About the role
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! 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.