Senior Data Scientist

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!