We are looking for an experienced Senior Data Scientist to lead the creation of data products and 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.
What you’ll be doing
* Design and develop data products 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.
What you’ll need to succeed
* 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, Foundry, Dataiku, etc.).
* Expertise in MLOps frameworks and cloud-native AI services (MLFlow, Azure Pipelines, Jupyter Notebooks).
* A curiosity-driven mindset with a passion for analyzing and transforming banking processes through AI.
What you’ll get in return
#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 #J-18808-Ljbffr