Senior Data Scientist

Company: XM
Location: Limassol
Type: full_time
Posted: Aug 19, 2026
Views: 0

The Role:

Are you passionate about transforming complex data into intelligent, business-driven solutions? Do you enjoy solving challenging problems, developing cutting-edge machine learning models, and collaborating with highly skilled professionals?


We are looking for a Senior Data Scientist to join our growing Data Science team. In this role, you will play a key part in designing and delivering innovative data products that create measurable business impact. You'll work with large-scale datasets, advanced machine learning techniques, and modern technologies while collaborating with multiple teams, and business stakeholders to bring data-driven solutions into production.

The main responsibilities of the position include:

  • Lead the design, development, and delivery of high-impact data science and machine learning solutions.

  • Translate complex business challenges into structured analytical approaches and scalable data products.

  • Build, evaluate, and optimize advanced machine learning models, ensuring high standards of quality, performance, and reliability.

  • Contribute to technical decisions and best practices across the data science lifecycle.

  • Review and validate data preparation, feature engineering, model selection, experimentation, and documentation.

  • Support the deployment and operationalization of machine learning models in batch and real-time environments.

  • Present analytical insights and recommendations to technical and non-technical stakeholders.

  • Ensure compliance with data quality, model governance, security, privacy, and responsible AI standards.

  • Identify opportunities to leverage data science for automation, forecasting, personalization, optimization, and risk management.

  • Collaborate closely with Data Engineers, Machine Learning Engineers, Software Engineers, Product Owners, and business stakeholders to develop production-ready solutions.

  • Contribute to improving team processes, technical standards, and project delivery methodologies.

  • Support the Lead Data Scientist in defining priorities, roadmaps, and strategic initiatives.

Main requirements:

  • University degree in Mathematics, Physics, Engineering, Computer Science, Data Science, or a related field.

  • At least 5 years of experience in a similar role.

  • Hands-on experience with Python libraries such as Pandas, NumPy, and Polars for data processing and analysis.

  • Strong Python programming skills with the ability to write clean, maintainable, and production-ready code.

  • Strong knowledge of modern machine learning techniques and advanced architectures, including Transformers and Graph Neural Networks (GNNs).

  • Experience with data visualization libraries such as Matplotlib, Seaborn, and Plotly.

  • Good knowledge of SQL and statistical analysis.

  • Excellent analytical thinking and problem-solving skills.

  • High attention to detail and commitment to delivering high-quality solutions.

  • Strong communication skills with the ability to explain technical concepts to non-technical audiences.

  • Excellent verbal and written communication skills in English.

  • A collaborative mindset, curiosity, and a passion for continuous learning.

What would be considered as an advantage:

  • Exposure to Natural Language Processing (NLP).

  • Experience working with NoSQL databases.

  • Knowledge of software engineering best practices.

  • Experience working in Unix/Linux environments.

  • Basic understanding of AWS services and cloud-based machine learning environments.

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!

    About the Company

    Name: XM

    No detailed information available about this company.

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