Medior Data Scientist
Role details
Job location
Tech stack
Job description
Help shape the future of responsible GenAI in banking by building AI solutions that transform customer journeys and internal banking processes., The Responsible GenAI squad drives the development and implementation of Generative AI solutions that enable the bank to apply AI effectively in practice. These solutions enhance the customer journey, streamline data processing, answer internal staff queries, and generate insights and reports to facilitate workflows. To accelerate innovation, the team also develops APIs that help other teams build GenAI solutions faster and more efficiently.
As Medior Data Scientist, you will contribute to building, monitoring, and optimizing the performance of GenAI solutions across diverse use cases within the bank. You'll be at the forefront of creating tools that tackle complex challenges, improve efficiency, and unlock new opportunities. Your work will involve exploring topics such as responsible GenAI, performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.
What makes this role special
- Work in a culture that values initiative, adaptability, collaboration and impact.
- Freedom for though leadership, learning and growth-with full leadership support.
- A healthy work-life balance because sustainable performance matters.
- We value curiosity, resilience and the ability to learn fast.
Practical examples
- Work directly with (internal) customers to learn how processes and systems work.
- Be accountable for building responsible and cost effective GenAI solutions for millions of customers.
- Enabling the performance and monitoring of the reusable GenAI building blocks can be used by 100+ tech teams.
- Design and build responsible and cost effective GenAI solutions for up to 9,5 million Rabobank customers.
- Collaborate with team members to solve critical or complex problems.
Top responsibilities
- Design and build responsible GenAI via performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.
- Contribute to building, monitoring, and optimizing the performance of GenAI solutions
- Join-forces with your peers, experts and stakeholders to provide business value to Rabobank customers., Als je op een interessante vacature reageert, nodigt de betreffende consultant je binnen enkele dagen uit voor een vrijblijvende kennismaking. Stap 2 van 5
Analyse
Samen met de consultant onderzoek je of jouw profiel goed aansluit bij de functie. Ook breng je in kaart of de organisatie en jouw ambities goed met elkaar matchen. Stap 3 van 5
Introductie
Als de match van beide kanten klopt, start je binnen 2 weken met de eerste sollicitatieronde bij je potentiële nieuwe werkgever. Stap 4 van 5
Vervolggesprek(ken)
Afhankelijk van de procedure nodigt de consultant je namens de organisatie uit voor de volgende gespreksronde(s) en eventueel een assessment. Stap 5 van 5
Aanbod
Bij een geslaagde match ontvang je een aantrekkelijk aanbod. Wij geven je graag advies over een realistische invulling van de arbeidsvoorwaarden.
Requirements
- You have at least 4 or more years of experience working as a Data Scientist or in a similar field
- You have strong programming skills (software engineering experience is a plus) and are proficient in Python
- You have a solid understanding of NLP and LLMs. Experience in building Generative AI applications is a strongly encouraged.
- You understand how to work with both discriminative and generative models and know when to apply each.
- You have experience with responsible GenAI topics such as bias detection, monitoring and performance evaluations
- Familiarity with Responsible AI principles, including fairness, transparency, explainability, and bias mitigation in generative AI systems.
- You have experience identifying underlying issues and opportunities across the ML development cycle for efficient development and testing.
- You have the ability to write clean and reusable code
- You are skilled in Git and CI/CD pipeline development.
- You have experience with ETL processes, data pipelines, and data lakes
- You have experience with cloud platforms (Azure).
- You have proficiency in working with APIs and are familiar with API gateways like Kong
- You have experience with containerization technologies (Docker, Kubernetes)
- You have experience with databases (SQL, NoSQL, PostgreSQL, and vector databases)
- You have experience deploying, tuning, and monitoring models with MLOps/DevOps, ensuring services support high throughput workloads.
Soft Skills and Leadership Qualities:
- You have a passion for building and bringing to production clean, well-structured, maintainable and testable solutions.
- Excellent communication skills - able to simplify complex ideas and build trust across teams.
- You have experience of making sure components can be re-used and standardized to support scale
- You enjoy collaboration in cross functional squad (incl. Engineering, Product, Business colleague) as well as across squads and build connections with others
- You have experience driving tech projects, coaching others, sharing knowledge and implementing best practices
- You are curious by heart and experienced in collaboration with customers.
Benefits & conditions
- A challenging key position within an ambitious and innovative company, where you shape (Gen)AI Innovation
- A dynamic, multicultural team of engineers, data scientists, and researchers working at the cutting edge of real-world AI.
- A permanent contract that combines stability with the freedom to make your own mark.
- Entrepreneurial freedom within the YER framework: room for initiative and craftmanship
- Work in a close-knit, multidisciplinary, and entrepreneurial team where your vision truly matters.
- International career growth: develop alongside the most pioneering projects in AI, cloud, and software.
- An excellent compensation package, including a pension plan and additional perks.
- International support such as Dutch language lessons, assistance with taxes, and housing guidance, helping you feel at home quickly.
