Data Scientist

Groupe SEGULA Technologies SA; Torino; In loco; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

Segula Technologies in Torino is seeking a Data Scientist to join our team and support an important customer. You will design and implement AI-native data backbones and develop AI-powered solutions to enhance planning and operations across Supply Chain.

You will work across domains to build predictive, prescriptive, and simulation models, collaborate with stakeholders to translate insights into decisions, and contribute to scalable AI-enabled workflows throughout the organization.

Mansioni

• Design and implement AI-native data backbones integrating data sourced from multiple legacy systems
• Improve Supply Chain processes and accelerate the development & deployment of Agentic AI solutions to enhance team productivity and business outcomes
• Enable the upskilling of operational Supply Chain teams and strengthen awareness and adoption of AI capabilities across the organization
• Lead the design and development of predictive, prescriptive, and simulation models that support enterprise-level supply chain decisions
• Architect optimization frameworks that balance cost, service, capacity, and risk under real-world constraints
• Identify and quantify systemic risks, variability, and anomalies across supply chain operations
• Build scenario and simulation environments that enable leadership to evaluate strategic trade-offs
• Partner with stakeholders to define requirements and influence decision making
• Ensure analytical outputs are integrated into AI agents, planning systems, and operational workflows
• Drive best practices in data quality, feature engineering, model governance, and performance monitoring

Descrizione del lavoro

Segula Technologies is looking for an Data Scientistto join our team and support an important customer. The activity includes:

• Design and implement AI-native data backbones integrating data sourced from multiple legacysystems
• Improve Supply Chain processes and accelerate the development & deployment of Agentic AIsolutions to enhance team productivity and business outcomes
• Enable the upskilling of operational Supply Chain teams and strengthen awareness and adoption of AI capabilities across the organization
• Lead the design and development of predictive, prescriptive, and simulation models that support enterprise-level supply chain decisions
• Architect optimization frameworks that balance cost, service, capacity, and risk under real-world constraints
• Identify and quantify systemic risks, variability, and anomalies across supply chain operations
• Build scenario and simulation environments that enable leadership to evaluate strategic trade offs
• Partner with stakeholders to define requirements and influence decision making
• Ensure analytical outputs are integrated into AI agents, planning systems, and operational workflows
• Drive best practices in data quality, feature engineering, model governance, and performance monitoring