At a Glance
- Tasks: Lead AI solutions in NLP and machine learning to enhance Thomson Reuters' products.
- 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 innovating AI for real-world impact and shaping industries that matter.
- Qualifications: PhD or Master's with 5+ years in NLP/ML; strong coding skills in Python required.
- Other info: Be part of a diverse culture focused on inclusion, social impact, and professional growth.
The predicted salary is between 48000 - 72000 £ 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: Senior 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, prompting workflows, to build and optimize solutions. Their work ensures AI technologies are effectively aligned with business objectives, driving product innovation and value.
As a Senior Applied Scientist, you will:
- Own and manage end-to-end model development, guiding others in research, data engineering, and evaluation.
- Operate in an agile way, pushing for quick iterations guided by customers’ needs.
- Be accountable for all research deliverables on small to medium-sized projects.
- Work with stakeholders to define scope, determine feasibility, and translate business/customer objectives into technical requirements.
- Partner effectively with Engineering to ensure well-managed software delivery and co-design ML Ops processes related to model monitoring, evaluation, and retraining.
- Support and coach junior scientists by providing advice, mentoring, and training.
- Be an NLP expert.
About You: You’re a fit for the role of Senior Applied Scientist if your background includes:
- PhD in a relevant discipline or Master’s plus a comparable level of experience.
- 5+ years of hands-on 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 and ensuring well-managed software delivery.
- Demonstrable experience translating complex problems into successful AI applications.
- 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.
- 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.
- 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.
Senior Applied Scientist, NLP/KG/GenAI employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist, NLP/KG/GenAI
✨Tip Number 1
Familiarise yourself with Thomson Reuters' products, especially those related to risk and fraud investigation. Understanding how NLP and machine learning are applied in their solutions will help you articulate your ideas and demonstrate your enthusiasm during discussions.
✨Tip Number 2
Network with current employees or alumni who work at Thomson Reuters. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Stay updated on the latest trends in NLP, machine learning, and generative AI. Being able to discuss recent advancements or case studies in these areas can set you apart as a knowledgeable candidate.
✨Tip Number 4
Prepare to discuss your previous projects in detail, particularly those that involved model development and collaboration with cross-functional teams. Highlighting your experience in agile environments will resonate well with the role's requirements.
We think you need these skills to ace Senior Applied Scientist, NLP/KG/GenAI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP, machine learning, and generative AI. Use specific examples of projects you've worked on that align with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your passion for applied research and how your background makes you a perfect fit for the role. Mention any relevant experience with model training, evaluation design, and collaboration with stakeholders.
Showcase Technical Skills: Clearly outline your technical skills, especially in Python, Git, AWS, and Azure. Provide examples of how you've used these tools in previous roles to develop and deploy AI solutions.
Highlight Communication Abilities: Since the role involves collaborating with various teams, emphasise your communication and problem-solving skills. Include instances where you've successfully translated complex technical concepts into understandable terms for non-technical stakeholders.
How to prepare for a job interview at Thomson Reuters
✨Showcase Your Technical Expertise
As a Senior Applied Scientist, it's crucial to demonstrate your deep understanding of NLP, machine learning, and generative AI. Be prepared to discuss specific projects where you've applied these technologies, focusing on the challenges you faced and how you overcame them.
✨Prepare for Problem-Solving Questions
Expect to encounter questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex problems, especially those related to AI applications. Use examples from your past experience to illustrate your approach.
✨Emphasise Collaboration Skills
Thomson Reuters values teamwork, so highlight your experience working with cross-functional teams. Discuss how you've collaborated with product managers, engineers, and other stakeholders to deliver successful AI solutions, ensuring you convey your ability to communicate effectively.
✨Demonstrate Agile Mindset
Since the role involves operating in an agile environment, be ready to discuss your experience with agile methodologies. Share examples of how you've adapted to changing requirements and iterated on projects based on customer feedback, showcasing your flexibility and responsiveness.