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- Tasks: Design and deliver AI solutions that enhance products using NLP and Machine Learning.
- Company: Join Thomson Reuters, a leader in trusted content and technology.
- Benefits: Enjoy flexible work, competitive pay, and comprehensive health benefits.
- Why this job: Make a real-world impact while working with cutting-edge AI technologies.
- Qualifications: PhD or Master's with 3+ years in NLP/ML; strong coding skills in Python.
- Other info: Be part of a diverse team committed to social impact and continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
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
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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. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
- 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. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
- 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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
- 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. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.
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. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
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. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.
As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.
Learn more on how to protect yourself from fraudulent job postings here.
More information about Thomson Reuters can be found on thomsonreuters.com.
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Applied Scientist III employer: Thomson Reuters
Contact Detail:
Thomson Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist III
✨Tip Number 1
Network like a pro! Reach out to folks in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your NLP and ML projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and machine learning. 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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied Scientist III
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Applied Scientist role. Highlight your experience in NLP and Machine Learning, and how it aligns with our mission at Thomson Reuters. We want to see how your skills can drive product innovation!
Showcase Your Projects: Include specific examples of projects you've worked on that demonstrate your expertise in AI development. Whether it's a Knowledge Graph or GenAI system, we love seeing real-world applications of your skills. Don’t forget to mention any production code you’ve written!
Communicate Clearly: Effective communication is key! When writing your application, be clear and concise about your experiences and achievements. We appreciate straightforwardness, so make sure your passion for the role shines through without any fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
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, especially those involving Knowledge Graphs or GenAI systems. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Coding Skills
Since coding is a big part of this role, be prepared to demonstrate your Python skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with Git and cloud platforms like AWS or Azure, as these are crucial for model development and deployment.
✨Communicate Clearly
Effective communication is key in this role. Practice explaining complex concepts in simple terms, as you'll need to convey ideas to stakeholders who may not have a technical background. Think about how you can articulate your project objectives and goals clearly during the interview.
✨Embrace Agile Methodologies
Since the company operates in an agile environment, be ready to discuss your experience with quick iterations and adapting to customer needs. Share examples of how you've successfully collaborated with teams to deliver projects efficiently, highlighting your flexibility and problem-solving skills.
