At a Glance
- Tasks: Join a global team to develop AI solutions and tackle real-world challenges.
- Company: Thomson Reuters Labs, a leader in digital and AI transformation.
- Benefits: Flexible work, competitive pay, mental health support, and career development.
- Why this job: Make a real impact while learning from industry experts in a collaborative environment.
- Qualifications: MSc or PhD in machine learning/NLP; experience with Python and ML frameworks.
- Other info: Enjoy a hybrid work model and opportunities for community involvement.
The predicted salary is between 500 - 1500 £ per month.
As an Applied Science 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 six months with a flexible start date aligned with your availability.
About The Role:
- 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:
- You are fit for the Applied Scientist Intern role if your background includes some of the following:
- Hold an MSc degree related to machine learning and NLP or be currently enrolled in a PhD program in a relevant discipline.
- Have an understanding and experience with Natural Language Processing, and/or Machine Learning methods including Large Language Models.
- Have experience creating and evaluating experiments related to Machine Learning or Large Language Models.
- Have proficiency in implementing solutions using Python, DL/ML/NLP frameworks, and relevant tools.
- Have experience in using code collaboration and versioning systems such as GitHub.
- Have familiarity with cloud tools such as Amazon AWS, MS Azure, or Google Cloud.
- Are comfortable working with unstructured datasets and are knowledgeable about tools and techniques for data cleaning and processing.
- Have a data-driven problem-solving and decision-making mindset.
- Have good communication skills and the ability to work collaboratively as part of a team.
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!
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 (Y)our 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-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. 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.
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. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
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, citizen 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.
Applied Science Intern employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Science Intern
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Thomson Reuters Labs on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since you'll be working with NLP and machine learning, make sure you can discuss your projects and experiences confidently. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Show your passion for innovation! During interviews, share your ideas on how you could contribute to their projects. This not only demonstrates your enthusiasm but also shows that you're already thinking about how to add value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at Thomson Reuters Labs.
We think you need these skills to ace Applied Science Intern
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for applied science and AI shine through! We want to see that you’re genuinely excited about the role and how you can contribute to our team.
Tailor Your CV: Make sure your CV is tailored to highlight your relevant skills and experiences. Focus on your background in machine learning, NLP, and any projects you've worked on that align with what we do at Thomson Reuters Labs.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this internship. Share specific examples of your work, your problem-solving mindset, and how you’ve collaborated with others in the past.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it shows you’re serious about joining our team at Thomson Reuters Labs.
How to prepare for a job interview at Refinitiv
✨Know Your Stuff
Make sure you brush up on your knowledge of Natural Language Processing and Machine Learning. Be ready to discuss specific projects or experiments you've worked on, especially those involving Python and relevant frameworks. This shows you're not just familiar with the theory but have practical experience too.
✨Show Your Collaborative Spirit
Since this role involves working in a cross-functional team, be prepared to share examples of how you've successfully collaborated with others. Highlight any experiences where you contributed ideas or solved problems as part of a team. This will demonstrate that you can thrive in a diverse environment.
✨Ask Smart Questions
Prepare thoughtful questions about the company’s approach to AI and data-driven solutions. This not only shows your interest in the role but also gives you insight into their culture and values. It’s a great way to engage with your interviewers and make a lasting impression.
✨Be Ready to Innovate
Think of a few innovative ideas or approaches related to the role that you could bring to the table. Whether it’s a new method for data processing or a unique application of machine learning, showcasing your creativity can set you apart from other candidates.