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Understanding of statistical concepts and predictive modeling fields. The Corporate Internal Audit team is seeking a Senior Specialist, Internal Audit, Risk Analytics/Modeling. The role includes performing testing as part of audit reviews of various model types including: Capital Stress Testing (CST), Fraud, Anti-Money Laundering (AML), Machine Learning, Credit risk, Interest Rate risk, Margin risk, Investment risk, and Business Intelligence/Marketing.
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. The Payment Model Implementation Analytics Consultant will provide support on a number of payment model implementation contracts requiring intermediate SAS, R, Python, or SQL experience as well as knowledge of statistics and research methodology.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Imagine harnessing the power of machine learning models, big data, and predictive analytics to transform the landscape of data center sustainability. Experience with Exploratory Data Analyses, Inference analysis, Predictive analysis (Regression, Classification etc.
$98,300 - $208,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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They will build pipelines and workflow tools that leverage SQL, Python, Microsoft Azure Synapse Analytics (ASA), and Microsoft Power Platform to support multiple audits. Experience with data mining and predictive modeling techniques.
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This objective involves implementing advanced analytics techniques, such as predictive analytics and machine learning, to uncover patterns, trends, and opportunities. Solid technical skills in database management systems (DBMS), SQL querying, data warehousing concepts, and familiarity with data manipulation languages (e.g., Python, R) and analytics tools (e.g., Tableau, Power BI.
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Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
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Strong knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithms. Experience with big data processing frameworks such as Hadoop, Spark, PySpark, or Kafka, and hands-on experience with Google Cloud Platform (GCP.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics.
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Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Understand regulatory governing bodies and wound care product requirements such as the CMS (legal medical record: authentication; authorship integrity), Joint Commission Standards (or like non-profit healthcare accrediting organizations.
RemoteExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Intelligent Asset Management, With A Team of Leading Practitioners having deep functional & industry knowledge specializing in the areas of Asset Integrity and Reliability Management, Master Data Management, EAM & Maintenance Execution, Material & MRO Management, Industry Analytics and Digital Industrial Workforce.
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From predictive analytics to data-driven marketing and attribution, our unique approach is powered by our proprietary, end-to-end tech platform that enables the brands we serve to deliver a level of personalization, value, and satisfaction that are unrivaled in the fashion industry.
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Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources. Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes.
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In addition, the Senior Data Scientist leads the efforts to analyze and mine very large quantities of data, develops predictive models that solve complex problems, and presents findings to C-Suite executives and other management.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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The Business Analyst will also need an overall understanding of general business processes and commercial perspectives and have a passion for supporting big data capabilities that will be used to create new BI predictive analytics and visualization capabilities.
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Experience implementing RMS (Retail Merchandize System), RPAS (Retail Predictive Analytics), and RIB. Experience implementing RMS (Retail Merchandize System), RPAS (Retail Predictive Analytics), and RIB.
$113,325 - $188,875 a yearFull-timeExpandApply NowActive JobUpdated Today
predictive analytics jobs in Phoenix, AZ
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