Senior Data Scientist

Senior Data Scientist

About the role

XM is looking for an experienced Senior Data Scientist to join its Data Science and Business Intelligence department in Cyprus.

In this role, you will lead the development of machine-learning solutions and data products designed to solve complex business challenges and deliver measurable value.

You will work across the complete data-science lifecycle, from defining analytical approaches and preparing data to selecting models, evaluating experiments and supporting production deployment.

The position involves close collaboration with data engineers, machine-learning engineers, software engineers, product owners and business stakeholders.

What you’ll be doing

• Lead the design and delivery of advanced data-science and machine-learning solutions.

• Translate complex business requirements into structured analytical approaches.

• Develop scalable data products that support business decision-making and automation.

• Build, evaluate and optimise machine-learning models.

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

• Help establish appropriate evaluation metrics and quality standards.

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

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

• Write clean, maintainable and production-ready Python code.

• Work with large and complex datasets using modern data-processing tools.

• Present analytical findings and recommendations to technical and non-technical audiences.

• Maintain clear documentation for models, experiments and technical decisions.

• Ensure solutions meet data-quality, security, privacy and model-governance requirements.

• Promote responsible and reliable use of artificial intelligence.

• Identify opportunities to apply data science to forecasting, personalisation, optimisation, automation and risk management.

• Collaborate with engineering and product teams to bring analytical solutions into production.

• Help improve technical standards, team processes and project-delivery practices.

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

What we’re looking for

• A university degree in Mathematics, Physics, Engineering, Computer Science, Data Science or another quantitative discipline.

• At least five years of professional experience in data science, machine learning or a closely related role.

• Advanced Python programming skills.

• The ability to write clean, reliable and production-ready code.

• Hands-on experience using Pandas, NumPy and similar data-processing libraries.

• Experience using Polars or another high-performance data-processing framework.

• Strong knowledge of modern machine-learning methods.

• Familiarity with advanced architectures such as Transformers and Graph Neural Networks.

• Good SQL skills.

• Strong knowledge of statistics and analytical methods.

• Experience with model development, evaluation and optimisation.

• Experience presenting complex technical concepts to non-technical stakeholders.

• Excellent analytical thinking and structured problem-solving skills.

• Strong attention to detail and commitment to producing high-quality work.

• Excellent written and spoken English.

• A collaborative approach and willingness to continuously develop new skills.

Skills that would be an advantage

• Experience with Natural Language Processing.

• Experience working with relational and NoSQL databases.

• Familiarity with software-engineering standards and development practices.

• Experience working in Unix or Linux environments.

• Basic knowledge of AWS services.

• Experience working with cloud-based machine-learning environments.

• Familiarity with model governance, responsible AI and privacy requirements.

• Experience deploying models in batch or real-time production systems.

• Knowledge of forecasting, personalisation, optimisation or risk-modelling systems.

• Experience guiding technical decisions or supporting less-experienced team members.

Work arrangement

This is a full-time hybrid position that can be based in either Limassol or Nicosia, Cyprus.

Applicants must select their preferred location when submitting their application and confirm whether they are legally authorised to work permanently in that location.

Benefits

The benefits offered for this position include:

• An attractive remuneration package.

• A performance-related reward.

• Private health insurance.

• Access to a corporate pension fund.

• Continuous personal and professional development.

• International training opportunities.

• An intellectually challenging working environment.

The complete benefits package and eligibility conditions should be confirmed directly with XM during the recruitment process.

Recruitment process

The expected selection process includes:

1. An introductory conversation with the Talent Acquisition team.

2. A first interview with members of the relevant department.

3. A role-specific take-home assignment.

4. A final interview.

The exact stages may vary depending on the candidate and business requirements.

About XM

XM is an international financial-services and online-trading brand with teams working across technology, data, compliance, finance, operations and customer experience.

Its Data Science and Business Intelligence department develops machine-learning models, analytical systems and data products that support internal teams and business decision-making.

How to apply

Applicants should apply through XM’s official careers page and submit an up-to-date CV.

Your application should clearly demonstrate:

• Your total professional data-science experience.

• Advanced projects completed using Python.

• Experience with Pandas, NumPy and Polars.

• Machine-learning models or data products you have developed.

• Experience with Transformers, Graph Neural Networks or other advanced architectures.

• Your knowledge of SQL and statistical analysis.

• Experience deploying or supporting models in production.

• Your approach to data quality, security, privacy and responsible AI.

• Examples of working with multidisciplinary technical and business teams.

• Experience communicating technical findings to non-technical stakeholders.

Applicants may also provide LinkedIn, GitHub, portfolio or other professional links.

Applications are processed directly by XM. cyprustech.careers is presenting this opportunity for informational purposes and is not acting as the employer or recruitment agency for this vacancy.