Rabobank ir Nīderlandēs sakņojusies kooperatīva finanšu pakalpojumu grupa, kuras uzņēmējdarbības pamatu veidoja vietējie kreditēšanas kooperatīvi. Šodien uzņēmums nodrošina banku pakalpojumus, hipotekāros kredītus, uzkrājumu un ieguldījumu risinājumus, kā arī aktīvu pārvaldīšanu, līzingu, apdrošināšanu, nekustamā īpašuma un konsultāciju pakalpojumus. Aptuveni 61 100 darbinieku apkalpo ap 10 miljoniem klientu 47 valstīs, veidojot plašu starptautisku vidi finanšu pakalpojumu un ar tiem saistīto profesionālo funkciju jomā.
Junior Data Scientist, Advanced Analytics
Join Rabobank’s 18-month Early Career Program in Utrecht, building machine learning and generative AI solutions for banking products. Work with Python and Databricks across analytics development, from data engineering and model evaluation to production.
Nīderlande3516 € – 5021 € / mēnesis
HibrīdiPilna slodzeJaunākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieksApraksts
- Build and improve artificial intelligence, analytics and machine learning solutions.
- Contribute to the CLUE Client Lifecycle Understanding Engine team.
- Create client clustering and propensity models to inform product suggestions.
- Apply traditional machine learning, generative AI and agentic AI.
- Contribute throughout the product lifecycle, from design through production.
- Handle data and ML engineering, model estimation and evaluation, and prompt engineering.
- Connect statistical knowledge and data insights with technical infrastructure.
- Turn business requests into data science solutions.
- Work with experienced colleagues to put analytical ideas into practice.
- Share knowledge and support technical development in the Advanced Analytics community.
- Take part in the 18-month Advanced Analytics Early Career Program.
Prasības
- Have completed or be close to completing a master’s degree in Computer Science, Artificial Intelligence, Data Science, Mathematics or a comparable technical field.
- Demonstrate knowledge of traditional machine learning or statistics and AI model implementation through study, a thesis, internship, project or personal work.
- Have 0–2 years of work experience after graduation.
- Have experience with Python.
- Be interested in traditional machine learning and generative AI, including agentic AI.
- Be interested in the technical infrastructure behind AI solutions.
- Communicate technical ideas clearly and work effectively with colleagues.
- Have an excellent command of English.
- Currently live in the Netherlands.
- Nice to have: experience with Databricks.
- Nice to have: a technical project outside a formal study program.
- Nice to have: familiarity with cloud technology, Git or continuous integration and delivery.
- Complete a reliability assessment as part of the procedure.
- Be prepared to take an assessment during the application process.
- Submit a motivation letter.
Priekšrocības
- Thirteenth-month salary.
- 8% holiday allowance.
- 10% Employee Benefit Budget.
- €1,400 annual development budget.
- Hybrid work with a balance of home and office days.
- Pension plan with an adjustable maximum personal contribution.
- Workshops and training modules.
- Buddy support and personal development guidance.