1 to 25 of 198 Statistical Analysis Jobs

for collecting, organizing, and analyzing financial data to provide insights and support decision-making within the organization. The ideal candidate should have exceptional analytical skills, and proficiency in data analysis tools and techniques, preferably within Finance function. What We're Looking For Responsibilities Bachelor's degree in BI and Analytics or related field. (Master's degree preferred) At least … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of … experience as a Data Analyst, Financial Analyst, or similar role. Strong quantitative and analytical skills with the ability to interpret complex financial data. Experience with financial modeling, forecasting, and statistical analysis techniques. Excellent communication and presentation skills with the ability to convey complex ideas to non-technical stakeholders. Experience of delivering end to end data products Experience of More ❯

technology decisions and strategy related to a product - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience performing statistical analysis of data using SQL, Excel and other tools - Experience with feature delivery and tradeoffs of a product - Experience owning/driving roadmap strategy and definition - Experience with … 5+ years of technical product or program management experience - Experience in building and driving adoption of new tools - Experience with concepts such as system architecture, optimization, system dynamics, system analysis, statistical analysis, reliability analysis, and decision making Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or More ❯

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

scaling research operations, building high-performing teams, and translating complex market intelligence into actionable business insights and products. You possess strong technical foundations with hands-on experience in data analysis, statistical modelling, and emerging AI/ML technologies. You understand both the commercial imperatives of a growing business and the technical challenges of delivering world-class market intelligence … research, consulting, or related fields 5+ years’ experience in offshore wind, or other energy and maritime sectors Proven track record managing teams of technical professionals Demonstrated expertise in data analysis, statistical modelling, and database management Strong understanding of AI/ML technologies and their commercial applications Excellent written and verbal communication skills with ability to present to C … suite audiences Experience with Python, SQL, Excel, and statistical analysis tools Highly Desirable MBA or equivalent advanced business qualification Experience with LLMs, machine learning model development, and cloud computing platforms Track record of successful product development and commercialization for high-growth subscription-based market intelligence providers Experience serving clients across offshore wind value chain (developers, OEMs, financiers, government More ❯

Data Scientist, you will perform the following functions: • Design and implement machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python , statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g., data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence … and/or software engineering. • Utilize 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 and limitations inherent in National Agency data holdings. • Develop and communicate principal … science, and applications-specific knowledge. • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others in drawing appropriate conclusions from the analysis of such data. • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, analytic capabilities, and limitations. • Knowledge of agency More ❯

solutions. Additional information regarding the role, responsibilities, and required skill sets are below. Roles & Responsibilities • Support the development of recommendations and aid in the decision-making process by using statistical data analysis, testing, and modeling of large data sets • Identify and document areas for improvement in workflows or systems • Research and document options for collecting or aggregating data … Use languages, such as Python, to collect and process data from a variety of sources • Leverage the use of APIs and computing platforms to support data collection, management, and analysis • Create, maintain, and enhance systems in support of data visualization and analytics • Automate data management, clean-up, and conditioning of data sets through the use of scripts or algorithms … Required Skill Sets: • E xperience programming or scripting and debugging in one or more languages such as: Python, Javascript, R, SQL, Scala, etc. • Proficiency with data mining, mathematics, and statistical analysis demonstrated with hands-on academic and project experience conducting statistical analysis, testing, and modeling using regression analysis, linear regression, predictive modeling, chi-squared, clustering More ❯

science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C , data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and … reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity. Employ some combination (2 or more) of the following 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 considerations). Devise strategies for extracting meaning … and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through 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 More ❯

portfolio spans the discovery, preclinical, clinical and post-marketing phases of drug development, working with 1,200 commercial companies, 250 academic institutions, and numerous regulatory agencies. As a Senior Statistical Programmer , you will be responsible for programming support in the analysis and reporting of clinical trials. You will work closely with biostatisticians, data managers, and clinical teams to … develop high-quality statistical programming deliverables in compliance with regulatory requirements and industry standards. Responsibilities Develop, validate, and maintain SAS and R programs for data analysis, visualization, and reporting of clinical trial data. Generate CDISC SDTM datasets, analysis datasets (ADaM), tables, listings, and figures (TLFs) for clinical trial reports and regulatory submissions. Should be able to write … ADaM specifications based on the SAP and TFL shells. Ensure compliance with CDISC standards (SDTM, ADaM) and regulatory guidelines. Collaborate with statisticians and clinical teams to interpret and implement statistical analysis plans. Provide technical leadership and mentor junior programmers in best practices for statistical programming. Perform quality control (QC) checks on programming deliverables to ensure accuracy and More ❯

the London office. In this role, you will be at the forefront of our data-driven initiatives, training machine learning and artificial intelligence models as well as leveraging advanced statistical techniques to uncover trends and patterns that inform our business strategy. Your insights will play a key role in shaping decisions across various business areas, including marketing, sales, claims … with emerging trends in data science and the pet insurance industry. You'll have the opportunity to evaluate and implement new methodologies, tools, and frameworks to keep our data analysis and modelling processes at the cutting edge. Your responsibilities Manage data science projects across the business Leverage advanced statistical techniques and machine learning/AI models to identify … data visualisation, reports, and presentations. Stay updated on emerging trends and technologies in data science and the pet insurance industry, implementing new methodologies, tools, and frameworks to enhance data analysis and modelling processes. Perform statistical analysis, machine learning, and data mining to support various business needs. Participate in Agile or Kanban methodologies, contributing to a collaborative and More ❯

fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in … the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure More ❯

through relevant work experience in either the NHS or local government or voluntary sector Membership of a relevant organisation Microsoft PL300 Certified Postgraduate training in business intelligence/data analysis/business reporting/statistical analysis Experience Experience of working with data and information either in the NHS or local government or the voluntary sector … effectively, escalating when necessary Able to manage tasks through to successful completion in challenging circumstances Excellent verbal and written communication to convey technical concepts to non-technical stakeholders Excellent statistical analysis and interpretation skills High level interpersonal skills Able to work confidently with large, aggregate reports and data sets Demonstrates the Compass values Leads by example Collaborative team More ❯

relevant work experience in either the NHS or local government or voluntary sector Desirable Membership of a relevant organisation Microsoft PL300 Certified Postgraduate training in business intelligence/data analysis/business reporting/statistical analysis Recognized project management qualification Experience Essential Experience of working with data and information either in the NHS or local government or … effectively, escalating when necessary Able to manage tasks through to successful completion in challenging circumstances Excellent verbal and written communication to convey technical concepts to non-technical stakeholders Excellent statistical analysis and interpretation skills High level interpersonal skills Problem solving skills Able to work confidently with large, aggregate reports and data sets Demonstrates the Compass values Leads by More ❯

is currently hiring a Data Scientist to provide technical support to a federal agency. In this role, the Data Scientist will design and apply machine learning models, conduct detailed statistical analysis, and partner with cross-functional teams to deliver data-driven solutions. The successful candidate will have expertise in data science methodologies and tools, and strong communication skills … to support effective collaboration. This position requires an active Secret clearance. Key Responsibilities: Design and implement machine learning models, including those using large language models Conduct statistical analysis to uncover trends, patterns, and verify insights Work alongside data engineers to operationalize models into production environments Partner with analysts and visualization teams to clearly present findings Collaborate with stakeholders … will be considered in conjunction with applicable degrees) A minimum of 3 years of experience working in data science or machine learning Strong skills in machine learning techniques and statistical modeling (preferred: experience with sampling methods and LLMs) Hands-on proficiency with SQL, Python, and other data-focused programming languages (Azure experience is a plus) Proven problem-solving and More ❯

Must Have Some Experience With : 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 and limitations inherent in National Agency data holdings. Ability to … science, and applications-specific knowledge. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting National Agency collection, processing, storage, and analytic capability and limitations. Knowledge of … and collaboration skills Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language ( e.g. Python), statistical analysis ( e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management ( e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence More ❯

UK Flexible Contract type : Permanent Don't settle for dull. Live a life more Virgin. Our Team Stress Testing and IFRS9 Models work at the intersection of Data Science, Statistical Modelling and Economics within Virgin Money's Model Risk and Analytics function. We use data to support the business through model building or providing actionable insights from the data. … We draw on statistical modelling techniques to produce the best possible predictive models. What you'll be doing Providing input into the scoping, design, development, validation and implementation of credit risk models, in line with Bank standards and regulatory compliance requirements Independently leading statistical analysis to ensure the Retail and Business loan loss provision models currently in … of interpreting complex data utilising strong analytical skills, ideally demonstrated by a good degree in a numerate discipline subject (e.g. statistics, maths, engineering, econometrics) Expertise in the use of statistical analysis software (e.g. SAS, Python or R) as well as MS Office Excellent communication, listening and writing skills. An ability to listen, understand and respond professionally to a More ❯

the Trust Pharmacy, Business Intelligence, and Finance departments. Support and develop the EMIS pharmacy system, including building new reports and tools. Design and maintain medicines-related datasets to enhance analysis and decision-making. Manage day-to-day data operations , working closely with clinical and operational pharmacy staff to deliver timely and accurate data. Provide expert data insights and guidance … to pharmacy colleagues. Train and support pharmacy staff in information analysis techniques. Represent the pharmacy department at both internal and external meetings. Deputise for the Homecare and High Cost Drugs Pharmacist when required. About us We have 10000 fantastic people working hard to deliver quality services to our patients. Whatever your role, you help look after 370,000 people … pharmacy information analyst team. Conduct appraisals, support staff development, and embed Equality & Diversity values. Build positive working relationships within the Trust and with external stakeholders. Learning & Development Deliver data analysis training for pharmacy staff. Promote high-quality data entry to ensure report accuracy. Maintain and develop personal expertise. Quality & Governance Develop and review SOPs and policies for pharmacy data More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Extensive experience in applying Natural Language Processing and Machine Learning techniques to real-world problems. • Deep understanding of state-of-the-art NLP models and architectures. • Strong background in statistical analysis and machine learning methodologies. • Proven ability to translate business requirements into technical solutions and deliver impactful results. • An interest in learning about financial and investment concepts and … in applying statistical analysis to financial data. • Excellent communication and collaboration skills. • Experience working with large text datasets in financial applications would be an advantage. • Advanced degree (MSc. or Ph.D.) in Data Science, Computer Science, Computational Linguistics or a related quantitative field with a focus on NLP/ML techniques. More ❯

Responsibilities: Supports process improvement through conducting analysis using internal program and external benchmark data. Determines areas of risk and improvement by developing/refining/monitoring metrics to create identification of and justification for improvements. Conducts statistical analysis to measure production, performance, and usage of services and products. Performs record keeping functions, ensuring all visualization and production … ad hoc and recurring business analytic support that includes, but is not limited to, business process mapping of intelligence-related activities, performance measures of intelligence-related activities, surveying stakeholders, statistical analysis of intelligence-related activities, and process improvement analysis. Qualifications: At least 8 years of experience conducting analysis relevant to this position with at least a portion More ❯

project his position requires employees to be located in the Huntsville, AL area in order to report to work on-site at Redstone. Responsibilities Provide highly complex data mining, statistical analysis, trend analysis, and causal analysis. Perform as a technical lead responsible for monitoring and providing monthly contract reports and deliverables. Responsible for integrating multiple disciplines in … analytic tools, procedures, and methodologies used. Take structured and unstructured data and distill the information into a cohesive analytical product for a contracting functional business area audience. Support pattern analysis methods to formulate recommendations to operational managers based upon exploiting patterns in the past, current, and anticipated operational environment. Education and Experience 8+ years in a technical field BA More ❯

per year Typical skills you can expect to learn on this placement will include: Teamworking through working with multidisciplinary teams Communication (written & verbal) Time management Problem-solving Networking Data analysis and management Technical skills (detailed within each role description) The Roles (2 available) This advert contains multiple roles. Please read each role carefully before proceeding as you will be … in the fields of Biostatistics and Data Science. Our Biostatistics department contributes throughout drug development and supply, supporting scientists and clinicians in the areas of medicine discovery, design and analysis of clinical trials, as well as non-clinical activities ensuring the quality and safety of products delivered to patients. We do this by providing statistical advice on the … experimental design of studies or clinical trial design (e.g. sample size, randomisation scheme etc.), performing statistical analysis and interpretation of results, providing quantitative support to translational medicine practice, and supporting Chemistry, Manufacturing and Controls (CMC) and product transition to Global Supply Chain. Additionally, we are growing our cutting-edge statistical innovation and Data Science capabilities by expanding More ❯