Research Intern - Machine Learning and Natural Language Processing (PhD)

Research Intern - Machine Learning and Natural Language Processing (PhD)

Internship 20000 - 30000 € / year (est.) Home office (partial)
Thomson Reuters

At a Glance

  • Tasks: Lead innovative research in NLP and ML, driving experiments and sharing findings.
  • Company: Thomson Reuters Labs, a leader in AI and real-world applications.
  • Benefits: Flexible hybrid work, competitive benefits, and career development opportunities.
  • Other info: Join a culture of inclusion, flexibility, and social impact.
  • Why this job: Make a real-world impact while collaborating with global experts in cutting-edge technology.
  • Qualifications: PhD student in relevant field with strong NLP and ML skills.

The predicted salary is between 20000 - 30000 € per year.

Are you passionate about pushing the boundaries of NLP and ML research? Thomson Reuters Labs in London is seeking a motivated research intern to lead an independent research project at the intersection of cutting‑edge AI and real‑world applications.

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. Labs innovates 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.

About The Role: As a Research Intern, you’ll take ownership of a research project aligned with Thomson Reuters products, working alongside a diverse, interdisciplinary team of global experts. The internship duration at Thomson Reuters Labs is typically six months with a flexible start date aligned with your schedule.

The Opportunity: As a Research Intern, you’ll take ownership of a research project aligned with Thomson Reuters products, working alongside a diverse, interdisciplinary team of global experts. The internship duration at Thomson Reuters Labs is typically six months with a flexible start date aligned with your schedule.

What You’ll Do:

  • Drive Research: Lead experiments to answer a cutting‑edge research question, designing evaluations and analyzing results.
  • Innovate: Explore novel approaches and emerging technologies that advance TR’s product portfolio.
  • Collaborate & Disseminate: Work with experienced research scientists and share your findings through internal presentations and external publications.

About You:

  • Academic Foundation: Graduate / Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field with demonstrated research experience (at least 1 publication required).
  • Technical Expertise: Strong understanding of NLP and ML methodologies, including experience with Large Language Models. Proven ability to design, implement, and evaluate ML experiments. Proficiency in Python and relevant frameworks (PyTorch, TensorFlow, Hugging Face, etc.).
  • Research Skills: Experience working with unstructured datasets and applying data preprocessing techniques. Data‑driven approach to problem‑solving and decision‑making.
  • Practical Experience: Familiarity with version control systems (GitHub, GitLab). Exposure to cloud platforms (AWS, Azure, or Google Cloud).
  • Collaboration: Strong communication skills and enthusiasm for teamwork.

We Value Potential: This is our wish list, but we understand few candidates will check every box. If you’re excited about this opportunity, meet most of these criteria, and are eager to grow as a researcher, we want to hear from you.

What’s in it For You?

  • 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.
  • Flexibility & Work‑Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work‑life balance.
  • Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real‑world solutions. Our Grow My Way programming and skills‑first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI‑enabled future.
  • Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company‑wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
  • Culture: Globally recognized, award‑winning reputation for inclusion and belonging, flexibility, work‑life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge your Thinking, Act Fast / Learn Fast, and Stronger Together.
  • Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑b‑no consulting projects and Environmental, Social, and Governance (ESG) initiatives.
  • Making a Real‑World Impact: We are one of the few companies globally 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.

Equal Employment Opportunity Statement: As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business 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, age, marital status, citizenship status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

Research Intern - Machine Learning and Natural Language Processing (PhD) employer: Thomson Reuters

Thomson Reuters Labs in London is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a strong emphasis on employee growth through continuous learning opportunities and a flexible hybrid work model, interns can thrive while contributing to meaningful research at the forefront of AI applications. The company also prioritises work-life balance and social impact, making it a rewarding place for those passionate about making a difference in the world.

Thomson Reuters

Contact Detail:

Thomson Reuters Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Intern - Machine Learning and Natural Language Processing (PhD)

Tip Number 1

Network like a pro! Reach out to current or former employees at Thomson Reuters Labs on LinkedIn. Ask them about their experiences and any tips they might have for landing the internship. Personal connections can make a huge difference!

Tip Number 2

Prepare for your interview by diving deep into NLP and ML topics. Brush up on recent advancements and be ready to discuss how you can contribute to their projects. Show them you’re not just passionate but also knowledgeable!

Tip Number 3

Don’t underestimate the power of a good portfolio! Showcase your research projects, publications, and any relevant work on platforms like GitHub. This gives them a tangible sense of your skills and creativity.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about the opportunity. Don’t forget to tailor your application to highlight your fit for the role!

We think you need these skills to ace Research Intern - Machine Learning and Natural Language Processing (PhD)

NLP methodologies
ML methodologies
Large Language Models
Python
PyTorch
TensorFlow
Hugging Face

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to highlight your experience in NLP and ML. We want to see how your skills align with the research projects at Thomson Reuters Labs, so don’t hold back on showcasing relevant publications and technical expertise!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our innovative projects. Be sure to mention any specific research questions or ideas you’re excited about exploring during your internship.

Showcase Your Research Experience:Since we’re looking for someone with demonstrated research experience, make sure to highlight your past projects and any publications. We love seeing how you’ve tackled complex problems and what methodologies you’ve used!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy to do!

How to prepare for a job interview at Thomson Reuters

Know Your Research

Before the interview, dive deep into your research area. Be prepared to discuss your previous projects, especially any publications you have. This shows your passion for NLP and ML and demonstrates your ability to lead independent research.

Showcase Your Technical Skills

Brush up on your technical expertise, particularly in Python and frameworks like PyTorch or TensorFlow. Be ready to discuss how you've applied these skills in real-world scenarios, especially with unstructured datasets and ML experiments.

Prepare for Collaboration Questions

Since teamwork is key at Thomson Reuters Labs, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to a team’s success in past projects.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the current projects at Thomson Reuters Labs or how they envision the future of AI in their products. This shows your genuine interest and enthusiasm for the role.