This position is in the team of Thomson Reuters, a leader in legal and news services.

The summary of the opportunity from Joinrs AI: Thomson Reuters seeks a Data Science Intern for a full-time, full-remote role. The ideal candidate is pursuing a STEM degree (Science, Technology, Engineering, and Mathematics) and has experience with machine learning models. You will integrate AI into Reuters News tooling and collaborate with senior scientists. We offer comprehensive benefits, flexible vacation, mental health days, and professional growth opportunities.

Who are we looking for?

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. Candidate will work with senior Data Scientists on data acquisition, training, and performance measurements.

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

Required Skills and Experience:

Currently pursuing a degree in Data Science, Data Engineering, or Computer Science with a focus on Data Science.
Have 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.
Understand 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?

You will join our inclusive culture of world-class talent, where we are committed to your personal and professional growth through:

Wellbeing: Comprehensive benefit plans; flexible and supportive benefits for work-life balance: flexible vacation, two company-wide Mental Health Days Off; work from another location for up to a total of 8 weeks in a year, 4 of those weeks can be out of the country and the remaining in the country, Headspace app subscription; retirement, savings, tuition reimbursement, and employee incentive programs; resources for mental, physical, and financial wellbeing.
Culture: Globally recognized and award-winning reputation for equality, diversity and inclusion, flexibility, work-life balance, and more.
Learning & Development: LinkedIn Learning access; internal Talent Marketplace with opportunities to work on projects cross-company; Ten Thousand Coffees Thomson Reuters café networking.
Social Impact: Ten employee-driven Business Resource Groups; two paid volunteer days annually; Environmental, Social and Governance (ESG) initiatives for local and global impact.
Purpose Driven Work: We have a superpower that we’ve never talked about with as much pride as we should – we are one of the only companies on the planet that helps its customers pursue justice, truth and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Benefits

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. In addition, Thomson Reuters offers market leading work life benefits with competitive vacation, sick and safe paid time off, paid holidays (including two company mental health days off), parental leave, sabbatical leave. These benefits meet or exceeds the requirements of paid time off in accordance with any applicable state or municipal laws. Finally, Thomson Reuters offers the following additional benefits: optional hospital, accident and sickness insurance paid 100% by the employee; optional life and AD&D insurance paid 100% by the employee; Flexible Spending and Health Savings Accounts; fitness reimbursement; access to Employee Assistance Program; Group Legal Identity Theft Protection benefit paid 100% by employee; access to 529 Plan; commuter benefits; Adoption & Surrogacy Assistance; Tuition Reimbursement; and access to Employee Stock Purchase Plan.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The location(s) for this role include one or more of the following metro locations: Los Angeles, New York City, San Francisco, Washington, DC. The base compensation range for the role in any of those locations is $0 - $0. The location(s) for this role include one or more of the following states: CA, CO, CT, IL, NV, TX, WA and/or remote. The base compensation range for the role in any of those locations is $0 - $0. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs.

Data Science Intern - 100% Remote