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- Tasks: Work on cutting-edge NLP applications for risk and fraud detection.
- Company: Join a global tech leader pushing the boundaries of AI technology.
- Benefits: Enjoy fully remote work with competitive pay of £350-400 per day.
- Why this job: Be part of innovative projects that make a real impact in tech and society.
- Qualifications: PhD or Master's in a relevant field with strong NLP and programming skills required.
- Other info: This is a 9-month contract role, outside IR35, perfect for ambitious data scientists.
The predicted salary is between 42000 - 70000 £ per year.
We are partnering with a global tech business who are looking for a talented Data Scientist with strong experience in GenAI / NLP to join them on a contract basis.
As a Data Scientist, you will be working on NLP applications for risk, fraud, and investigation products. Your job will be to:
- Experiment with different state-of-the-art as well as traditional NLP approaches to find the best solution for the given problem.
- Independently determine appropriate data and modelling choices.
- Effectively communicate with technical and non-technical stakeholders.
- Follow best practices for ML experimentation and MLOps.
Required Qualifications:
- PhD in a relevant discipline or Master’s plus a comparable level of experience.
- Experience in Knowledge Graphs or Large Document Search.
- Experience with traditional ML models and feature engineering.
- Strong experience with fine tuning, modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial.
- Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain).
- Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback.
Please apply below for immediate consideration!
Data Scientist employer: Greybridge Search & Selection
Contact Detail:
Greybridge Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest advancements in NLP and GenAI. Being able to discuss recent trends or breakthroughs during your conversations can really set you apart from other candidates.
✨Tip Number 2
Prepare to showcase your experience with Knowledge Graphs and Large Document Search. Think of specific projects where you've applied these technologies, as real-world examples can demonstrate your expertise effectively.
✨Tip Number 3
Brush up on your programming skills, especially in Python, and be ready to discuss your experience with ML frameworks like PyTorch and TensorFlow. You might even want to prepare a small coding challenge to demonstrate your proficiency.
✨Tip Number 4
Practice explaining complex technical concepts in simple terms. Since you'll be communicating with both technical and non-technical stakeholders, being able to bridge that gap will be crucial in your role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in NLP, GenAI, and any relevant projects you've worked on. Emphasise your programming skills, particularly in Python, and your familiarity with ML frameworks like PyTorch and TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the role. Mention specific experiences related to risk, fraud, and investigation products, and how you can contribute to the team.
Showcase Relevant Projects: If you have worked on projects involving Knowledge Graphs, Large Document Search, or fine-tuning LLMs, be sure to include these in your application. Provide links to your work or a portfolio if possible.
Prepare for Technical Questions: Be ready to discuss your technical skills and experiences in detail. Prepare to explain your approach to ML experimentation and MLOps, as well as how you communicate complex ideas to non-technical stakeholders.
How to prepare for a job interview at Greybridge Search & Selection
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with NLP applications, particularly in risk and fraud contexts. Highlight specific projects where you've successfully implemented state-of-the-art techniques or traditional approaches, and be ready to explain your decision-making process.
✨Demonstrate Your Technical Skills
Make sure to brush up on your programming skills, especially in Python. Be ready to discuss your experience with ML frameworks like PyTorch and TensorFlow, and consider preparing a small coding exercise to showcase your abilities during the interview.
✨Communicate Effectively
Since you'll be interacting with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical information in previous roles.
✨Prepare for Collaboration Questions
Expect questions about your experience working in agile teams. Think of examples that demonstrate your ability to collaborate with researchers, product managers, and engineers, and how you’ve iterated on feedback to deliver value.
