Data Scientist (Knowledge Graph)

JR United Kingdom; United Kingdom; Remote; GBP 60,000 - 90,000; Full time

Job summary

A leading company is seeking a Senior Data Scientist with expertise in Knowledge Graphs for a fully remote contract. The role involves working on NLP applications for risk and fraud, requiring strong programming skills and collaboration with various stakeholders. Ideal candidates will have a PhD or a Master's degree with relevant experience.

Qualifications

• PhD or Master's with experience in Knowledge Graphs.
• Strong programming skills and experience with ML frameworks.

Responsibilities

• Experiment with NLP approaches for risk and fraud applications.
• Work on Knowledge Graph related tasks.
• Communicate effectively with stakeholders.

Skills

NLP

Knowledge Graph

Python

Education

PhD in a relevant discipline

Master’s plus comparable experience

Tools

PyTorch

TensorFlow

LangChain

Job description

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Client:

Greybridge Search & Selection

Location:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

12.05.2025

Expiry Date:

26.06.2025

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Job Description:

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