Title: Data Analyst - Data Science team
Company: XM
Location: Athens / Limassol / Nicosia / hybrid
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:
- Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies
- Develop reports, dashboards, and visualizations to communicate insights and monitor key business metrics.
- Support the evaluation and assessment of machine learning models through data analysis and performance reporting.
- Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value
- Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality
- Collaborate with cross-functional teams including data engineers, data scientists, software engineers, product owners, and business stakeholders
- Present insights, analysis results, and recommendations to both technical and non-technical audiences
- Ensure adherence to best practices in data quality, version control, and reproducible analytics
Main requirements:
- University degree in Mathematics, Physics, Computer Science, Engineering, Data Science, or a related quantitative field
- At least 3 years of experience in data science including hands on experience with Data Analysis
- Strong programming skills in Python, with hands-on experience using Pandas, NumPy, and other data analysis libraries.
- Experience with visualization libraries in Python, such as Matplotlib, Seaborn, or Plotly
- Hands-on experience with data visualisation and BI tools, such as Power BI.
- Solid understanding of statistics and data mining techniques
- Experience working with relational and non-relational databases
- Basic knowledge of Machine Learning concepts and techniques, with an interest in applying them to real-world data problems.
- Strong analytical and problem-solving skills, with excellent attention to detail.
- Excellent communication skills and the ability to work collaboratively in a team environment
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!
