Senior Data Scientist – Graph Machine Learning

Company: XM
Location: Athens
Type: full_time
Posted: Aug 19, 2026
Views: 0

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!

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About the Company

Name: XM

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