🕒 7 days ago
Lead product data science initiatives by building production machine-learning models, designing experiments, and translating analytics into product decisions and measurable business outcomes.
Senior Data Scientist – Graph Machine Learning
📅 Jul 28
Data ScienceGraph AIGraph Neural Networks (gnns)Machine Learning
📜 Description
- Design, develop, and deploy Graph Neural Networks (GNNs) and graph-based machine learning solutions.
- Transform large datasets into graph representations and extract insights using graph algorithms, analytics, and statistical techniques.
- Identify Graph AI use cases and contribute to data science strategy.
- Communicate technical concepts and model outcomes to technical and business audiences.
- Maintain high standards for data preparation, feature engineering, model evaluation, documentation, code quality, and reproducibility.
- Lead data scientists working on graph-related tasks and partner with engineering, product, and business teams to deliver scalable solutions.
🛠️ 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
- Let’s Connect – Intro Chat with Talent Acquisition
✨ Benefits
- Attractive remuneration package plus performance related reward
- Private health insurance
- Corporate pension fund
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
Full job description
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
Similar jobs
Search more Data Scientist jobs
🕒 yesterday
As a Senior Data Scientist, you'll lead data science initiatives, developing and deploying ML and AI solutions that enhance our two-sided marketplace connecting car buyers and sellers.
🕒 5 days ago
Leads end-to-end machine learning and experimentation for growth, pricing, and customer engagement, while modernizing analytical assets and deploying scalable, production-ready solutions across cloud platforms.
🕒 6 days ago
Leads high-impact AI projects in life sciences, defining data science approaches and software architecture while mentoring colleagues, shaping client engagements, and ensuring rigorous delivery.
Cientista de Dados Sênior com foco em risco de crédito
🕒 6 days ago
Vemprabip👥 501 - 1000 employees🏢 Management Consulting
🕒 6 days ago
Desenvolve modelos estatísticos e de machine learning de ponta a ponta, com foco inicial em risco de crédito, e cria soluções de analytics e BI em parceria com equipes de negócios e clientes.