126 to 150 of 408 Statistical Analysis Jobs

their data capability from the ground up, in an organisation where the work genuinely matters.The roleThis is a hands-on leadership role combining statistical analysis, machine learning and business acumen to identify opportunities, solve complex problems and drive measurable value, not for its own sake, but to strengthen … emerging technologies in service of that same people-first mission.What you’ll doLead a small multidisciplinary team covering data ingestion, quality, reporting, dashboards, analysis and future data science capability Own and manage the data service roadmap, prioritising new data sources and reporting in partnership with internal stakeholders Present ...

technology and data analytics business, is looking for a Senior Quantitative Specialist to join its research and development team. This role focuses on developing statistical football models, analysing complex datasets, and building automated betting and performance analysis solutions. Key Responsibilities Develop and enhance football modelling and statistical analysis systems Acquire, clean, and process data from multiple sources Analyse trends and patterns within complex datasets Build automation and data processing tools Support back-testing, simulations, and performance analysis Identify opportunities for process and model improvements Collaborate closely with data scientists and software engineers Requirements Commercial ...

Identify opportunities to simplify and automate, building sustainable long-term solutions**What we're looking for:**- Solid foundation in data mining, modelling, and quantitative analysis- Experience working with large-scale datasets (professional or academic)- Clear written and verbal communication skills — able to tell the story behind the data- Comfort … 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)- Experience with SQL- Experience in the data/ ...

genome sequencing and methylation to enable precision treatments in childhood cancer. The role will include processing Illumina TruPath genome data through secondary and tertiary analysis pipelines, preparing results for MDT discussion, operating in a regulated clinical bioinformatics environment. Applicants are expected to have experience working with large, complex data … timelines. This is an 18-month contract (finishing March 2028) Main duties of the job Development of specialist clinical bioinformatics tools and workflows Specialist analysis of genomic data: secondary and tertiary bioinformatics Continued improvement of specialist clinical bioinformatics tools processes and workflows for delivery of genomic diagnostic services Investigation ...

Management Systems (QMS), ISO 9001, ISO 14001, TL9000, EMS Manufacturing, Electronics Manufacturing, Customer Audits, Supplier Quality, IQC, IPQC, OQC, Quality Engineering, CAPA, Root Cause Analysis, 8D, Fishbone Analysis, 5 Why, PFMEA, DFMEA, Statistical Process Control (SPC), Lean Manufacturing, Six Sigma, Minitab, ERP Systems, Microsoft Office, Quality Metrics … quality experience in electronics manufacturing, EMS, contract manufacturing, or related industries 3 years in a management or supervisory role. Strong knowledge of quality methodologies, statistical analysis, and process improvement tools (8D, 5 Why, Fishbone, PFMEA/DFMEA, SPC, CAPA, Lean, Six Sigma). Experience managing customer audits, quality ...

products, delivering insights to clients, and utilising data to make smarter, better decisions. You will be responsible for applying data mining techniques, undertaking statistical analysis, deploying cutting edge machine learning tools and techniques, and drawing insights and building predictive models on both structured and unstructured data. This role … sourcing external structured and unstructured data sets to enhance services and insightsProcessing, cleansing, and verifying the integrity of data used for analysisPerforming ad-hoc analysis and presenting results from a business-centric perspectiveBuilding innovative models to classify and predict tax and legal data leveraging state-of-the-art machine ...

innovative AI solutions within a regulated environment.Job Responsibilities:Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challengesConduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendationsContribute to model factories and evaluation frameworks that improve model quality, scalability, and operational … deploying machine learning or AI solutions using modern tools and techniquesWorking knowledge of large language models, agentic frameworks, or generative AI technologiesExperience with statistical analysis, experimentation, and model evaluation methodologiesProficiency in Python, SQL, and data science tooling used in enterprise environmentsStrong analytical, problem-solving, and communication skillsAbility ...

faster, smarter solutions that empower our organization., Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving ...

initiatives, negotiating buy-in with various VPs, ensuring consistent follow-through and concrete impact within agreed timelines. What you'll need to succeedProficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis … without requiring constant guidance.Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives.You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree.What makes ...

negotiating buy-in with various VPs, ensuring consistent follow-through and concrete impact within agreed timelines. What you’ll need to succeed Proficiency in statistical analysis, data modeling, and data visualization. Ability to interpret complex data sets and translate findings into actionable insights. Experience with data analysis … requiring constant guidance. Understanding of business strategy and how data-driven insights can support and enhance product and business goals. Ability to align data analysis with business objectives. You’ll need to have a prior experience as a data analyst and to hold a business or engineering degree. What ...

development best practices (version control, testing, documentation).Experience with machine learning libraries such as scikit-learn, PyTorch, or Keras.Strong data visualization and exploratory data analysis skills.Ability to translate complex analytical concepts into clear, actionable insights.Strong collaboration and communication skills across multidisciplinary teams.Fluency in English (oral and written).This … Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai, Organization Awareness, Pandas (Python), Python (Programming Language), R (Programming Language), Sql (Structured Query Language), Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: Cambridge (USA)Type: Full time ...

academic research. Main duties of the job Development of specialist clinical bioinformatics tools and workflows for Lymphoma Precision Medicine, including ctDNA based pathways Specialist analysis of lymphoma genomic data: secondary and tertiary bioinformatics Continued improvement of specialist clinical bioinformatics tools processes and workflows for delivery of genomic diagnostic services … registration Experience Essential Has developed bioinformatics tools and/or resources Has implemented bioinformatics tools and/or resources Has experience of performing specialist analysis and interpretation of genomic data Has experience of performing bioinformatics analysis of next generation sequencing data Has developed software using an object-oriented ...

technology to enhance decision-making, client experiences, and business performance. The successful candidate will champion data-driven decision making and AI adoption. Marketing Performance Analysis Analyse the performance of digital marketing activities across paid media, email marketing, social media, SEO and website activity. Identify trends, opportunities and areas … optimisation through detailed analysis of campaign and customer data. Business Intelligence & Reporting Design, develop, and maintain interactive dashboards using Microsoft Power BI. Create automated reports that improve visibility of marketing performance and reduce manual reporting. Ensure the accuracy and integrity of marketing data. Data Management and Automation Support integration ...

helping to managing a team of analysts and ensuring that insight is delivered consistently, at pace, and with strong commercial impact. Main Responsibilities Lead analysis across the full customer lifecycle, from acquisition through to retention and lifetime value. Go beyond "what happened" to understand why performance changes across acquisition … increase lifetime value through better engagement, targeting, and product experience. Develop and maintain customer segmentation models to better understand audience behaviour. Conduct cohort analysis to track performance over time and identify patterns in acquisition and retention. Identify high-value customer journeys and opportunities to improve performance across the lifecycle. ...

Translate complex business challenges into scalable data products and machine learning models Own projects from exploratory analysis through production deployment Write complex SQL and engineer features Deploy baseline models quickly and iterate toward more complex solutions Manage the complete model lifecycle, including data extraction, feature engineering, deployment, A/… Data Lifecycle Management Hard Skills Data Science Machine Learning Engineering Feature Engineering A/B Testing Performance Monitoring Model Deployment Exploratory Data Analysis Technical Documentation Algorithm Selection Statistical Analysis Soft Skills Technical Communication Collaboration Mentoring Problem-Solving Adaptability Industry Keywords Data Products Business Insights Customer Behavior Modeling ...

related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 3 years of work experience with a PhD degree. Experience with Python, SQL, and statistical modeling. Experience working with generative … related quantitative field. 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis. Experience in software development and source control methodologies. Experience working with cloud computing or distributed computing environments. Demonstrated ability to build investigative tools ...

team.Proficiency in programming languages such as Python, R, and SQL.Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).Expertise in data manipulation, analysis, and visualization tools (e.g., Pandas, Matplotlib, Tableau).Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing (e.g., Spark).Solid understanding of statistical analysis and hypothesis testing methods.Strong communication skills, with the ability to present complex data findings to non-technical stakeholders.Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.Strong problem-solving abilities and a passion for driving data-driven decision-making across the organization.Total ...

Funding Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business.Model Development: Develop statistical and machine learning models for commercial lending products.Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative data … sources.Communication: Communicate and present effectively, turning complex analysis into clearly articulated insights.Problem Solving: Proactively problem-solve, identifying and mitigating any risks, issues, or control weaknesses in your day-to-day work.Experimentation: Actively experiment with various frameworks for model optimizationWhat we’re looking for We value deep expertise ...

Circle. You will play a key role in developing, implementing and monitoring these models and drive significant value for the business. Model Development: Develop statistical and machine learning models for commercial lending products. Optimization: Deliver value through the optimization of current models and drive innovation by constantly seeking alternative … data sources. Communication: Communicate and present effectively, turning complex analysis into clearly articulated insights. Problem Solving: Proactively problem-solve, identifying and mitigating any risks, issues, or control weaknesses in your day-to-day work. Experimentation: Actively experiment with various frameworks for model optimization What we’re looking ...

honest perspectives through active listening and engaged participation. Technical Leadership & Project Delivery Leading technical project delivery by designing solutions, writing code, and conducting analysis using Agile principles. Using data and operational management techniques to improve operational performance. Providing technical oversight to data scientists, identifying opportunities to use data … demonstrate proven experience in any combination of the following skills, with a priority on the technical areas listed below: Technical CapabilitiesStrong data manipulation and analysis skills. Programming using Python and SQL (additional languages are a benefit). Dashboarding using Tableau and/or Power BI and data visualisation using ...

product KPIs, success metrics and analytics requirements for digital products.Experience writing requirements for product analytics, event tracking, instrumentation and reporting.Strong understanding of customer behaviour analysis, product performance measurement, product lifecycle metrics and digital commerce.Experience analysing digital product performance using metrics such as conversion, engagement, adoption, retention, utilisation and revenue.Experience … such as GA4, Amplitude, Mixpanel, Pendo or similar is highly desirable.Familiarity with experimentation methodologies including A/B testing, hypothesis-driven product development and statistical analysis would be advantageous.Excellent stakeholder management and communication skills, with the ability to explain technical concepts and analytical findings to both technical ...

success metrics and analytics requirements for digital products. Experience writing requirements for product analytics, event tracking, instrumentation and reporting. Strong understanding of customer behaviour analysis, product performance measurement, product lifecycle metrics and digital commerce. Experience analysing digital product performance using metrics such as conversion, engagement, adoption, retention, utilisation … Amplitude, Mixpanel, Pendo or similar is highly desirable. Familiarity with experimentation methodologies including A/B testing, hypothesis-driven product development and statistical analysis would be advantageous. Excellent stakeholder management and communication skills, with the ability to explain technical concepts and analytical findings to both technical ...

aligned to stakeholder requirements. Using Power BI to create compelling, high-quality visualisations and self-service reporting products. Diagnosing business issues through root cause analysis, performance investigation and structured analytical thinking. Developing scenario models, forecasts and expected outcomes to support strategic and operational decisions. Translating complex data into clear … Ability to design, build, test and iterate reports to ensure accuracy, quality and practical business use. Strong business problem-solving skills, including root cause analysis and structured analytical thinking. Commercial awareness and the ability to link insight to business outcomes, benefits and performance improvement. Experience with scenario modelling, forecasting ...

solutions within a regulated environment. Job Responsibilities: Design, develop, test, and deploy AI and machine learning solutions that address workforce and business challenges Conduct statistical analyses, experiments, and model evaluations to generate actionable insights and recommendations Contribute to model factories and evaluation frameworks that improve model quality, scalability … machine learning or AI solutions using modern tools and techniques Working knowledge of large language models, agentic frameworks, or generative AI technologies Experience with statistical analysis, experimentation, and model evaluation methodologies Proficiency in Python, SQL, and data science tooling used in enterprise environments Strong analytical, problem-solving ...