Data Scientist (Knowledge Graph)

JR United Kingdom; York; Remote; GBP 70,000 - 100,000; Full time

Job summary

A leading company in data science is seeking a Senior Data Scientist with expertise in Knowledge Graphs for a fully remote role. The position involves applying NLP techniques to enhance risk, fraud, and investigation applications. Ideal candidates will have a relevant PhD or equivalent experience, strong programming skills, and a collaborative mindset working with cross-functional teams.

Qualifications

• PhD in a relevant discipline or Master’s plus relevant experience required.
• Experience with LLMs and traditional ML models expected.
• Strong programming skills in Python and modern ML frameworks needed.

Responsibilities

• Experiment with various NLP approaches for risk, fraud, and investigation products.
• Work on Knowledge Graph related tasks and data modeling choices.
• Communicate effectively with technical and non-technical stakeholders.

Skills

Knowledge Graphs

Python

NLP

Education

PhD in a relevant discipline or Master’s with comparable experience

Tools

PyTorch

TensorFlow

LangChain

Job description

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Role: Senior Data Scientist - Knowledge Graph Expert

Contract: Outside IR35 - Initial 9 months (Fully Remote)

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 an 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