Senior Data Scientist – Graph Machine Learning

About the Role

We are seeking a Senior Data Scientist specializing in Graph AI to design, develop, and deploy production-grade graph machine learning solutions. This role combines technical expertise with leadership responsibilities, as you will mentor other data scientists while solving complex real-world problems using Graph Neural Networks (GNNs) and advanced analytics.

Key Responsibilities

• Design, develop, and deploy Graph Neural Networks and graph-based machine learning solutions for production environments

• Transform large, complex datasets into graph representations and extract actionable insights using graph algorithms and statistical techniques

• Lead and supervise a team of data scientists working on graph-related projects

• Drive Graph AI adoption across the organisation by identifying new use cases and contributing to data science strategy

• Communicate complex technical concepts and model outcomes to both technical and business audiences

• Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality

• Partner with Data Engineers, Software Engineers, Product Managers, and business stakeholders to translate business challenges into scalable solutions

Requirements

• University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or related quantitative field

• Minimum 6 years of experience in data science, machine learning, and AI, with hands-on GNN design and optimisation for production applications

• Experience with relational and non-relational databases

• Solid experience with graph databases (Neo4j, Neptune) and proficiency in graph query languages (Cypher or Gremlin)

• Strong programming skills in Python with Pandas, NumPy, and similar data analysis libraries

• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly

• Strong analytical thinking, problem-solving ability, and attention to detail

• Fluent English and ability to work collaboratively in team environments