AI & Data Science Consultant - Roma, Lazio, Italy
Pubblicato il 24-09-2026 - Dxc Technology in Roma
Job Description
DXC Technology is looking for a Data Scientist Consultant to support AI and Generative AI projects, contributing to practical solutions and improving business processes through ML models, NLP and intelligent automation, within the Data & AI team based in Rome.
Key Responsibilities
- Contribute to the design and implementation of AI solutions, including machine learning models, NLP, and computer vision applications.
- Collaborate with senior team members to understand client requirements and translate them into practical AI solutions.
- Support the direct relationship with clients/stakeholders for requirements gathering and solution validation.
- Support pre-sales activities, including preparing technical materials and contributing to client presentations.
- Stay up to date on AI trends and emerging technologies, applying knowledge to support solution development.
- Contribute to maintaining best practices and methodologies within the AI & Data Science team.
- Take part in AI solution projects,
gaining hands-on experience in real client environments and progressively growing in autonomy.
Requirements
- Proven experience in Gen AI projects.
- Ability to translate business requirements into practical AI solutions, including design and implementation.
- Deep expertise in core Generative AI technologies, including Retrieval-Augmented Generation (RAG), Prompt Engineering, Observability, and AI Guardrails.
- Extensive experience with enterprise-grade GenAI development frameworks and platforms, including LangChain, LangGraph, LiteLLM, and Langfuse.
- Proven experience in addressing AI governance, GDPR, and EU AI Act compliance requirements throughout the AI solution lifecycle.
- Good knowledge of machine learning frameworks and libraries (Python, TensorFlow, PyTorch, Scikit-learn, etc.)
- Strong proficiency in AI-powered software development and code generation tools.
- Extensive experience with enterprise software delivery practices and platforms, includ