Applied Research Intern

vor 7 Monaten

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?**

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

- ** Hybrid Work Model**:We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.
- ** Wellbeing**:Comprehensive benefit plans; flexible and supportive benefits for work-life balance: global minimum parental leave, 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; enterprise-wide company learning days, 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.
- ** P**urpose-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.

**#LI-IG1**
- DISCLAIMER _
- The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inve

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