Data Scientist (Knowledge Graph)

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

Job summary

A leading company is seeking a Senior Data Scientist with expert Knowledge Graph experience for a fully remote contract. The role involves working on NLP applications to tackle risk, fraud, and investigation concerns, requiring strong programming skills and relevant qualifications. Immediate hiring is available for highly talented individuals eager to contribute in a rapidly evolving environment.

Qualifications

• PhD in a relevant discipline or Master’s with equivalent experience.
• Experienced in Knowledge Graphs and traditional ML models.
• Strong programming skills in Python, experience with modern ML frameworks.

Responsibilities

• Experiment with various NLP approaches for risk and fraud applications.
• Determine appropriate data and modeling choices independently.
• Communicate effectively with technical and non-technical stakeholders.

Skills

Knowledge Graphs

NLP

Python

MLOps

Feature Engineering

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:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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