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Graduate Program Italy: Operations Intelligence – AI, Analytics & Automation

Nexi

Milano

In loco

EUR 30.000 - 40.000

Tempo pieno

Oggi
Candidati tra i primi

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Descrizione del lavoro

A leading payment services company is looking for a Graduate Program participant as an AI, Analytics & Automation Specialist. You will play a key role in enhancing workflows across departments and embracing AI-driven transformation. Candidates should have a master's degree in a relevant field, an analytical mindset, and basic skills in Microsoft Suite and Python. This program promises career growth through rotations and extensive development opportunities.

Servizi

Permanent contract from day one
Access to project management training
Digital PayTech University learning opportunities
Networking with talented colleagues and leaders

Competenze

  • Graduated within the past 12 months or will graduate by June 2026.
  • Strong analytical mindset and creative thinking.
  • Solid foundations in process analysis methodologies.
  • Basic proficiency in Microsoft Suite and Python.
  • Fluent in Italian and English.
  • Legal right to work in Italy.

Mansioni

  • Support operations teams in redesigning workflows.
  • Implement cutting-edge solutions across multiple areas.
  • Participate in a 12-month rotational Graduate Program.

Conoscenze

Analytical mindset
Creative process rethinking
Project management skills
Basic proficiency in Microsoft Suite
Basic knowledge of Python
Familiarity with AI concepts

Formazione

Master’s degree in Engineering, STEM disciplines, Project Management, or a related analytical field

Strumenti

Excel
Power BI
Descrizione del lavoro

Join our Graduate Program as an AI, Analytics & Automation Specialist and play a key role in process improvement, innovation, and AI-driven transformation. You will support operations teams in redesigning workflows and implementingcutting-edgesolutions across multiple areas, including merchant services, customer operations, digital banking, fraud, and disputes.

What Can You Expect?
  • Career Path: Start with a permanent contract from day one. Over 12 months, experience two rotations across departments and transition into a landing role where you can continue to grow.
  • Training & Development: Access project management training designed to strengthen your ability to lead and deliver results. Plus, explore a wide range of learning opportunities through our Digital PayTech University to keep building your skills and knowledge.
  • Impact & Networking: Contribute to real business solutions and expand your network by working alongside talented colleagues and senior leaders from across Europe.
Who We are Looking For

If this sounds like you, we encourage you to apply:

  • You have graduated within the past 12 months or will graduate by June 2026 with a master’s degree in Engineering, STEM disciplines, Project Management, or a related analytical field, and are available to work full-time.
  • You have a strong analytical mindset and a creative approach with the ability to rethink existing processes. You have solid foundations in process analysis methodologies and data science, complemented by strong project management skills.
  • You also have basic proficiency in Microsoft Suite (Excel, Power BI) and Python, along with familiarity with AI concepts and automation tools.
  • You are fluent in Italian and English.
  • You bring international experience, whether through study, work abroad, or collaboration in a global environment.
  • You are a career starter with no more than one year of professional experience.
  • You have the legal right to work in Italy (e.g., residency, visa).
Diversity & Belonging

We are committed to building a diverse culture where talents from all walks of life feel they truly belong. By applying to our Graduate Program, you are one step closer to joining us. Next starts with you, everyday.

How to Apply

Ready to start your journey? Click Apply, select Italy as your location, choose Data Science and Analytics as your preferred department, and upload your CV in English.

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