Data Scientist

Reale Group; Torino; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading insurance company in Turin seeks a highly experienced Data Scientist to join its Artificial Intelligence team. This role involves designing advanced models, contributing to Generative and Agentic AI technologies, and collaborating with cross-functional teams. The ideal candidate holds a Master's or Ph.D. in a quantitative field, has over 3 years in data science, and is proficient in Python and cloud-based ML solutions. Fluency in English is required, and knowledge of Spanish is a plus.

Competenze

• 3+ years of experience in advanced data science roles with a strong track record.
• Practical experience in Generative AI and/or Agentic AI systems.
• Fluent in English; Spanish is a plus.

Mansioni

• Design, build, and deploy machine learning models addressing key business challenges.
• Collaborate with data engineers and software developers to integrate AI solutions.
• Act as an expert within cross-functional teams and mentor junior members.

Conoscenze

Advanced programming skills in Python

Machine Learning

Generative AI

Model lifecycle management

Cloud-based ML ecosystems

Formazione

Master’s or Ph.D. in Data Science, AI, or related field

Strumenti

scikit-learn

PyTorch

TensorFlow

MLflow

Azure ML

Descrizione del lavoro

Data Scientist – Artificial Intelligence

Location: Turin

Overview

We are looking for a highly experienced and proactive Data Scientist to join the Artificial Intelligence team at Reale Group. As a key contributor to the team, you will apply advanced AI methodologies—ranging from traditional machine learning to Generative and Agentic AI approaches—to develop and industrialize impactful solutions in a complex business environment. You will work alongside other senior professionals, engineers, and domain experts to turn data into actionable insights and autonomous systems, supporting innovation across the insurance value chain.

This is a hands‑on technical role with strategic visibility and cross‑functional collaboration, requiring deep expertise in AI modeling, practical application, and ethical deployment at scale.

Key Responsibilities

AI & Machine Learning Expertise

• Design, build, and deploy advanced machine learning models, from supervised learning to deep learning architectures, addressing key business challenges such as risk scoring, fraud detection, and automation.
• Experiment with and apply Generative AI technologies (e.g., LLMs, embeddings, prompt engineering) for use cases such as document processing, intelligent search, or synthetic content generation.
• Contribute to the research and prototyping of Agentic AI solutions, including autonomous agents for task orchestration, workflow automation, or adaptive reasoning in enterprise settings.
• Ensure robustness, scalability, and fairness in all model developments, aligning with MLOps practices and ethical AI frameworks.

End-to-End Solution Development

• Translate business problems into data science solutions and guide the full lifecycle: from exploration and experimentation to validation, deployment, and monitoring.
• Collaborate closely with data engineers, software developers, and enterprise architects to integrate AI solutions into production environments, primarily on Azure.
• Define and implement metrics for evaluating model performance, business impact, and alignment with strategic goals.

Cross-functional Collaboration & Thought Partnership

• Act as a trusted expert within cross-functional teams, including actuarial, claims, marketing, and IT.
• Support the mentoring of junior team members by sharing expertise, code reviews, and leading best practices.
• Partner with colleagues across international teams (e.g., Spain) to co-develop scalable AI assets and foster knowledge exchange.

Qualifications

Education

• Master’s or Ph.D. in Data Science, Artificial Intelligence, Computer Science, Engineering, Mathematics, or a related quantitative field.

Experience

• 3+ years of experience in advanced data science roles with a strong track record of delivering AI-powered solutions in production.
• Practical experience in Generative AI and/or Agentic AI systems (e.g., using OpenAI APIs, LangChain, orchestration frameworks).
• Solid exposure to enterprise environments, preferably in insurance, financial services, or other regulated industries.

Technical Skills

• Advanced programming skills in Python (mandatory), with knowledge of common ML and DL libraries (scikit-learn, PyTorch, TensorFlow, transformers).
• Strong experience in model lifecycle management, evaluation techniques, and versioning (e.g., MLflow, DVC).
• Proficiency in cloud-based ML ecosystems, especially Microsoft Azure (Azure ML, Data Factory, Cognitive Services).
• Understanding of vector databases, LLM fine-tuning, and embedding-based retrieval is a strong plus.

Soft Skills

• Fluent in English; Spanish knowledge is a plus.