We are currently looking for a skilledData Scientistto join an international team for a project within the Digital Economy and AI domain.
This is a long-term far-site opportunity open to candidates located anywhere within the EU.
Location
Remote / Far-site (EU only)
Language
English required
Italian is a plus
Main Responsibilities
Design and develop advanced data processing and analytics solutions
Build and maintain data pipelines and ETL processes
Work with structured and unstructured data from multiple sources
Develop automation workflows and scalable data solutions
Support AI and machine learning related initiatives
Contribute to data modelling, analytics architecture, and performance optimisation
Collaborate with technical teams, business analysts, and stakeholders
Produce technical documentation and participate in technical meetings
Mandatory Technical Skills
Strong experience with Python 3
Experience with data processing libraries such as Pandas, NumPy, SciPy, TensorFlow or Keras
Excellent knowledge of Elasticsearch and Elastic Stack
Strong SQL and database knowledge
Experience with Oracle DB / PostgreSQL / MySQL
Experience with NoSQL databases
Experience with Graph Databases (e.G. Neo4j)
Experience with ETL/data pipelines and workflow automation
Experience with data modelling and analytical query optimisation
Experience with scripting, testing, debugging, and automation
Nice to Have
Knowledge of NLP / Machine Learning / Deep Learning
Experience with Kibana, Logstash, MongoDB, Apache Solr
Experience with BI tools such as Power BI or Tableau
Italian language
Profile
We are looking for candidates who are:
Strong problem solvers
Comfortable in international environments
Able to work independently in remote settings
Good communicators with both technical and non-technical stakeholders
Working Method
Working distribution: 100% remote with only a few on-site presence per year for workshops, trip reimbursed by the client.
Long-term assignment with extensions
Work within an international and mission-critical IT ecosystem
Candidates must be comfortable working in a very structured, security-focused environments.
If you are interested, please read carefully the privacy policy available here and submit your application by attaching your CV.
We remind you that, pursuant to Article 111-bis of the Privacy Code, it is not necessary to obtain authorization for the processing of personal data contained in your CV.