Senior Data Scientist
XM
Senior Data Scientist
XM
Global forex and CFD broker
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.
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.
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
Attractive remuneration package plus performance related reward
Private health insurance
Corporate pension fund
Intellectually stimulating work environment
Continuous personal development and international training opportunities
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
XM is a forex and CFD broker that helps people trade currencies and other financial instruments online. It operates a trading platform where clients can buy and sell currencies and CFDs through account holders in multiple languages. The product works through a global team and offices; clients access markets via XM’s platform and tools, with support and services offered in over 30 languages. XM differentiates itself by its culture and people-focused approach: a large workforce (over 1,700 professionals across seven offices) and an emphasis on its values Big. Fair. Human., with programs for learning, wellbeing, diversity and inclusion, and flexible work arrangements. The company aims to be a leading global fintech provider by delivering reliable service, ongoing development for users and staff, and a strong focus on customer and employee wellbeing.
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