At a Glance
- Tasks: Lead AI research and develop innovative solutions for legal and tax professionals.
- Company: Thomson Reuters is a global leader in trusted content and technology for professionals.
- Benefits: Enjoy hybrid work, flexible vacation, mental health days, and career development opportunities.
- Why this job: Join a team driving AI innovation and making a real-world impact in justice and transparency.
- Qualifications: PhD or Master's with 7+ years in IR/NLP systems; strong coding and leadership skills required.
- Other info: Be part of an inclusive culture that values diverse perspectives and community engagement.
The predicted salary is between 48000 - 84000 £ per year.
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs in London is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, 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 informational retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our team is designing the next generation of search technology for Legal and Tax Professionals globally. We drive AI innovation for Thomson Reuters’ Core Research Products, including Westlaw, Practical Law, and Checkpoint.
About the Role: Lead Applied Scientists are experts in Machine Learning / NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation design to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
As a Lead Applied Scientist, you will:
- Innovate and drive solution delivery as a technical leader
- Be fully accountable for all research deliverables
- Provide input to the business and Labs leadership on long term AI strategy
- Lead and drive stakeholder engagement with other functions (UX, Product, Tech)
- Develop in-depth knowledge of customer problems and data
- Maintain scientific and technical expertise in one or more relevant areas as demonstrated through product deliverables, published research, and intellectual property
- Mentor and coach other scientists and engineers on best practices
- Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, or KDD
About You: You’re a fit for the role of Lead Applied Scientist if your background includes:
- PhD in a relevant discipline or Master’s plus a comparable level of experience
- 7+ years hands-on experience building IR / NLP systems for commercial applications
- Experience writing production code and ensuring well-managed software delivery
- Demonstrable experience translating complex problems into successful AI applications
- Professional experience scaling yourself and leading through others, in an applied research setting
- Outstanding communication, problem solving, and analysis skills
- Collaborating with Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback
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.
Lead Applied Scientist – Research Products employer: Refinitiv
Contact Detail:
Refinitiv Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Applied Scientist – Research Products
✨Tip Number 1
Familiarise yourself with the latest trends in information retrieval and natural language processing. Being well-versed in current technologies and methodologies will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the Thomson Reuters community on platforms like LinkedIn or relevant forums. Networking with current employees can provide insights into the company culture and expectations, which can be invaluable when preparing for your application.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those that involved machine learning and NLP. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Stay updated on Thomson Reuters' products and their impact on the legal and tax sectors. Understanding how your role as a Lead Applied Scientist can contribute to their mission will help you articulate your value during discussions.
We think you need these skills to ace Lead Applied Scientist – Research Products
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Machine Learning and Natural Language Processing. Focus on specific projects where you've built IR/NLP systems, showcasing your hands-on experience and any relevant publications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applied research and how it aligns with Thomson Reuters' mission. Mention specific AI solutions you've developed and how they relate to the role of Lead Applied Scientist.
Highlight Leadership Experience: Since the role requires mentoring and leading teams, emphasise any previous leadership roles or experiences where you successfully guided others in an applied research setting.
Showcase Communication Skills: Demonstrate your outstanding communication skills by providing examples of how you've collaborated with cross-functional teams. This could include working with product, engineering, or business stakeholders to deliver successful AI applications.
How to prepare for a job interview at Refinitiv
✨Showcase Your Expertise
As a Lead Applied Scientist, it's crucial to demonstrate your deep understanding of Machine Learning and NLP. Prepare to discuss your past projects, focusing on how you applied these technologies to solve real-world problems.
✨Prepare for Technical Questions
Expect technical questions that assess your knowledge in information retrieval and AI solutions. Brush up on relevant algorithms, frameworks, and your experience with production code to confidently tackle these queries.
✨Highlight Collaboration Skills
Thomson Reuters values teamwork across various functions. Be ready to share examples of how you've successfully collaborated with product, engineering, and business stakeholders to drive innovation and deliver value.
✨Discuss Your Vision for AI
Articulate your thoughts on the future of AI in the legal and tax sectors. Share insights on how you would align AI strategies with business objectives, showcasing your ability to think strategically about technology's role in enhancing products.