76 to 100 of 212 Statistical Analysis Jobs

We are looking for an experienced data scientist to provide daily insights. The ideal candidate will possess strong mathematical and statistical skills, along with natural curiosity and creative thinking. This individual will be responsible for mining, interpreting, and cleaning our data, while also asking the right questions, connecting the dots, and uncovering hidden opportunities to fully leverage the data … s potential. Responsibilities: Work closely with product design and engineering teams to understand their needs. Research and create innovative statistical models for data analysis. Present findings to all stakeholders. Drive smarter business processes by leveraging analytics to generate meaningful insights. Stay up to date with technical advancements and industry trends. Identify and integrate new datasets that can enhance our … sources to support client business needs, gathering large structured and unstructured datasets and variables. Develop and apply algorithms and models to mine big data stores, performing data and error analysis to refine models, and ensuring data is clean and accurate. Analyze data for trends and patterns, interpreting it with clear objectives in mind. Collaborate with software developers and machine More ❯

and store data from various sources (e.g., monitoring metrics, KPI dashboards, operational systems). Develop a unified reporting framework to streamline access to key data across stakeholders. Perform data analysis using techniques ranging from basic aggregation to advanced statistical methods and data mining. Participate in code reviews and ensure adherence to best practices and coding standards. Collaborate with … and the broader BI ecosystem. Qualifications: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3-6 years of experience in Business Intelligence, Data Analysis, or a related area. Proficiency with BI tools (e.g., Grafana) and SQL. Experience with data pipeline development and ETL processes. Familiarity with statistical analysis and data mining More ❯

science). A minimum of ten (10) years of experience in two (2) or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software such as R, Python, SAS, or MATLAB. An additional four (4) years of experience in software development More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. Building dashboards that is able to tell a story and provide the business with key … insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and support the process. Supporting the team … of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an More ❯

Job Title: Senior SAS Programmer Location : Remote Experience : 7+ Years Job Summary: We are seeking a highly skilled Senior SAS Programmer to support the statistical programming activities for clinical trials. This role involves end-to-end SAS programming for analysis and reporting, with a focus on regulatory compliance, data standards, and high-quality deliverables. The ideal candidate should … have strong experience in efficacy analysis, SDTM and ADaM generation, and TLF programming. Key Responsibilities Lead the development, validation, and maintenance of SAS programs to support clinical trial data management, analysis, and regulatory submissions. Generate and QC datasets (SDTM, ADaM), Tables, Listings, and Figures (TLFs) in compliance with study protocols and CDISC standards. Collaborate directly with medics, scientists … and statisticians to translate scientific requirements into accurate programming deliverables. Review and provide input to study protocols, CRFs, and statistical analysis plans (SAPs). Perform advanced statistical programming tasks, ensuring compliance with FDA/EMA/ICH regulatory guidelines. Mentor and guide junior programmers, ensuring best practices and high-quality deliverables. Support ISS/ISE preparation and More ❯

ICESS is recruiting for a Senior Operations Research Systems Analyst (ORSA) to support the US Army HQ Deputy Chief of Staff (DCS), G-8 Force Development Directorates (FD) Warfighting Analysis Division (FDA). Work is on site at the Pentagon. Candidates shall demonstrate knowledge and experience in identifying and solving real-world problems in areas such as capital investment … decision analysis supporting a business unit, system design and engineering, linear and non-linear programming, and trend/predictive analysis. Ability to collect and organize information from a variety of sources, such as computer databases, sales histories, and customer feedback. Conduct and interpret survey data from workers involved in all aspects of a problem or from others who have … problem. Determine what is relevant to a problem and what methods might be used to analyze and brief pertinent data to senior leaders (O6-GO/SES). Use statistical analysis, simulations, predictive modeling, or other methods to analyze information and develop practical solutions to business problems. The candidate shall develop study plans, perform analysis for which More ❯

TBD. ICESS is recruiting for an Operations Research Systems Analyst (ORSA) to support the US Army HQ Deputy Chief of Staff (DCS), G-8 Force Development Directorates (FD) Warfighting Analysis Division (FDA). Work is on site at the Pentagon. The candidate shall conduct data collection, apply analytical techniques in innovative ways, and determine measures of effectiveness. Analytic proficiency … in programming and data analysis using R programming and or SAS as well as applying analytic techniques such as statistical analysis, forecasting and measurement to effect analyses (e.g., ANOVA, Multiple Regression), cost analysis, flow modeling, forecast modeling, linear programming, simulations and queuing theory, and business reengineering/IDEF modeling. The contractor shall construct models as symbolic … representations of a process, system, operations, etc. Manipulates these models via mathematical, statistical, computer or other techniques. Candidate will have demonstrated experience in conducting analytical studies using a variety of mathematical, statistical, and other operations research techniques to identify and define problems, develop, and investigate alternative courses of action, and present findings and recommendations. All contractor support personnel More ❯

/year WHAT YOU'LL DO As a Data Scientist III, you will: • Extract insights from large datasets using math, stats, computer science, and domain knowledge • Apply analytic modeling, statistical analysis, and programming techniques • Evaluate data of varying format and quality • Translate mission needs into technical requirements • Communicate findings to non-technical audiences • Stay current on NSA/… CSS data capabilities and limitations KEY SKILL AREAS (must have experience in at least 2) 1️ Foundations: Mathematical, Computational, Statistical 2️ Data Processing: Data curation, visualization, workflow, reproducibility 3️ Modeling & Prediction: Data modeling, domain-specific assessment QUALIFICATIONS Bachelor's with 10 years relevant experience OR Associate's with 12 years Degree must be in: • Mathematics, Statistics, Machine Learning, Data … unless paired with a Certificate in Data Science from an accredited institution ️ Relevant Experience Must Include One or More of the Following: • Machine Learning Design/Implementation • Data Science & Analysis • Analytical Algorithm Development • High-Level Programming (e.g., Python) • Statistical Modeling (e.g., hypothesis testing, EDA, linear models) • Data Cleaning/Transformation • Data Mining • Data Modeling & Assessment • Artificial Intelligence • Software 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 ❯

candidate will bring a strong foundation in data science, coupled with specialized expertise in bioinformatics. We are seeking an individual with advanced programming skills, a deep understanding of data analysis principles, and hands-on experience with NGS data analysis. This position requires active collaboration within interdisciplinary teams on a range of projects, including prototyping software for novel assays/… evaluating and monitoring the performance of both software and assay offerings. Collaborate closely with R&D and Data Science team to design and prototype bioinformatics workflows for NGS data analysis, contributing to the development of new assay offerings. Partner with Data Science and Product Development functions to design and prototype novel in-silico tools to lower off-target risk … in gene editing strategies. Support bioinformatics engineering team members in translating prototyped pipelines into scalable, production software. Execute data analysis/bioinformatics pipelines while ensuring compliance with relevant regulatory standards (e.g, GLP standards) to support client projects. Conduct data analysis to gain deeper understanding of current methods, enabling improved characterization of methods. Perform data wrangling, statistical analysis 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 … industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter 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 … etc.) and visualization libraries like mplsoccer . Advanced MLOps & Modelling: Deeper experience with the Vertex AI lifecycle (especially Pipelines ) 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 ❯

scratch. Transform machine learning models into APIs for integration with other applications. Collaborate with data scientists, software engineers, and business stakeholders to understand requirements and deliver AI solutions. Conduct statistical analysis and interpret results to guide and optimize decision-making. Manage data ingestion, preprocessing, and feature engineering to ensure data quality for model training. Optimize AI algorithms for 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 ❯

work in virtual, multi-national, multi-cultural, cross-company and cross-functional teams Familiar with financial market products and solid knowledge of the insurance/reinsurance industries Knowledge in statistical analysis and experience in processing large scale data sets Additional skills which are a plus: Working experience in various Cloud environments (e.g. AWS or Azure) Familiar with weather … and energy commodity markets, power and gas trading and data analysis Our company has a hybrid work model where the expectation is that you will be in the office three days per week. The base salary range for this position is between GBP 86,000 and GBP 128,000 (for a full-time role). The specific salary offered More ❯

and collaborating with national security stakeholders. Key Responsibilities: Lead high-impact, complex data science and technology assignments across multiple projects. Serve as a subject matter expert in machine learning, statistical modeling, and data analytics. Collaborate with national security investigators and analysts to understand analytical needs and deliver actionable data-driven solutions. Conduct and lead Extract, Transform, Load (ETL) operations … to integrate and condition data from multiple repositories. Design and implement custom ML models and statistical methods to uncover insights and support strategic decisions. Evaluate model performance, conduct variable analysis, and apply remediation strategies where necessary. Develop innovative approaches for handling and analyzing large-scale datasets, improving data search, retention, and usability. Write and maintain code to automate … relevant experience; OR Bachelor's Degree in a related field with 8+ years of experience. Proficiency in Python for data science applications. Demonstrated expertise in machine learning, data mining, statistical analysis, and large-scale data processing. Experience designing end-to-end data workflows and analytics pipelines. 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Business Intelligence Design, develop, and maintain dashboards and self-service reports to empower procurement teams with actionable insights. Manage data from multiple systems, ensuring integrity, consistency, and accessibility. Provide statistical analysis, modelling, and KPI reporting (weekly, monthly, and quarterly) to support decision-making. Drive the development of a data warehouse and ensure it remains accurate and up to More ❯

trends, technologies, and best practices. BASIC QUALIFICATIONS - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science More ❯