EXPERT DATA & AI SCIENTIST

As an Expert Data & AI Scientist, you will be part of Eni's Digital Information Technologies function and a key figure within the Data & AI Center of Excellence. You will operate at the intersection of business strategy and next-generation artificial intelligence technologies (Foundation Models, GenAI, agent systems), leading the design, development, and deployment of high-value AI solutions.

Key activities:

• Translate business objectives into AI use cases prioritized for impact, feasibility, risk, and ROI
• Design solutions by choosing the most suitable methodology, approaches and technologies
• Define success metrics and end-to-end evaluation frameworks by defining metrics and objectives
• Build agentic systems and Generative AI applications by integrating modern methodologies and emerging approaches, implementing guardrails and safety mechanisms throughout the solution lifecycle, and collaborate with engineering teams for production release.
• Define lifecycle management strategies for models and prompts: retraining, A/B testing, rollback, version management of third-party foundation models
• Ensure compliance with the EU AI Act by supporting compliance assessments and collaborating with Compliance, Legal and DPO and producing appropriate technical documentation
• Present results to diverse stakeholders (C-level, business, technical) with effective storytelling, data visualization, and the ability to manage expectations about what AI can and cannot do
• Support the development of junior and mid-level data scientists, define best practices and technical standards for the CoE. Actively participate in the company's Data & AI community through knowledge sharing, contributions to Mediums and technical blogs, conference participation, and contributing to the company's positioning on AI topics.

 

Required characteristics:

 

 

• Master's degree in STEM disciplines: Mathematics, Physics, Statistics, Computer Science, Engineering, Data Science; a PhD in the field will be considered positively
• At least 3 years of experience in Data Scientist / ML Engineer / AI Engineer roles, with at least 1 year of experience on Generative AI / LLM solutions in production
• Track record of AI projects taken end-to-end from discovery to deployment, with business impact measurement
• Proficiency in Python and the scientific ecosystem (NumPy, Pandas, scikit-learn)
• Solid theoretical and practical knowledge of supervised and unsupervised algorithms, ensemble methods, time series, and deep learning
• Expertise in statistics and knowledge of experimental methods: inference, A/B testing, causal inference, design of experiments, methodologies required to evaluate GenAI systems and NLP processes through the construction of metrics and benchmarks
• Advanced SQL knowledge, experience working with structured and unstructured data, vector stores, data engineering foundations
• Practical experience in consuming commercial and open-weight models and in realizing practical applications using Context Engineering and RAG techniques
• Knowledge of MLOps methodology and use of supporting tools
• Experience developing AI models and applications on at least one major cloud (AWS / Azure / GCP) using managed AI services (Bedrock, Azure ML/AI Foundry, Vertex AI).

Location:
San Donato Milanese

We promote flexible work arrangements, offering smart working options and flexible hours to support a better work-life balance.

We offer:

 

 

 

• Permanent employment contract
• Our reference national collective labor agreement is the Energy and Oil CCNL
• We offer a gross annual salary between €50,000 and €70,000.
• The final offer will be formulated in accordance with the professional experience, technical and transversal skills possessed by the resource, functional for the role and appreciable by the company.
• In the presence of particularly relevant professional experience and technical and transversal skills, the Company may evaluate an offer with an improved classification/RAL level.
• A reward system and comprehensive program of benefits and welfare initiatives covering healthcare, social security, income support, and work-life balance.
  Learn more: welfare link
• A work environment where each resource can feel recognized and appreciated in their uniqueness

The most promising candidates will be contacted for the next phase.

For information on the selection process and helpful tips, click here .

Who We Are

Eni is a company integrated along the entire value chain and committed to providing increasingly safe, diversified, and emission-reducing energy through concrete actions.

Our business model aims to create long-term value for all stakeholders.

Our people are the driving force behind this strategy, whose talent, expertise, and commitment drive constant growth and transform our vision into concrete progress.

#LI-ECU #LI-Hybrid