Applied Research Intern

vor 1 Tag

Zug, Schweiz Thomson Reuters Vollzeit

Are you a curious and open-minded individual with an interest in programming and machine learning? Thomson Reuters Labs in Zug is seeking a ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing techniques.

**What does Thomson Reuters Labs do?** We experiment, we build, we deliver. We support the organization and our customers through applied research and development of new products and technologies. The Labs innovate collaboratively across our core segments in Legal, Tax & Accounting, Government, and Reuters News. We undertake a diverse portfolio of projects today, while investing in long term research for the future.

As an intern, you will be part of a diverse and interdisciplinary global team of experts. We hire specialists in Information Retrieval, Natural Language Processing, and Machine Learning, as well as Engineering and Design to drive the company’s digital and AI transformation. Thomson Reuters Labs is known for consistently delivering successful data-driven Artificial Intelligence solutions in support of high-growth products that serve Thomson Reuters customers in new and exciting ways.

The internship duration at Thomson Reuters Labs is typically up to six months and may be aligned with an academic semester or depending upon your availability, can begin immediately.

**About the role**

As a data scientist/research scientist intern you will:
**Experiment and Develop**: You can be involved in the entire model development lifecycle, building, testing and delivering high-quality solutions.

**Collaborate**: Working on a collaborative cross-functional team, you will learn from and partner with colleagues across the globe.

**Innovate**: You will have the opportunity to try new approaches and learn new technologies. You will contribute ideas and work on solving real-world challenges.

**About you**

This is our wish list. We understand that few people check every box. If you are excited about this opportunity, meet most of the following criteria, and are eager to learn, we want to hear from you
- Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Deep Neural Networks
- Are experienced in one or more programming languages (preferably Python) and have experience working in the Cloud (preferably AWS)
- Have experience with ML/NLP libraries such as PyTorch, TensorFlow, Scikit-learn, spaCy and HuggingFace
- Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing
- Are a student (or hold a degree) in Computer Science, Engineering, Statistics, Mathematics, or other quantitative disciplines
- Have good communication skills and the ability to work collaboratively as part of a team

**What's in it for you**
- Learning & Development: On-the-job coaching & learning as well as the opportunity to work with cutting-edge methods and technologies
- Plenty of Data and High-Impact Problems: Our scientists and engineers get to play with large datasets and discover new capabilities and insights in support of our high-impact products and customers. Thomson Reuters is best known for the globally respected Reuters News agency, but our company is also the leading source of information for legal, corporate and tax & Accounting professionals. We have over 60,000 TBs worth of legal, regulatory, news, and tax data
- Competitive Compensation: The opportunity to earn while learning new skills

Do you want to be part of a team helping re-invent the way knowledge professionals work? How about a team that works every day to create a more transparent, just and inclusive future? At Thomson Reuters, we’ve been doing just that for almost 160 years. Our industry-leading products and services include highly specialized information-enabled software and tools for legal, tax, accounting and compliance professionals combined with the world’s most global news services - Reuters. We help these professionals do their jobs better, creating more time for them to focus on the things that matter most: advising, advocating, negotiating, governing and informing.

We are powered by the talents of 25,000 employees across more than 75 countries, where everyone has a chance to contribute and grow professionally in flexible work environments that celebrate diversity and inclusion. At a time when objectivity, accuracy, fairness and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.

**Accessibility**

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, 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,

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