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- Tasks: Solve real-world problems using cutting-edge machine learning and AI technologies.
- Company: Join a leading tech firm focused on innovation and social impact.
- Benefits: Flexible work arrangements, competitive pay, mental health support, and career development opportunities.
- Why this job: Be at the forefront of AI technology and make a difference in the community.
- Qualifications: PhD or Master's with 3+ years in NLP/ML; strong coding skills in Python.
- Other info: Enjoy a hybrid work model and a culture of continuous learning.
The predicted salary is between 36000 - 60000 £ per year.
# Our Privacy Statement & Cookie Policy is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. 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 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. 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.
Applied Scientist III employer: Refinitiv
Contact Detail:
Refinitiv 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 the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving NLP and machine learning. We want to see your hands-on experience, so make sure to highlight any cool AI solutions you've developed.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. We recommend practicing common technical questions and scenarios related to AI development. Remember, being able to communicate your thought process is just as important as getting the right answer!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team. Don’t forget to tailor your application to reflect your passion for AI and how you can contribute to our goals.
We think you need these skills to ace Applied Scientist III
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in NLP and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex problems using machine learning or NLP. We’re looking for those real-world applications that demonstrate your expertise and innovative thinking.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be on your way!
How to prepare for a job interview at Refinitiv
✨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 where you've applied these skills, especially in a commercial context. Highlight any experience with state-of-the-art methods and how they align with the role.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex problems using AI solutions. Think about the challenges you faced, the decisions you made regarding data and modelling choices, and how you iterated based on feedback. This will demonstrate your analytical thinking and adaptability.
✨Communicate Like a Pro
Effective communication is key, especially when working with stakeholders and engineering teams. Practice explaining your technical work in simple terms, so everyone can understand. This will show that you can bridge the gap between technical and non-technical audiences.
✨Get Familiar with Their Tools
Since the role involves using tools like Git, AWS, and Azure, make sure you're comfortable with them. If you have experience deploying models in these environments, be ready to discuss it. Showing that you can hit the ground running with their tech stack will give you an edge.
