At a Glance
- Tasks: Join us in developing cutting-edge AI solutions for risk and fraud investigation.
- Company: Thomson Reuters Labs, a leader in applied research and innovation.
- Benefits: Enjoy flexible work arrangements, competitive benefits, and career development opportunities.
- Other info: Be part of a diverse team committed to inclusion and social impact.
- Why this job: Make a real-world impact while working with state-of-the-art machine learning and NLP technologies.
- Qualifications: PhD or Master's with 3+ years in NLP/ML; strong coding skills in Python required.
The predicted salary is between 36000 - 60000 € per year.
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and our customers through applied research in natural language processing and machine learning. We work closely with product and domain experts to identify compelling solutions at the intersection of user needs and technical feasibility. Our team is responsible for designing the next generation of risk and fraud investigation software. We own AI innovation for Thomson Reuters’ core Risk and Fraud products, including CLEAR, CLEAR Adverse Media, and CLEAR Risk Inform.
About The Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval techniques, and prompting workflows, to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
As An Applied Scientist, You Will:
- Work as part of a team to develop and deploy live production systems.
- Independently determine appropriate data and modelling choices.
- Operate in an agile way using quick iterations guided by customers’ needs.
- Provide input on project objectives and goals.
- Communicate effectively with stakeholders.
- Partner with Engineering to ensure well-managed software delivery.
- Be an NLP expert with experience in the end-to-end AI development life cycle.
About You: You’re a fit for the role of Applied Scientist if your background includes:
- PhD in a relevant discipline or Master’s plus a comparable level of experience.
- 3+ years of hands-on industry experience building NLP / ML / Knowledge Graph / GenAI systems for commercial applications.
- Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks).
- Experience writing production code.
- Outstanding communication, problem-solving, and analysis skills.
- Excellent coding skills in Python.
- Proficiency with Git, AWS, Azure for remote model development and deployment.
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.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals.
Applied Scientist III in London employer: Thomson Reuters
Thomson Reuters Labs is an exceptional employer, offering a dynamic work environment where innovation thrives at the intersection of applied research and real-world impact. With a strong commitment to employee growth through continuous learning opportunities, flexible work arrangements, and comprehensive benefits, we empower our team to achieve a healthy work-life balance while contributing to meaningful projects that uphold justice and transparency globally. Join us in a culture that values inclusion, collaboration, and the pursuit of excellence, making a tangible difference in the industries that shape society.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist III in London
✨Tip Number 1
Network like a pro! Reach out to people in your field, 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! If you've got a project or a portfolio that highlights your NLP and ML expertise, share it during interviews. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the technical interview! Brush up on your coding skills in Python and be ready to discuss your approach to model training and evaluation. We want to see how you think!
✨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 genuinely interested in joining our team.
We think you need these skills to ace Applied Scientist III in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for applied research and AI shine through. We want to see that you’re genuinely excited about solving real-world problems with cutting-edge technology!
Tailor Your Experience:Make sure to highlight your relevant experience in NLP and machine learning. We’re looking for specific examples of how you’ve used these skills in past roles, so don’t hold back on the details!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your ideas effectively. Remember, we want to understand your thought process!
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 the role. We can’t wait to hear from you!
How to prepare for a job interview at Thomson Reuters
✨Know Your NLP and ML Stuff
Make sure you brush up on your knowledge of natural language processing and machine learning techniques. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you solved them. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Your Coding Skills
Since coding is a big part of the role, be prepared to demonstrate your Python skills. You might be asked to solve a coding problem or explain your thought process behind a piece of code you've written. Practising common algorithms and data structures can really help you shine here.
✨Communicate Clearly
Effective communication is key, especially when working with stakeholders and team members. Practice explaining complex concepts in simple terms. You want to show that you can bridge the gap between technical details and business objectives, making it clear how your work aligns with the company's goals.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the team, the projects you'll be working on, and the company culture. This not only shows your interest in the role but also helps you determine if it's the right fit for you. Plus, it gives you a chance to engage in a meaningful conversation.
