Data Scientist

As a Medior Data Scientist, you'll be instrumental in designing, developing, and deploying advanced Generative AI solutions that deliver incredible value to our customers. You'll be right at the heart of building AI-powered systems that tackle complex challenges, streamline operations, and unlock exciting new opportunities. We're looking for someone who loves diving deep into data, working with generative models, and crafting solutions that are both scalable and responsible. You'll join a dynamic squad dedicated to driving GenAI adoption across various banking domains, co-creating these solutions hand-in-hand with stakeholders., * Champion co-creation, followed by building, testing, deploying, and running high-quality, highly scalable GenAI solutions.

• Contribute to the ongoing automation of GenAI solutions across various banking domains.
• Collaborate closely with peers, experts, and stakeholders to deliver significant business value to Rabobank customers., Working conditions: This job role offers a balanced split between operational (run) and project (build) work, with a distribution of 75% operational and 25% project-related tasks. To minimize the impact on business operations, some changes may be scheduled outside of regular business hours.

Do you want this too? Do you aspire to be the best version of yourself? We are delighted to support your development and invest in an environment where continuous learning is encouraged. We provide you with the freedom to innovate and take initiative. By offering numerous growth opportunities, we help you exceed your own expectations and excel in your work, enabling you to grow both personally and professionally.

Moreover, you can expect the following benefits based on a 36 or 40-hour working week:

• An Employee Benefit Budget equivalent to 10% of your monthly income, which you can use according to your preferences. This budget allows you to purchase additional holiday days or make additional contributions to your pension.

• You've got at least 3 years of solid experience as a Data Scientist or in a comparable role.
• You're a coding whiz, especially with Python. Software engineering chops are a big bonus!
• You write clean, reusable code like it's second nature.
• You're a natural product thinker, great at turning business challenges into smart data science solutions - no unnecessary complexity, just pure impact!
• You have a deep understanding of NLP and LLMs, and bonus points if you've built Generative AI applications before!
• You're experienced in developing, assessing, deploying, and monitoring models, and you're familiar with LLMOps/MLOps/DevOps in live production environments.
• This role is all about Data Science, Generative AI, and Engineering. So, strong engineering skills are super valuable - think Git, CI/CD, ETL, cloud platforms like Azure, API development, containerization, and working with different databases (yes, including vector ones!).

And when it comes to your personal style and leadership:

• You're driven by curiosity and have a knack for working closely with clients.
• You're genuinely excited about diving into business needs and transforming them into technical solutions you'll actually build.
• You communicate brilliantly, making complex ideas easy to grasp and building trust across all teams.
• You're passionate about creating solutions that are clean, well-organized, easy to maintain, and thoroughly tested.
• You thrive in collaborative, cross-functional teams (think Engineering, Product, and Business folks!) and love connecting with others across different squads.
• You've got experience leading tech projects, mentoring team members, sharing your knowledge, and championing best practices.

• Enjoy the freedom for thought leadership, continuous learning, and professional growth, all backed by full leadership support.
• Experience a healthy work-life balance - because sustainable performance is key.
• We truly value curiosity, resilience, and a lightning-fast learning ability.

Real-World Examples of Your Impact

• Engage directly with internal customers to grasp the intricacies of their processes and systems.
• Take ownership of building responsible and cost-effective GenAI solutions impacting millions of customers.
• Co-create solutions leveraging reusable GenAI building blocks developed within our area.
• Team up with colleagues and end-users to solve critical and complex problems.
• Transform use-case specific solutions into reusable assets deployed across diverse domains within the bank.

The Nitty-Gritty Details

• Full-time commitment: 36 hours per week.
• Predominantly greenfield projects with minimal legacy systems.
• Join a global network of 43,822 Rabobank colleagues., * Flexible working hours and the possibility of location-independent work, depending on the team's planning.
• 100% reimbursement of commuting costs if you travel using public transportation. If you commute by car or motorcycle, you can opt for a commuting allowance.
• A pension scheme with a contribution rate of only 5% from your side.

Let's get to know each other.