Senior Applied Scientist, NLP/KG/GenAI
Senior Applied Scientist, NLP/KG/GenAI

Senior Applied Scientist, NLP/KG/GenAI

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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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 in AI while making a real-world impact on justice and transparency.
  • Qualifications: PhD or Master's with 5+ years in NLP/ML; strong coding skills in Python required.
  • Other info: Be part of an inclusive culture that values diverse perspectives and community engagement.

The predicted salary is between 43200 - 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.

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. 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.

Senior Applied Scientist, NLP/KG/GenAI employer: TRSS

Thomson Reuters Labs is an exceptional employer, offering a dynamic work environment at the cutting edge of applied research in NLP and AI. With a strong emphasis on employee growth through continuous learning initiatives and a flexible hybrid work model, we prioritise work-life balance and well-being. Our inclusive culture fosters collaboration and innovation, empowering you to make a real-world impact while working alongside talented professionals dedicated to upholding justice and transparency.
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Contact Detail:

TRSS 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 the latest advancements in NLP, Knowledge Graphs, and Generative AI. Being well-versed in current trends and technologies will not only boost your confidence but also help you engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the field by attending relevant conferences or meetups. Building connections can provide insights into the company culture at Thomson Reuters Labs and may even lead to referrals, which can significantly enhance your chances of landing the job.

✨Tip Number 3

Prepare to discuss your past projects in detail, especially those involving model training and evaluation. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will demonstrate your problem-solving skills and technical expertise.

✨Tip Number 4

Showcase your collaborative skills by highlighting experiences where you've worked closely with product and engineering teams. Emphasising your ability to translate business needs into technical requirements will resonate well with the hiring team at Thomson Reuters Labs.

We think you need these skills to ace Senior Applied Scientist, NLP/KG/GenAI

PhD in a relevant discipline or equivalent experience
5+ years of hands-on experience in NLP, ML, Knowledge Graph, and GenAI systems
Proficiency in traditional and state-of-the-art NLP methods
Experience with Knowledge Graph algorithms and GenAI frameworks
Strong coding skills in Python
Familiarity with Git for version control
Experience with AWS and Azure for model development and deployment
Ability to translate complex problems into AI applications
Outstanding communication skills
Strong problem-solving abilities
Experience working in an agile environment
Collaboration skills with Product, Engineering, and Business stakeholders
Knowledge of model training and evaluation design
Experience in guiding research and data engineering efforts
Understanding of ML Ops processes related to model monitoring and retraining

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in NLP, machine learning, and generative AI. Focus on specific projects where you've applied these skills, especially in commercial settings.

Craft a Compelling Cover Letter: In your cover letter, express your passion for applied research and how your background aligns with the role. Mention specific technologies or methodologies you’ve worked with that are relevant to Thomson Reuters Labs.

Showcase Your Problem-Solving Skills: Provide examples of how you've translated complex problems into successful AI applications. Use metrics or outcomes to demonstrate the impact of your work.

Highlight Collaboration Experience: Emphasise your ability to work with cross-functional teams, particularly with product and engineering stakeholders. Mention any agile methodologies you've used to iterate on projects based on customer feedback.

How to prepare for a job interview at TRSS

✨Showcase Your Expertise in NLP and ML

Be prepared to discuss your hands-on experience with natural language processing and machine learning. Highlight specific projects where you've successfully implemented these technologies, especially in commercial applications.

✨Demonstrate Problem-Solving Skills

Thomson Reuters Labs values innovative solutions. Be ready to share examples of how you've translated complex problems into effective AI applications, showcasing your analytical and problem-solving abilities.

✨Familiarise Yourself with Agile Methodologies

Since the role involves working in an agile environment, brush up on agile principles and be ready to discuss how you've collaborated with cross-functional teams to iterate quickly based on customer feedback.

✨Prepare for Technical Questions

Expect technical questions related to model training, evaluation design, and coding in Python. Practise explaining your thought process clearly, as communication is key in this role.

Senior Applied Scientist, NLP/KG/GenAI
TRSS
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  • Senior Applied Scientist, NLP/KG/GenAI

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-05-26

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    TRSS

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