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- Tasks: Join us as a Data Scientist to tackle NLP challenges in risk and fraud.
- Company: Work with 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: Make an impact by solving real-world problems using cutting-edge technology.
- Qualifications: PhD or Master's in a relevant field with expertise in Knowledge Graphs and Python.
- Other info: This is a contract role outside IR35 for an initial 9 months.
The predicted salary is between 48000 - 84000 £ per year.
I am currently immediately looking for a vastly talented Data Scientist with expert level Knowledge Graph experience to join my client on a fully remote contract. 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.
- Work with all things Knowledge Graph related.
- 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.
- Experienced in Knowledge Graphs.
- 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.
Data Scientist (Knowledge Graph) employer: Greybridge Search & Selection
Contact Detail:
Greybridge Search & Selection Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist (Knowledge Graph)
✨Tip Number 1
Familiarise yourself with the latest advancements in Knowledge Graphs and NLP. 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 Python and modern ML frameworks like PyTorch or TensorFlow. Consider creating a small project or case study that highlights your skills in these areas, as practical examples can make a strong impression.
✨Tip Number 3
Brush up on your communication skills, especially when it comes to explaining complex technical concepts to non-technical stakeholders. Practising how to convey your ideas clearly can set you apart from other candidates.
✨Tip Number 4
Network with professionals in the data science community, particularly those focused on Knowledge Graphs and NLP. Engaging in discussions or attending relevant webinars can provide insights and potentially lead to referrals for the position.
We think you need these skills to ace Data Scientist (Knowledge Graph)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Knowledge Graphs, NLP applications, and relevant programming skills like Python. Use specific examples from your past work to demonstrate your expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with the company's needs. Mention your experience with ML experimentation and MLOps, as well as your ability to communicate effectively with both technical and non-technical stakeholders.
Showcase Relevant Projects: If you have worked on projects involving Knowledge Graphs or NLP, be sure to include them in your application. Describe your role, the challenges you faced, and the outcomes of your work to illustrate your capabilities.
Highlight Collaboration Skills: Since the role involves collaborating with various stakeholders, emphasise your experience working in agile teams. Provide examples of how you have successfully collaborated with researchers, product teams, and business stakeholders to deliver value.
How to prepare for a job interview at Greybridge Search & Selection
✨Showcase Your Knowledge Graph Expertise
Be prepared to discuss your experience with Knowledge Graphs in detail. Highlight specific projects where you've implemented them, the challenges you faced, and how you overcame them. This will demonstrate your depth of knowledge and practical skills.
✨Demonstrate NLP Proficiency
Since the role involves NLP applications, be ready to talk about various NLP techniques you've used. Discuss any state-of-the-art models or traditional approaches you've experimented with, and explain how you determined the best solution for specific problems.
✨Communicate Effectively
You’ll need to interact 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 Technical Questions
Expect questions on programming languages, particularly Python, and modern ML frameworks like PyTorch or TensorFlow. Brush up on your coding skills and be ready to solve problems on the spot, as this will showcase your technical abilities.
