Data Scientist (Gen AI / Agentic AI)

UniCredit; Verona; In loco; EUR 50.000 - 75.000; Tempo pieno

Descrizione del lavoro

A leading European commercial bank in Italy is seeking a skilled Data Scientist to enhance its AI Services and Delivery team. This role involves leading AI efforts in Generative AI, collaborating with business stakeholders, and working on methodological improvements for AI systems. Ideal candidates will have a Master's in a quantitative field, 5+ years of experience in AI, and strong analytical skills. Join an innovative team dedicated to impactful transformations while enjoying flexible working hours and diverse workplace culture.

Servizi

Flexible working hours

Access to benefits platform

Opportunity for innovation

Competenze

• 5+ years of industry or research experience in data science or AI.
• At least 2 years of experience with Generative AI technologies.
• Hands-on experience with Agentic System design and development.

Mansioni

• Design AI solutions coordinating with Business stakeholders.
• Assess feasibility of requirements and map to AI methodologies.
• Collaborate to validate AI methodology results and define evaluation frameworks.

Conoscenze

Generative AI expertise

Analytical and problem-solving skills

Communication with non-technical stakeholders

Collaboration in agile environment

Formazione

Master’s degree in quantitative field

Strumenti

LangChain

LlamaIndex

Haystack

PyTorch

Descrizione del lavoro

Overview

We are looking for a Data Scientist to join our AI Services and Delivery team. Within the team you will be part of the Data Science chapter exchanging experience, know-how and ideas with other data scientists of different seniorities and backgrounds. As a Data Scientist you will be leading methodological effort both for improving Unicredit AI Platform foundations (e.g. foundational Agents for specific task) and for specific projects deliveries across different Unicredit domains and geographies. This role focuses on Generative AI and Agentic AI applications in an enterprise ecosystem, data scientist will need to bridge business needs, performance expectations and technical feasibility.

What you can expect from us

• Design AI solutions from a methodological perspective, collaborating with Business stakeholders for problem scoping and definition and with AI Engineers for solution development and deployment.
• Assess the feasibility of requirements, leveraging quick prototyping, and map them to AI methodologies.
• Collaborate with business stakeholders to validate AI methodology results, define evaluation frameworks and enterprise level test set to guarantee at scale performance evaluations.
• Collect and measure feedback during the adoption phase of AI solutions, ensuring incremental improvements.
• Stay up to date with the latest advancements in AI methodologies (e.g. latest Agentic AI Developments).
• For Senior Roles, act as tech lead on horizontal (capabilities and foundations) and vertical (business specific project) delivery. Acting as focal point for methodology discussion, planning and execution holding accountability for project success and stakeholder engagement on AI system performances.

What we expect from you

The ideal candidate has :

• Master’s degree in quantitative field.
• 5+ years of industry or research experience in data science or AI, with a focus on methodological efforts and enterprise AI system adoption.
• At least 2 years of experience working with Generative AI (GenAI) technologies.
• Hands on experience with Agentic System design and development, including agentic system testing.
• In-depth knowledge of genAI and deep-learning libraries (e.g. LangChain, LlamaIndex, Haystack, PyTorch).
• Basic understanding and experience with common market agentic frameworks (ADK, Crew AI).
• Understanding and hands-on experience with A2A and MCP.
• Strong analytical and problem-solving skills.
• Excellent communication skills, especially with non-technical stakeholders.
• Excellent collaboration skills, with the ability to work effectively in an agile environment.
• For more senior roles, experience in leading the delivery of technical teams bridging gaps between methodological and engineering effort guaranteeing smooth transition between prototyping and production grade system.

Nice to have

• Familiarity with cloud-native AI solutions for model development and AI services (Azure, Google Cloud).
• Proficiency in MLOps frameworks and best practices.
• Knowledge in object-oriented software development, particularly in Python.
• Experience with production grade Agentic systems, including performance monitoring and evaluation frameworks.
• Experience with open-source LM finetuning for Agentic AI applications.
• Experience in consultancy, customer engineering and fast prototyping.

Our offer to you

• #MakeInnovationHappen: Chance to make an impact in terms of transformation.
• #UnlockYourPotential: Join a young and stimulating environment.
• Come as you are: Working within a global team.
• #UnlockYourPotential: Play a role of autonomy with high visibility and exposure.
• #BalanceLifeAndCareer: Flexible working hours.
• #EnjoyTheBest: Access to our Benefits platform with a dedicated budget that you will be able to use to choose the most suitable benefits for you.

About UniCredit Group

UniCredit is a pan-European Commercial Bank with a unique service offering in Italy, Germany, Central and Eastern Europe. Our purpose is to empower communities to progress, delivering the best-in-class for all stakeholders, unlocking a better tomorrow for our clients and our people across Europe. We serve over 15 million customers worldwide. They are at the heart of what we do in all our markets. Digitalisation and our commitment to ESG principles are key enablers for our service. They help us deliver excellence to our stakeholders and creating a sustainable future for our clients, our communities and our people.

We are an equal opportunity employer. We stand together in nurturing a workplace that welcomes diverse thinking and inclusive behaviors. Making all voices heard and leveraging diversity of thought regardless of gender identity, age, race, ethnicity, sexual orientation, ability, cultural background, we ensure sustainable growth and new business opportunities, a strong drive for innovation and creativity, as well as a general improvement of the work climate with positive impact on productivity, well-being and engagement of our people.