Predictive AI Data Scientist

Join to apply for the Predictive AI Data Scientist role at UniCredit . 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). Responsibilities 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. Adopt a squad service model following Spotify schema. Embed regulatory requirements fully and stay aware of regulation updates. Collaborate with multiple teams across the bank and across countries (Data Platforms, Digital factories, Risk, Finance, Compliance functions, Cross-country CRM) in ideation, development and deployment phase. Work in a smart, young team fully engaged in revolutionizing the bank. Qualifications 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. Benefits #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 best‑in‑class solutions to our customers and stakeholders. We serve over 15 million customers worldwide. Digitalisation and our commitment to ESG principles are key enablers for our service. We are an equal‑opportunity employer and nurture a workplace that welcomes diverse thinking and inclusive behaviors. We ensure sustainable growth and new business opportunities through a culture of innovation, creativity, and a positive work climate. Seniority level Mid‑Senior level Employment type Full‑time Job function Engineering and Information Technology Referrals increase your chances of interviewing at UniCredit by 2x We’re an equal opportunity employer. We stand together in nurturing a workplace that welcomes diverse thinking and inclusive behaviours. 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. #J-18808-Ljbffr