Data Scientist (Knowledge Graph)

JR United Kingdom; Kingston upon Hull; Remote; GBP 50,000 - 80,000; Full time

Job summary

A leading company seeks a Senior Data Scientist with expertise in Knowledge Graphs to work on NLP applications in a fully remote contract. The ideal candidate will possess a PhD or comparable Master's degree, strong programming skills, and experience with machine learning frameworks like PyTorch and TensorFlow. This role involves collaborating with teams to address complex modeling challenges and implementing best practices in ML experimentation.

Qualifications

• PhD or Master's degree with relevant experience.
• Experience in Knowledge Graphs and traditional ML models.
• Strong programming skills in Python and familiar with ML frameworks.

Responsibilities

• Experimenting with NLP approaches for risk and fraud products.
• Working with Knowledge Graphs and modeling techniques.
• Communicating effectively with technical and non-technical stakeholders.

Skills

Knowledge Graphs

Natural Language Processing (NLP)

Machine Learning

Python

Education

PhD in relevant discipline

Master's degree with comparable experience

Tools

PyTorch

TensorFlow

LangChain

Job description

Data Scientist (Knowledge Graph), Kingston upon Hull, East Yorkshire

Client:

Greybridge Search & Selection

Location:

Kingston upon Hull, East Yorkshire, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

Role: Senior Data Scientist - Knowledge Graph Expert

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

I am currently looking for a highly skilled Data Scientist with expert-level Knowledge Graph experience to join my client on a fully remote contract.

As a Data Scientist, you will work on NLP applications for risk, fraud, and investigation products. Your responsibilities will include:

1. Experimenting with state-of-the-art and traditional NLP approaches to find the best solutions.
2. Working extensively with Knowledge Graphs.
3. Independently selecting appropriate data and modeling techniques.
4. Communicating effectively with both technical and non-technical stakeholders.
5. Following best practices for ML experimentation and MLOps.

Required Qualifications:

• PhD in a relevant discipline or Master’s degree with comparable experience.
• Experience with Knowledge Graphs.
• Experience with traditional ML models and feature engineering.
• Experience with Large Language Models (LLMs).
• Strong programming skills (e.g., Python) and experience with ML frameworks (e.g., PyTorch, TensorFlow, LangChain).
• Ability to collaborate with researchers, product teams, engineering, and business stakeholders in an agile environment to demonstrate value and incorporate feedback.

Please apply today for immediate consideration.