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 identifying new 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 standards in 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 platforms to 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 learning and AI , including hands-on experience in designing, training and 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 proficiency in 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 remuneration package 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’s Connect – 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

All applications will be treated with strict confidentiality!

By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking .