We are a digitally native company that helps organizations reinvent themselves and unleash their potential.
We are the place where innovation, design, and engineering meet at scale.
We are looking for a Data Scientist to join our Data&AI Studio.
We are seeking an experienced and innovative Data Scientist to join our team and play a pivotal role in shaping the organization's data-driven strategies.
The successful candidate will collaborate with cross-functional teams, including data engineers, analysts, and stakeholders, to build advanced models, drive AI-powered solutions, and leverage cutting-edge technologies, including large language models (LLMs) and machine learning frameworks.
This role is essential in unlocking actionable insights, optimizing operations, and supporting the development of scalable AI applications.
You will get the chance to: Design and implement robust machine learning models to address complex business challenges.
Conduct advanced statistical analyses and predictive modeling to uncover patterns and trends in large datasets.
Develop end-to-end data workflows, including feature engineering, data preparation, and model evaluation.
Collaborate with data engineers to ensure data pipelines and infrastructure support modeling needs effectively.
Leverage LLM technologies (e.g., LangChain) to develop AI-driven applications and solutions.
Translate data insights into actionable business recommendations, presenting findings to technical and non-technical stakeholders.
Optimize models for deployment in production, ensuring scalability, reliability, and performance.
Stay at the forefront of advancements in AI, machine learning, and LLM frameworks to apply state-of-the-art techniques.
What will help you succeed: Bachelor's degree in Computer Science, Computer Engineering, or a related field.
Proficiency in programming languages such as Python or R. Deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience with big data processing tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
Strong expertise in SQL and familiarity with NoSQL databases (e.g., PostgreSQL, MongoDB).
Hands-on experience preparing and optimizing data for machine learning models.
Proficiency with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
Familiarity with LLM frameworks like LangChain and their application in real-world scenarios.
Understanding of REST API integration and backend architectures.
Proven ability to work in Agile teams and deliver enterprise-grade solutions.
Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
Familiarity with data governance, security best practices, and compliance requirements.
Knowledge of advanced machine learning concepts, including model explainability and monitoring.
Excellent written and verbal communication skills in English.
The job is #LI-Hybrid in Turin, Bologna, Milan, La Spezia.
Are you ready?
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