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- Tasks: Work on cutting-edge NLP applications for risk and fraud detection.
- Company: Join a global tech leader driving innovation in AI and data science.
- Benefits: Enjoy fully remote work and competitive pay of £350-400 per day.
- Why this job: Be part of a dynamic team, tackling real-world challenges with impactful solutions.
- Qualifications: PhD or Master's with relevant experience in NLP and ML frameworks required.
- Other info: This is a 9-month contract role, ideal for those passionate about AI advancements.
The predicted salary is between 60000 - 84000 £ 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!
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 interview can demonstrate your passion and expertise in the field.
✨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 make a strong impression.
✨Tip Number 3
Brush up on your programming skills, particularly in Python, and be ready to discuss your experience with ML frameworks like PyTorch and TensorFlow. Practical knowledge will set you apart from other candidates.
✨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 is crucial for success in this 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. Use specific examples that demonstrate your skills in fine-tuning models and working with ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your PhD or Master's degree and how your background aligns with their needs, particularly in risk, fraud, and investigation products.
Showcase Your Technical Skills: Include a section in your application that details your programming skills, especially in Python, and your experience with modern ML frameworks. Highlight any specific projects where you applied these skills.
Prepare for Communication: Since the role involves communicating with both technical and non-technical stakeholders, be ready to discuss how you've effectively communicated complex ideas in previous roles. This could be included in your cover letter or during an interview.
How to prepare for a job interview at Greybridge Search & Selection
✨Showcase Your NLP Expertise
Be prepared to discuss your experience with NLP applications in detail. Highlight specific projects where you've experimented with state-of-the-art models and traditional approaches, and be ready to explain the outcomes and your decision-making process.
✨Demonstrate Technical Proficiency
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 working 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 past 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.
