Senior Data Scientist (Machine Learning & AI)
Role details
Job location
Tech stack
Job description
International project focused on the evolution and operation of a large-scale portfolio of digital solutions supporting complex business processes, including procurement, programme management, and data analytics.
The scope covers the full digital solution lifecycle, from design and development to deployment, operations, and continuous improvement, leveraging cloud environments and Agile/DevSecOps practices.
This is a highly technical and innovative environment, focused on scalable, secure, and data-driven architectures, with strong emphasis on interoperability, service quality, and compliance with European standards in security and data protection
If you are an enthusiastic professional looking for a new career challenge, this is your place. We are looking to incorporate an Senior Data Scientist (Machine Learning & AI). Leap - we are waiting for you!
What You Will Do (Responsibilities):
- Analyse business and customer needs and translate them into data-driven solutions.
- Collaborate with cross-functional teams to ensure data is clean, accurate, and accessible.
- Identify patterns and trends in large datasets to uncover actionable insights.
- Design and develop data models to improve decision-making processes.
- Build, train, and deploy machine learning models in production environments.
- Monitor model performance and continuously optimise and improve results.
- Implement and deploy data tools for advanced data analysis.
- Work closely with developers to integrate machine learning solutions into products and services.
Requirements
- Minimum of 8 years of professional experience after completing higher education.
- At least 4 years of studies attested by a relevant diploma.
- Strong experience with programming languages such as Python or R.
- Hands-on expertise with data visualisation tools (e.g., Tableau, Power BI).
- Experience working with Big Data frameworks such as Spark, Hadoop, Databricks, or Splunk.
- Knowledge of AI/ML frameworks and tools (e.g., TensorFlow, Keras, PyTorch, Scikit-learn, CNTK, RAG techniques).
- Proven ability to deploy machine learning models in production environments.
- Strong analytical mindset and ability to work collaboratively with technical and business teams.
Benefits & conditions
- Prestigious projects within European institutions.
- International, innovative, and multicultural environments.
- Continuous support from a team of experts in EU projects.
- Rate per day: 571€ - 587€ (Negotiable depending on the candidate's experience.)
If you are ambitious, enthusiastic, and seeking a new professional challenge in international projects with real-world impact, this is the place for you!