Senior Data Scientist

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!

By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.