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