised and unsupervised ML techniques, benchmarking design, and statistical analysis Strong experience with Microsoft Azure stack: AML, Data Factory, Synapse, Databricks, Blob Storage/Data Lake Familiarity with Power BI for report automation and data insight delivery More ❯

Record details of data ingestion activities for team understanding. Develop and uphold best practices in data engineering and analytics following Agile DevSecOps methodologies. Experience Requirements: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools More ❯

and initial insights that will guide the creation of hypotheses. In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilising statistical and mathematical modelling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye … a related field Passionate about extracting insights from data to solve real-world problems Experience in programming languages Comfortable working with data visualisation tools (e.g. Seaborn, Tableau) Knowledgeable in statistical analysis, machine learning concepts, and data wrangling techniques Curious, analytical, and detail-oriented with a strong problem-solving mindset A strong communicator who can explain technical findings to More ❯

Data and Analytics Machine Learning, AI, Python, Business Inteligence, Power BI, Snowflake Opportunity to join a Not-for-Profit organisation who are creating a new Data Division. Currently Data Analysis is reactive. Move towards a proactice data department with the remit to create value from the unique data points this organisation is generating. Responsible for strategic growth, data governance … using tools such as Power BI, Tableau, Qlik Experience of launching projects using AI/ML Hands-on skills with SQL, Python and from a Proof of Concept basis, Statistical Analysis (forecasting/Data Science) and genrating models for ML 3 days a week in the office More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and … stakeholders in a clear and concise manner. Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data … manipulation, data imputation, statistical modelling, and visualisation libraries. Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills: Ability to clearly communicate complex statistical concepts and insights to non-technical stakeholders. Business Acumen More ❯

empower individuals with control over their data and enable fair monetization. The Role Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources for analysis. Statistical Analysis: Use econometric techniques like regression, time series, and panel data analysis to identify relationships between media spend and outcomes. Model Validation and Interpretation: Evaluate model accuracy … clearly to stakeholders. Advanced Analytics: Explore machine learning techniques to improve models and uncover deeper insights. Experience and Skills Data Science: Proficiency in Python, R, SQL, including data manipulation, statistical modeling, and visualization. Statistical Methods: Expertise in regression, generalized linear models, panel data, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement More ❯

team, driven fundamentally from our customers' needs, translating those directions into specific plans for engineering teams. Design and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. Drive end-to-end statistical analysis that have a high degree of ambiguity, scale, and complexity. Research and develop advanced Generative AI … based solutions to solve diverse customer problems. BASIC QUALIFICATIONS - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance … cause and effect relationships. Have a history of building systems that capture and utilize large data sets in order to quantify performance via metrics or KPIs. Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML More ❯

is highly analytical, resourceful, customer-focused, and collaborative. They will have a strong understanding of different businesses and the underlying analytics, and the ability to translate business requirements into analysis, collect and analyze data, and make recommendations back to the business. The candidate for this role will be required to continuously learn new systems, tools, and industry best practices … and Software engineering team to define and build the data elements and data structure that the team should leverage to enable analytical capabilities -Automate processes which enable in-depth analysis -Engage with leadership and diversified customer groups to understand the needs and recommend business intelligence solutions -Publish, analyze and improve dashboards, operational business metrics decks and key performance indicators … NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) PREFERRED QUALIFICATIONS - Master's degree, or Advanced technical degree - Knowledge of data modeling and 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 ❯

answer business questions Proactively performing analytics to drive understanding of our user base, leading to developing retention strategies and the development of new features on site. Conduct in-depth analysis of user behaviour, traffic patterns, and conversion metrics to identify trends, opportunities, and areas for improvement Creating dashboards and reports using Google Looker Studio Develop and maintain dashboards and … reports to track key performance indicators (KPIs) and measure the effectiveness of changes to our website Exploratory data analysis including regular use of SQL and statistical analyses Visualisation and presentation of findings to stakeholders Using R, Python and GCP tools to answer and automate business problems Development and maintenance of existing data products (applications developed in R Shiny … solution Working knowledge of SQL Degree level education in a subject with a central mathematical core (eg: Computer science, maths, engineering) Strong verbal and communication skills Ability to communicate statistical concepts to a non-technical audience A curious mindset, strong analytical skills and a desire to gain insights from data to drive actionable recommendations Collaborative and interested in working 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 ❯

Biotech industry or related field or industry! Knowledge of trial site operations and study execution Strong knowledge of regulatory guidelines (e.g., ICH-GCP). Demonstrated strong understanding of data analysis and familiarity with basic statistical concepts and hands-on experience using data visualization tools Project, Issue, and risk management experience with strong ability to apply critical thinking & problem … solving skills, to drive solutions &helping to lead teams to successful outcomes. Strong experience working with technology platforms and systems used for the collection, analysis and reporting of data. Experience working in highly diverse teams within clinical research; cross-functional, global, multiregional Planning and coordination skills. Experience working with cross-functional stakeholders and leading teams in a matrix environment … drug development processes Preferred Experience Working with complex data structures and reporting specifications Working with external data e.g., Safety Lab, PK, Simple Biomarkers, ECG, or similar. Possess proficiency in statistical analysis, data modelling, and data visualization techniques, or demonstrate strong knowledge in these areas. Strong Knowledge of Monitoring and Risk-based Quality Management (RBQM)/Risk-Based Monitoring 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 ❯