At a Glance
- Tasks: Lead innovative AI/ML research and shape product features at Thomson Reuters Labs.
- Company: Join the cutting-edge AI Research & Development team at Thomson Reuters.
- Benefits: Enjoy flexible work, comprehensive benefits, and career growth opportunities.
- Other info: Be part of a culture that values inclusion, work-life balance, and social impact.
- Why this job: Make a real-world impact by solving complex problems in legal, tax, and media sectors.
- Qualifications: PhD or Master’s with 7+ years in AI/ML and proven leadership experience.
The predicted salary is between 100000 - 140000 € per year.
This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization. Are you excited about working at the forefront of applied research in an industry setting? TR Labs is the AI Research & Development arm of Thomas Reuters. We are seeking scientists with a passion for solving problems using state‑of‑the‑art artificial intelligence and machine learning.
What does Thomson Reuters Labs do? We experiment, we build, we deliver. Our core mission is to innovate industry‑leading solutions for Legal, Tax & Accounting, Risk, and News Media professionals. We systematically explore and develop new technologies, particularly those in relevant areas of AI/ML, with an unwavering focus on customer problems and opportunities.
About The Role: As a Lead Applied Scientist, you will define research strategy and lead high‑impact initiatives that shape Thomson Reuters’ AI/ML roadmap across multiple product features. You will drive innovation in specialized domains such as legal reasoning, document understanding, or knowledge graphs, establishing best practices and technical vision. You will provide thought leadership internally and externally, mentoring scientists across Labs and leading stakeholder engagement. You will develop a deep understanding of customer problems and the data that informs them.
About You:
- PhD or Master’s degree with equivalent industry experience in Computer Science, Machine Learning, or related field
- 7+ years of hands‑on experience building production IR, NLP, ML, or GenAI systems leveraging modern techniques
- Demonstrated experience leading through others in cross‑functional teams to deliver end‑to‑end AI capabilities
- Strong product mindset with ability to translate complex customer problems into successful AI applications
- Proven ability to demonstrate novel methods that influence product roadmaps and business outcomes
- Outstanding communication and analytical skills
- Deep expertise in RAG architectures, agentic frameworks, tool‑using systems, and evaluation methodologies
- Significant experience developing novel methods for complex professional domains such as medical, tax, or law
- Publications at top‑tier venues (ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, KDD)
- Experience delivering production code with well‑managed software/MLOps practices
What’s in it For You?
- Hybrid Work Model: flexible hybrid working environment (2–3 days a week in the office depending on the role) for office‑based roles.
- Flex My Way: supportive workplace policies designed to help manage personal and professional responsibilities, allowing up to 8 weeks of work from anywhere per year.
- Career Development and Growth: culture of continuous learning and skill development, including Grow My Way programming and skills‑first approach.
- Industry Competitive Benefits: comprehensive benefit plans including flexible vacation, two company‑wide mental health days off, access to Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial well‑being.
- Culture: globally recognized reputation for inclusion and belonging, flexibility, work‑life balance, etc.
- Social Impact: two paid volunteer days off annually and opportunities to get involved with pro‑bono projects and ESG initiatives.
- Making a Real‑World Impact: helping customers pursue justice, truth, and transparency.
Our use of AI within the recruitment process supports parts of our global recruitment. Unless you opt‑out, the AI system will assess the information provided and compare it to the requirements listed for the role, presenting the result to our recruitment personnel for further review. This tool assists human decision‑making. In the United States, Thomson Reuters offers a comprehensive benefits package, including flexible work‑life benefits and a competitive 401(k) plan with company match. We are proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace. Thomson Reuters makes reasonable accommodations for applicants with disabilities and for sincerely held religious beliefs in accordance with applicable law.
Lead Applied Scientist in London employer: Thomson Reuters
Thomson Reuters Labs is an exceptional employer, offering a dynamic work environment at the cutting edge of AI research and development. With a strong commitment to employee growth through continuous learning initiatives and a flexible hybrid work model, we prioritise work-life balance and inclusivity. Our comprehensive benefits package, including mental health support and opportunities for social impact, ensures that our employees thrive both personally and professionally while making a meaningful difference in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied Scientist in London
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your expertise! Consider writing articles or sharing insights on platforms like Medium or LinkedIn. This not only showcases your knowledge but also gets you noticed by potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI/ML. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 Lead Applied Scientist in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see that you’re genuinely excited about solving real-world problems and innovating in this space.
Tailor Your Experience:Make sure to highlight your relevant experience in applied research and leadership. We’re looking for specific examples of how you’ve driven innovation and led teams in your previous roles, so don’t hold back!
Be Clear and Concise:While we love detail, clarity is key! Make your application easy to read by using straightforward language and structuring your thoughts logically. This will help us understand your qualifications quickly.
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 both current and future openings.
How to prepare for a job interview at Thomson Reuters
✨Know Your AI/ML Stuff
Make sure you brush up on the latest trends and technologies in AI and machine learning. Be ready to discuss your hands-on experience with production systems, especially in areas like NLP or GenAI. This will show that you're not just familiar with the theory but can apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Lead Applied Scientist, you'll need to demonstrate your ability to lead cross-functional teams. Prepare examples of how you've successfully guided projects and mentored others. Highlight your thought leadership and how you've influenced product roadmaps in previous roles.
✨Understand Customer Needs
Dive deep into understanding customer problems related to legal reasoning, document understanding, or knowledge graphs. Be prepared to discuss how your research and innovations can directly address these issues. This shows that you have a strong product mindset and can translate complex problems into actionable solutions.
✨Communicate Clearly
Outstanding communication is key for this role. Practice explaining complex concepts in simple terms, as you'll need to engage with various stakeholders. Think about how you can convey your ideas effectively, whether in presentations or casual discussions during the interview.