Thomson Reuters
Data Science Intern
Thomson Reuters, San Francisco, California, United States, 94199
Data Science Intern
We are seeking a
Data Science Intern
to contribute to the incorporation of the next generation of Artificial Intelligence into Reuters News tooling. In this role, the candidate is expected to work on an engineering team integrating deep learning and machine learning models into cloud-based applications. The candidate will work with senior Data Scientists on data acquisition, training, and performance measurements.About The Role:As a
Data Science Intern , you will:Research machine learning models and/or systems.Identify the correct model to use for Reuters News.Integrate machine learning models into Reuters systems.Acquire and process data for various use cases.Train and evaluate machine learning models.About You:You are a fit for the position of
Data Science Intern
if your background includes:Required Skills and Experience:Currently pursuing a degree in Data Science, Data Engineering, or Computer Science with a focus on Data Science.A good understanding of, and academic experience with, deep learning and machine learning models.Hands-on experience in one or more programming languages, such as Python or JavaScript.Familiarity with common machine learning and natural language processing evaluation metrics, such as accuracy, precision, and recall.Understanding of API development and best practices.Comfortable with Agile practices.Academic experience with cloud technologies such as AWS, Azure, or GCP, and exposure to automation, system monitoring, and cloud-native applications.Academic experience working on group software projects.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Preferred Skills and Experience:Software engineering practical experience or degree.Familiarity with building machine learning models and/or systems.Ability to translate the latest research into implementations addressing our use cases.Exposure to Computer Vision tasks, such as feature engineering, image processing, image classification, object detection, OCR, etc.Familiarity with structured and unstructured databases.What's in it For You?Wellbeing:
Comprehensive benefit plans; flexible and supportive benefits for work-life balance.Culture:
Globally recognized for equality, diversity and inclusion.Learning & Development:
LinkedIn Learning access; internal Talent Marketplace.Social Impact:
Employee-driven Business Resource Groups; two paid volunteer days annually.Purpose Driven Work:
Helping customers pursue justice, truth and transparency.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. This job posting will close 11/30/2024.AccessibilityAs a global business, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
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We are seeking a
Data Science Intern
to contribute to the incorporation of the next generation of Artificial Intelligence into Reuters News tooling. In this role, the candidate is expected to work on an engineering team integrating deep learning and machine learning models into cloud-based applications. The candidate will work with senior Data Scientists on data acquisition, training, and performance measurements.About The Role:As a
Data Science Intern , you will:Research machine learning models and/or systems.Identify the correct model to use for Reuters News.Integrate machine learning models into Reuters systems.Acquire and process data for various use cases.Train and evaluate machine learning models.About You:You are a fit for the position of
Data Science Intern
if your background includes:Required Skills and Experience:Currently pursuing a degree in Data Science, Data Engineering, or Computer Science with a focus on Data Science.A good understanding of, and academic experience with, deep learning and machine learning models.Hands-on experience in one or more programming languages, such as Python or JavaScript.Familiarity with common machine learning and natural language processing evaluation metrics, such as accuracy, precision, and recall.Understanding of API development and best practices.Comfortable with Agile practices.Academic experience with cloud technologies such as AWS, Azure, or GCP, and exposure to automation, system monitoring, and cloud-native applications.Academic experience working on group software projects.Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Preferred Skills and Experience:Software engineering practical experience or degree.Familiarity with building machine learning models and/or systems.Ability to translate the latest research into implementations addressing our use cases.Exposure to Computer Vision tasks, such as feature engineering, image processing, image classification, object detection, OCR, etc.Familiarity with structured and unstructured databases.What's in it For You?Wellbeing:
Comprehensive benefit plans; flexible and supportive benefits for work-life balance.Culture:
Globally recognized for equality, diversity and inclusion.Learning & Development:
LinkedIn Learning access; internal Talent Marketplace.Social Impact:
Employee-driven Business Resource Groups; two paid volunteer days annually.Purpose Driven Work:
Helping customers pursue justice, truth and transparency.In the United States, Thomson Reuters offers a comprehensive benefits package to our employees. Our benefit package includes market competitive health, dental, vision, disability, and life insurance programs, as well as a competitive 401k plan with company match. This job posting will close 11/30/2024.AccessibilityAs a global business, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
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