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Senior Predictive AI Data Scientist – lead E2E development of ML solutions in banking, building feature stores, ensuring GDPR/AI Act compliance.
Join UniCredit Romania in Bucharest for full‑time role with flexible hours, hybrid work, and a collaborative digital & data team.
General Information
Job ID
103350
Company
Unicredit S.p.A. - Romania Branch
Competence Line
Digital
Country
Romania
Job Type
Professional
Functional area
Digital & Data
Working time model
Full-time
Contact
alexandra.popescu2@unicredit.eu; usrecruiting@unicredit.eu
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'll be doing
- 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
What you'll need to succeed
- The ideal candidate has:
- 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
What you'll get in return
- #MakeInnovationHappen: Chance to make an impact in terms of transformation
- #UnlockYourPotential: Join a young and stimulating environment
- #ComeAsYouAre: Working within a global team
- #UnlockYourPotential: Play a role of autonomy with high visibility and exposure
- #BalanceLifeAndCareer: Flexible working hours
- #BalanceLifeAndCareer: The possibility of working hybrid
- A professional but still friendly work environment
- #EnjoyTheBest: Access to our Benefits platform with a dedicated budget that you will be able to use, in order to choose the most suitable benefits for you
- Healthcare services from one of the agreed providers
- Holidays accorded based on your working experience (21 up to 25 days)
- Career in a leading international banking group , build on the diversity of its strong local roots
- Dynamic and multinational environment, full of growing opportunities
About UniCredit Group
UniCredit is a pan-European leading commercial bank providing best-in-class solutions and services across Italy, Germany, Austria, and Central and Eastern Europe. Our Vision is to be the Bank for Europe's Future. Our Purpose is to Empower Communities to Progress, delivering the best-in-class products and services for all stakeholders, unleashing the potential of our people and our clients across Europe. We serve over 20 million clients, supported by three Group product factories — Corporate, Individual and Payment Solutions — that ensure best-in-class expertise and scalable solutions across all markets. Our integrated model combines local proximity, deep client understanding and Group-wide capabilities, enabling seamless service and outstanding client experience. Digitalisation, operational excellence and a strong commitment to ESG principles underpin our journey, helping us deliver sustainable long-term value for clients, communities, employees and shareholders. Our shared Culture unites our people across all countries, empowering teamwork, driven execution and ambition through Ownership, Integrity and Caring.