76 to 100 of 270 Permanent Statistical Analysis Jobs

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

lead efforts to position data as a key organizational asset-ensuring strong data governance, interoperability, accessibility, and trust in alignment with Mozilla's values and lean data principles. Analytics & Analysis (50%) Work with data stored in AWS (e.g., Athena, Redshift, S3) to prepare high-quality, privacy-conscious datasets and visualization. Write and maintain SQL queries and data transformations to … support reporting and analysis workflows. Perform statistical analysis to understand underlying patterns and anomalies in data and communicate insights effectively. Respond to ad-hoc requests from business users for data analysis as needed. Collaboration and Enablement (30%) Collaborate with teams across Mozilla Foundation to design and build interactive dashboards and reports in Power BI to help More ❯

lead efforts to position data as a key organizational asset-ensuring strong data governance, interoperability, accessibility, and trust in alignment with Mozilla's values and lean data principles. Analytics & Analysis (50%) Work with data stored in AWS (e.g., Athena, Redshift, S3) to prepare high-quality, privacy-conscious datasets and visualization. Write and maintain SQL queries and data transformations to … support reporting and analysis workflows. Perform statistical analysis to understand underlying patterns and anomalies in data and communicate insights effectively. Respond to ad-hoc requests from business users for data analysis as needed. Collaboration and Enablement (30%) Collaborate with teams across Mozilla Foundation to design and build interactive dashboards and reports in Power BI to help 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 ❯

meaningful data to be used in a variety of projects. Design APIs, utilizing third-party packages, libraries and datasets and deploy in a fast-paced environment. Evaluate and create statistical analytics to be used by all business and marketing teams. The successful candidate will have: Honours Degree in Computing, Mathematics or equivalent (minimum 2:1), and a Masters or … Excellent skills in MS Office (particularly Excel) Experience in some of the following would be beneficial: ETL/TEL solutions The Google family of APIs The UK insurance sector Statistical analysis methods LightGBM, XGBoost, CatBoost or similar python-focused ML libraries Personal Attributes Good interpersonal and influencing skills Attentive to detail - getting it 'right first time' Self-motivated 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 ❯

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 ❯

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 ❯

a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering actionable insights through effective story telling. The ideal candidate will have a passion for automation and clean, streamlined process design. You will work with analytic 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 ❯

Relevant foundations that are helpful include: • Prior cost estimation experience for DoD, IC, or other government agency • Analytics background, such as operations research or statistics • Familiar with Excel formulas, statistical features, and macros • VBA coding behind Excel is a big plus • Python and/or R coding for statistics is a big plus • Acquisition or contract management background • Aerospace … Python and/or R for regression and classification data is preferred here • SQL database query skills are beneficial • Natural Language Processing (NLP) for text search/matching and analysis, since a lot of the contract data and deliverables are text-based • Another useful skillset is importing/exporting data to Excel using Python or R, as well as … years' experience with a Bachelor's Degree • Apply principles, theories and methods of cost estimation to complex Government acquisitions • Develop cost estimating relationships through the application of advanced statistical analysis techniques • Ability to collect and normalize data and design cost estimating methods and models • Develop life-cycle cost estimates using a variety of methods (e.g. parametric, analogy, etc More ❯

Data Scientist 3 Job Description: We are seeking a Data Scientist to provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, data visualization, statistical analysis, and TechSIGINT tools. You will be performing mass data analytics, data processing, and modeling utilizing all available SIGINT. This role is very team-based, and you will collaborate with TDNAs, DSs …/technical audience as needed. The Level 3 Data Scientist shall possess the following capabilities: Employ some combination (2 or more) of the following skill areas: Foundations: Mathematical, Computational, Statistical Data Processing: Data management and curation, data description and visualization, workflow and reproducibility Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific consideration. Ability to make and communicate … principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge. Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯

the Chief Credit Officer in the development and management of the businesses credit risk appetite. Supporting the development of iwoca's Credit Policy, and monitoring adherence to it. Producing analysis of credit loss rates and credit risks that support the development of iwoca's funding strategy. This includes input to meetings with debt and equity investors, and analysis … Fintech lender. Passion for analytical problem-solving, with a strong track record in developing conceptual frameworks and technical execution. This will include the ability to personally conduct data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and … Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical confidence testing. Understanding and expertise in statistical modelling techniques is a plus. Strong communication, stakeholder management, and people management skills. Ability to bring structure to own and joint More ❯