At Ayesa Digital we grow with you!

Every professional in our company is vital to us. Thanks to their talent, we continue to expand; today, we are a global team of over 11,000 people working toward a common goal.

Ayesa Digital is currently participating in high-impact European Union projects designed to address major European challenges and drive innovation and digital transformation. These are strategic technological projects based on collaborative initiatives that stand out for their international focus and strong commitment to socially-oriented results.

We are currently looking for a Data Scientist / AI & Advanced Analytics professional to join an international project supporting the design and implementation of data-driven, machine learning, and artificial intelligence solutions within a European Union environment.

The role will focus on advanced analytics, machine learning, artificial intelligence, data science, and the development of scalable and reliable analytical solutions. You will combine technical expertise in data science and AI with an understanding of business needs, data engineering, model deployment, governance, and regulatory requirements.

You will work in an international and multicultural environment, collaborating with data engineers, developers, business stakeholders, technical specialists, and other project stakeholders to design analytical solutions, develop and validate models, ensure data and model quality, and support the continuous evolution and operationalisation of AI and advanced analytics capabilities.

If you are an experienced Data Scientist, Machine Learning Engineer, AI Specialist, Advanced Analytics Consultant, or similar professional with a strong background in Python, machine learning, data engineering, MLOps, AI governance, and advanced analytics, this is your place.

What You Will Do (Responsibilities)

- Design and implement data-driven solutions using advanced analytics, machine learning, and artificial intelligence techniques.
- Develop predictive and analytical models using technologies such as Python, R, SAS, Spark, Scikit-learn, TensorFlow, PyTorch, or Hugging Face.
- Apply machine learning and natural language processing techniques to address business and analytical challenges.
- Design and implement data preparation, ETL, and data engineering processes to create high-quality datasets for analytical and machine learning workloads.
- Develop and manage analytical workflows and MLOps processes, including CI/CD pipelines, model registries, testing, reproducibility, and model lifecycle management.
- Design and implement scalable data storage and processing solutions using SQL, NoSQL, MongoDB, Hadoop, data lakes,



lakehouses, or distributed data platforms.
- Develop and operationalise machine learning models through APIs, containerisation, model-serving frameworks, and scalable deployment architectures.
- Design and conduct experiments, including A/B testing, cross-validation, significance testing, and other validation techniques, to assess model performance and reliability.
- Apply advanced analytics techniques to use cases such as forecasting, recommendation systems, anomaly detection, sentiment analysis, and other data-driven applications.
- Analyse model outputs and analytical findings to identify relevant insights, communicate conclusions, and support strategic business decision-making.
- Contribute to the definition and implementation of AI governance, compliance, risk management, transparency, explainability, fairness, and accountability practices.
- Support the monitoring and mitigation of AI and machine learning risks, including bias, model drift, data quality issues, and other model-related risks.
- Ensure that data science and AI solutions are designed in accordance with applicable data protection, AI, legal, and ethical requirements.
- Collaborate with technical and business stakeholders to translate complex analytical results into clear and actionable recommendations.

What We Are Looking For (Requirements)

- Advanced professional experience as a Data Scientist, Machine Learning Engineer, AI Specialist, Advanced Analytics Consultant, or similar role.
- Strong professional experience with advanced analytics and data science using Python, R, SAS, Spark, or comparable technologies.
- Strong experience with machine learning and artificial intelligence frameworks such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, or comparable technologies.
- Solid experience with programming and data manipulation using Python, R, SQL, or comparable languages.
- Professional experience with data engineering and ETL processes using technologies such as Talend, Informatica, dbt, Azure Data Factory, or equivalent tools.
- Experience with data storage and query technologies, including SQL, NoSQL, MongoDB, Hadoop, or comparable platforms.
- Experience designing scalable data storage and processing solutions, including data lakes, lakehouses,



or distributed data platforms.
- Experience with MLOps practices, including CI/CD pipelines, model registries, automated testing, reproducibility, and model lifecycle management.
- Experience deploying and operationalising machine learning models using containerisation, APIs, serving frameworks, or comparable technologies.
- Knowledge of advanced analytics applications such as forecasting, recommendation systems, anomaly detection, sentiment analysis, or other predictive use cases.
- Knowledge of AI governance principles, including transparency, explainability, fairness, accountability, and responsible AI.
- Knowledge of AI compliance, risk management, bias monitoring, model drift detection, model cards, or comparable AI risk-management practices.
- Knowledge of data protection and AI regulatory frameworks, particularly GDPR and the EU AI Act, and their application to data-driven and AI solutions.

What We Offer

- Opportunity to work on a prestigious European Union project.
- An international, innovative, and multicultural working environment.
- The opportunity to contribute to the development of advanced analytics, artificial intelligence, and machine learning solutions in a European institutional context.
- Exposure to complex data architectures, AI technologies, machine learning models, MLOps, and large-scale data processing.
- The opportunity to work on AI governance, responsible AI, data protection, and emerging European regulatory requirements.
- Continuous support from a team of experts working on EU projects.
- Opportunity to develop your professional career in an international technological environment.
- Remote / far-site working model, in accordance with the conditions of the project and contract.

If you are an experienced Data Scientist, Machine Learning Engineer, AI Specialist, or Advanced Analytics professional with a strong background in Python, machine learning, data engineering, MLOps, AI governance, and advanced analytics, and you are looking for a new challenge within an international European project, we would love to hear from you!

In accordance with Organic Law 3/2007 of March 22, the company is committed to promoting the defense and effective application of the principle of equality between men and women, preventing any type of labor discrimination based on sex, and guaranteeing equal entry opportunities. Furthermore, we promote diversity and reject any discrimination based on race, gender, functional diversity, religion, sexual orientation, gender identity, or any other personal or social condition, striving to build an inclusive and enriching environment.

📌 Data Scientist (Savona)
🏢 Ayesa Digital
📍 Savona