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KPMG is currently seeking a Manager, NFR Data Science in Non-Financial Risk for our Consulting practice. Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Bachelor's degree from an accredited college/university in a relevant STEM field such as data science, computer science, engineering, mathematics, physics and other related fields. Lead technical teams, mentor junior data scientists, and grow data science expertise within the broader team, including offshore; collaborate with diverse, cross-functional teams to accurately identify and prioritize requirements, ensuring that AI/ML solutions meet the needs and expectations of various stakeholders.
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Serve as the technical lead on projects to design and develop advanced AI/ML solutions to meet clients' unique requirements, including participation in internal and external discussions to gather business use case requirements, provide advanced analytics and data science expertise and solution options for business problems.
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Bachelor's degree from an accredited college/university in GIS, geography, cartography, urban planning, computer or data science, D&A or other related field with GIS and data analytics experience.
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Work internally within KPMG's other areas within Tax, Audit and Advisory to advance the client understanding of Data Science, Artificial Intelligence, and Advanced Analytics; Work very closely with emerging technologies group within AI service providers (e.g., AWS, GCP, Azure) to provide a first-in-market solution approaches to complex business problems.
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Degree from an accredited college or university in computer science, engineering, or related field; relevant certifications such as Certified Kubernetes Administrator (CKA), Microsoft Certified Azure DevOps Engineer Expert is preferred but not required.
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Must be enrolled in an accredited college or university and pursuing the following degrees/majors: Bachelors and/or Masters in Business (Supply Chain, Logistics, Finance, Tax, or other business-related major), International Affairs (International Studies, Political Science, Sociology), Data or related degree, or equivalent program.
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Master's degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields; PhD from an accredited college/university is preferred.
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KPMG is currently seeking a Tax Intern to join our International Tax practice. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year.
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Provide expert oversight for teams building machine learning algorithms and data science solutions. KPMG is currently seeking a Manager to join our KPMG Lighthouse - Center of Excellence for Advanced Analytics.
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Follow this link to obtain salary ranges by city outside of CA: LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law.
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KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. KPMG complies with all local/state regulations regarding displaying salary ranges. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at ' Benefits & How We Work.
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KPMG is an affirmative action-equal opportunity employer. KPMG recruits on a rolling basis. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems.
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Spark your curiosity and ignite your career at The Lighthouse. Minimum of five years of experience leading teams of at least five data scientists, engineers, and other data & analytics professionals, including business development, requirements gathering, people development, and quality management using analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds.
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At KPMG, we believe nothing is more important than investing in our culture because It has an investment in our people, our future, and what we stand for as a firm. At KPMG, you can become an integral part of a dynamic team at one of the worlds top tax firms.
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science job Company: Kpmg in AR, France
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