Senior Data Scientist – Graph Machine Learning

The Role:

We are looking for a Senior Data Scientist specializing in Graph AI to join our growing Data Science team. In this role, you will design and deploy production-grade graph machine learning solutions, working with Graph Neural Networks (GNNs), graph databases, and large-scale datasets to solve complex real-world problems.

You will play a key role in shaping the company's Graph AI capabilities, collaborating with cross-functional teams and mentoring other data scientists while delivering innovative, business-impacting solutions.

The main responsibilities of the position include:

• Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions

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

• Drive the adoption of Graph AI across the organisation by identifyingnew use cases and contributing to the evolution of the company's data science strategy.

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

• Ensure high standardsin data preparation, feature engineering, model evaluation, documentation, and code quality.

• Leverage technologies such as Python, Graph Neural Networks, graph databases, modern ML frameworks, and cloud-based data platformsto build innovative data solutions

• Ensure adherence to best practices in data quality, model monitoring, version control, and reproducible analytics

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

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

Main requirements:

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

• At least 6 years of experience in data science, machine learningand AI, including hands-on experience in designing, trainingand optimising Graph Neural Networks (GNNs) for production applications.

• Experience working with relational and non-relational databases

• Solid experience working with graph databases (e.g., Neo4j, Neptune) and proficiencyin graph query languages (e.g., Cypher or Gremlin).

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

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

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

• Excellent communication skills and the ability to work collaboratively in a team environment

• Fluent in English

Benefit from:

• Attractive remunerationpackage plus performance related reward

• Private health insurance

• Corporate pension fund

• Intellectually stimulating work environment

• Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

• Let’sConnect - Intro Chat with Talent Acquisition

• Deep Dive - First Interview with Your Future Team

• Bring It to Life - Role-Specific Take-Home Task

• Final Connection - Final Interview