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- Tasks: Work on cutting-edge NLP applications for risk and fraud detection.
- Company: Join a forward-thinking company focused on innovative data solutions.
- Benefits: Enjoy a fully remote role with flexible working hours and competitive pay.
- Why this job: Be part of a dynamic team that values creativity and collaboration in tech.
- Qualifications: PhD or Master's in a relevant field; strong Python and ML experience required.
- Other info: This is a contract role outside IR35, initially for 9 months.
The predicted salary is between 48000 - 72000 £ per year.
I am currently immediately looking for a vastly talented Applied Data Scientist to join my client on a fully remote contract. As an Applied Research 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 with traditional ML models and feature engineering.
- Experience with LLMs.
- 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.
For immediate consideration, please apply today.
Applied Data Scientist - NLP employer: Greybridge Search & Selection
Contact Detail:
Greybridge Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist - NLP
✨Tip Number 1
Familiarise yourself with the latest NLP trends and technologies, especially focusing on LLMs. Being able to discuss recent advancements or case studies during your interview can really set you apart.
✨Tip Number 2
Prepare to showcase your experience with Python and ML frameworks like PyTorch or TensorFlow. Consider creating a small project or a portfolio piece that highlights your skills in these areas, as practical examples can make a strong impression.
✨Tip Number 3
Brush up on your communication skills, particularly how to explain complex technical concepts to non-technical stakeholders. Practising this can help you demonstrate your ability to bridge the gap between technical and business teams.
✨Tip Number 4
Network with professionals in the field of data science and NLP. Engaging in relevant online communities or attending virtual meetups can provide insights and potentially lead to referrals, which can be invaluable in landing the job.
We think you need these skills to ace Applied Data Scientist - NLP
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in NLP, ML models, and programming skills, particularly in Python. Emphasise any projects or roles where you've worked with LLMs or collaborated with cross-functional teams.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for applied data science and NLP. Mention specific projects or experiences that align with the job description, and explain how you can contribute to the company's goals.
Showcase Your Technical Skills: In your application, include examples of your work with modern ML frameworks like PyTorch or TensorFlow. If possible, provide links to GitHub repositories or projects that demonstrate your coding abilities and understanding of ML experimentation.
Prepare for Communication: Since the role involves communicating with both technical and non-technical stakeholders, consider including examples of how you've effectively communicated complex ideas in previous roles. This could be through presentations, reports, or collaborative projects.
How to prepare for a job interview at Greybridge Search & Selection
✨Showcase Your NLP Knowledge
Be prepared to discuss your experience with both traditional and state-of-the-art NLP techniques. Highlight specific projects where you've successfully implemented these methods, especially in risk or fraud applications.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python are essential, be ready to talk about your experience with modern ML frameworks like PyTorch or TensorFlow. Consider sharing examples of how you've used these tools in past projects.
✨Communicate Effectively
As the role requires interaction with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will show your ability to bridge the gap between different teams.
✨Prepare for Collaboration Scenarios
Expect questions about your experience working in agile teams. Be ready to discuss how you've collaborated with researchers, product managers, and engineers to iterate on projects based on customer feedback.
