Industry & Function AI Decision Science Manager Accenture PlcIndustry & Function AI Decision Science ManagerRaleigh, NCp>In Consulting we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate. Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services-creating tangible value at speed and scale.
Senior Manager of Data Science Datum Software, IncSenior Manager of Data ScienceRaliigh, NCem>The ideal candidate will have strong leadership capabilities combined with hands-on technical expertise in machine learning, large language models (LLMs), generative AI, and production-grade AI systems. We are seeking a hands-on Manager of Data Science to lead a high-impact team focused on developing AI-driven solutions across a large-scale content ecosystem.
Manager, Medical Customer Analytics and Insights - Specialty & Pipeline GSK plcManager, Medical Customer Analytics and Insights - Specialty & PipelineDurham, NCp>As a GSK Medical Data Scientist you will have the opportunity to grow your data scientists skills by analysing a variety of disparate data sources (including structured and unstructured data ) and build innovative machine learning algorithms to uncover powerful analytic findings at a customer level that drive data-driven decision making for Medical Affairs strategic planning and execution. Key Responsibilities as Data Science Manager, Medical Analytics: Develops and delivers high quality, machine learning solutions to uncover learnings for the US Medical Affairs at the patient, HCP/EE segment, and health system level aligned with analytical priorities for: Segmentation.
Technology Strategy Manager/Sr Manager, CG&S, Life Sciences or Industrial Accenture PlcTechnology Strategy Manager/Sr Manager, CG&S, Life Sciences or IndustrialRaleigh, NCKnown for our ability to execute at speed, we help our clients disrupt their markets through creating strategies that capabilities in operating model, enterprise architecture, and emerging technologies such as GenAI, rethinking business models for growth, efficiency, and customer satisfaction. • Build strong relationships with senior clients that go beyond the workplace, including beginning to develop C-suite relationships; drive a spirit of collaboration and teaming with client while serving as a true trusted advisor.
Clinical Proposal Strategy Manager Veranex IncClinical Proposal Strategy ManagerRaleigh, NCAs the world's only end-to-end professional services firm focused on MedTech, we take clients' Vision to Velocity through our comprehensive service portfolio, with expertise in human centered design and product development, preclinical and clinical research, regulatory affairs, and market access and reimbursement consulting. You will partner cross-functionally with Clinical Operations, Business Development, Clinical Data Services, and Subject Matter Experts (SMEs) to develop robust study strategies, timelines, and budgets.
Decision Science Lead - Consumer Lending Experience Required Truist Financial CorpDecision Science Lead - Consumer Lending Experience RequiredRaleigh, NCUsing an interdisciplinary approach of leveraging concepts from business, applied statistics and math, operations research, information technology, process design and behavioral sciences, the incumbent will engage in consultative partnerships, aligning with the Line of Business (LOB) to produce analytic insights that help the business make informed, data-driven decisions with an objective of driving quantifiable, optimized business results in support of company goals. Incumbent should have an understanding of various database environments (IBM DB2, Oracle), technical programming skills (SAS, SQL, Toad), exposure to applied data science tools (R, Python, SAS E-Miner), familiarity with data visualization and BI tools (Tableau, MicroStrategy), and demonstrated proficiency in Microsoft Office Suite (Excel, PowerPoint, Word).