At a Glance
- Tasks: Lead innovative research projects in NLP and ML at Thomson Reuters Labs.
- Company: Join a globally recognised tech leader with a collaborative culture.
- Benefits: Enjoy flexible work, competitive pay, and comprehensive health benefits.
- Other info: Flexible hybrid work model and opportunities for career growth.
- Why this job: Make a real-world impact while advancing your research skills in AI.
- Qualifications: Pursuing a PhD or MSc in relevant fields with strong NLP and ML knowledge.
The predicted salary is between 500 - 1500 £ per month.
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
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 cutting‑edge research questions, 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
The ideal candidate has:
- Academic Foundation: Currently enrolled in a PhD program in Computer Science, Computational Linguistics, or related field, OR hold an MSc in a relevant discipline with demonstrated research experience (publications, thesis work, or research collaborations).
- 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.
- 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.
- 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.
- 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‑bono 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.
About Us: Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media.
Research Intern - Machine Learning and Natural Language Processing employer: TRSS
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 and real-world applications. The company also prioritises work-life balance and social impact, making it an ideal place for those passionate about making a difference.
StudySmarter Expert Advice🤫
We think this is how you could land Research Intern - Machine Learning and Natural Language Processing
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Thomson Reuters. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects related to NLP and ML. This is your chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining your research and technical skills clearly and confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the Thomson Reuters team.
We think you need these skills to ace Research Intern - Machine Learning and Natural Language Processing
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for NLP and ML shine through! We want to see how excited you are about pushing the boundaries of research and how it aligns with our mission at Thomson Reuters Labs.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight relevant experiences and skills that match the job description. We love seeing how your background fits into the role of Research Intern, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and potential contributions to our team.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Thomson Reuters Labs.
How to prepare for a job interview at TRSS
✨Know Your Research
Before the interview, dive deep into Thomson Reuters' recent projects and publications in NLP and ML. Familiarise yourself with their innovative approaches and think about how your research interests align with their work. This will show your genuine enthusiasm and help you stand out.
✨Showcase Your Technical Skills
Be ready to discuss your experience with Python and relevant frameworks like PyTorch or TensorFlow. Prepare examples of past projects where you've implemented ML experiments or worked with unstructured datasets. This will demonstrate your technical expertise and problem-solving abilities.
✨Prepare for Collaboration Questions
Since teamwork is key at Thomson Reuters Labs, think of examples that highlight your collaboration skills. Be prepared to discuss how you've worked with diverse teams in the past and how you can contribute to a multidisciplinary environment. This will show you're a great fit for their culture.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your interest in their research direction and future projects. Inquire about the challenges they face in NLP and ML or how they envision the role evolving. This not only shows your curiosity but also your commitment to contributing meaningfully.
