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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Ph. D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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1-3 years of full-time post-graduation experience in the music, entertainment, sports, or financial services industry. Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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What you bring to the table: 3+ years professional experience in technology research in the emerging technology space or a related position (related investment banking, equity research, consulting, or journalism experience), preferably in artificial intelligence, quantum computing, blockchain, AR/VR, or other deeptech areas.
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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent PhD - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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The Data Science & AI team with Commercial Analytics & AI (CAAI) organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape.
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Preferably a master’s degree related to Intelligence Studies, Forensic Science, Security Studies, Computer Science, Cybersecurity, Data Analysis, or a related field. Behavioral Science/ Behavioral Analysis/Behavioral Threat Assessment experience or training.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities.
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Bachelors or Master's degree in Data Analytics, machine learning, Computer science, artificial intelligence, statistics, data science or related discipline. Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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We’re using artificial intelligence, autonomy, computer vision and marine robotics to create a difference in the world with underwater technology for our clients in offshore renewable energy and the subsea industry.
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data science artificial intelligence full time jobs in Brooklyn, NY
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