The Role

We are looking for an experienced Data Scientist to join our Data Science department. In this role, you will work hands-on on advanced analytics and machine learning projects, leveraging large datasets to build impactful, production-ready solutions.

Ideal for someone who enjoys solving complex problems, building models end-to-end, and driving data-driven decision-making

The main responsibilities of the position include:

• Design, develop, and review machine learning models and advanced analytics solutions.
• Apply statistical analysis and data mining techniques to extract meaningful insights from large datasets.
• Ensure high standards in data preparation, feature engineering, model evaluation, documentation, and code quality.
• Collaborate with cross-functional teams including data engineers, 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, model monitoring, version control, and reproducible analytics.
• Contribute to the development of the department’s data science strategy and identify opportunities where data science can deliver business value.

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, machine learning, or advanced analytics.
• Strong programming skills in Python and experience with Pandas, NumPy, and similar data analysis libraries.
• Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly.
• Strong knowledge and exposure to Machine Learning
• Knowledge of Recommendation Systems will be considered a plus
• Solid understanding of statistics and data mining techniques.
• Experience working with relational and non-relational databases.
• Strong analytical thinking, problem-solving ability, and attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Benefit from:

• Attractive remuneration package
• 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
• Bring It to Life – Role-Specific Take-Home Task
• Deep Dive – First Interview with Your Future Team
• Final Connection – Final Interview

Type of employment: Full time

Location: Cyprus

Please visit our website www.xm.com/careers to submit your online application for this position.

All applications will be treated with strict confidentiality!