Predictive AI Data Scientist

1 settimana fa

Verona, Veneto, Italia UniCredit A tempo pieno

We are looking for an experienced Senior Data Scientist to lead the creation of predictive AI solutions, leveraging Machine Learning and Big Data capabilities.

You will be involved in the full E2E development lifecycle of our ML solutions, from data architecture design to final delivery and production maintenance. You will also contribute to the development of our internal central assets, such as the feature store and shared libraries, through our MLOps framework. The solutions you will work on will impact important bank processes (e.g. credit evaluation, KYC, CRM) and will be built fully aligned with regulatory requirements (GDPR, AI Act, ECB guidelines).

What you can expect from us

  • Design and develop predictive AI solutions by applying advanced ML and big data techniques.
  • Define data architectures and pipelines to support scalable AI solutions.
  • Train, evaluate, and optimize Machine Learning models for real-world applications.
  • Develop and maintain centralized AI assets, including feature stores and shared libraries.
  • Integrate and manage ML solutions within our MLOps framework for seamless deployment.
  • Squad service model adoption following Spotify schema
  • Adopt an operative framework with regulatory requirements fully embedded, fully awareness of regulation updates
  • Collaborate with multiple teams across the bank and countries ( Data Platforms, Digital factories, Risk, Finance, Compliance functions, Cross countries CRM) in ideation, development and deployment phase
  • Smart young team fully engaged in revolution the bank

What we expect from you

  • University degree in Computer Science, Engineering, Mathematics, or Statistics.
  • 4+ years of relevant experience in Data Science, AI, or ML Engineering.
  • Advanced proficiency in Python and experience with big data engineering practices.
  • Strong knowledge of ML and deep learning frameworks (TensorFlow, PyTorch, Scikit-learn).
  • Hands-on experience with third-party data platforms (Databricks, Palantir Foundry, Dataiku, etc.).
  • Expertise in MLOps frameworks (e.g. MLFlow).
  • A curiosity-driven mindset with a passion for analyzing and transforming banking processes through AI.
  • 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.

Our offer to you
#MakeInnovationHappen:
Work on cutting-edge AI solutions shaping the future of banking.

#UnlockYourPotential:
Join a dynamic and stimulating environment with opportunities for growth.

#ComeAsYouAre:
Be part of an inclusive, diverse, and global team.

#BalanceLifeAndCareer:
Enjoy flexible working hours and a hybrid work model.

#EnjoyTheBest:
Access our benefits platform with a dedicated budget to tailor perks to your needs.

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.

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