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Data Scientist (Knowledge Graph)

JR United Kingdom

Glasgow

Remote

GBP 70,000 - 90,000

Full time

4 days ago
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Job summary

A leading technology client seeks a Senior Data Scientist specializing in Knowledge Graphs for a fully remote contract. The role involves working on NLP applications for risk and fraud, requiring a PhD or Master’s level expertise. Ideal candidates will possess strong programming skills and experience in modern ML frameworks, collaborating with diverse teams to drive value.

Qualifications

  • PhD in relevant discipline or Master’s plus experience.
  • Strong programming skills, especially in Python.

Responsibilities

  • Experiment with NLP approaches for risk and fraud applications.
  • Work with Knowledge Graphs and communicate with stakeholders.
  • Follow best practices for ML experimentation.

Skills

Knowledge Graphs
NLP
Programming (Python)
Machine Learning Frameworks (e.g., PyTorch, TensorFlow)

Education

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

Tools

PyTorch
TensorFlow
LangChain

Job description

Social network you want to login/join with:

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Client:

Greybridge Search & Selection

Location:

glasgow, United Kingdom

Job Category:

Other

-

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

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