Data Scientist

Are you a Data scientist who has experience building GenAI applications?

How about a role at a financial institution in Utrecht?

General information

• Start date: Negotiable
• Duration: First contract is for 12 months, with rolling extension.
• No. of working hours: 36 hours per week
• Location: Office day on Monday’s Utrecht
• Contract type: Payroll
• VISA sponsorship: Yes if already in the NL
  
  

What is the project about?

• Knowledge Sharing: Responsible GenAI for everyone. We aim to make GenAI a trusted and everyday tool. We do that by sharing practical knowledge, organizing hands-on workshops, and hosting inspiration sessions.
• GenAI Use Cases: GenAI beyond Microsoft Copilot. As a team, we initiate, advise on, and develop GenAI use cases from start (idea) to finish (production) across the D&I area.
• Unstructured data: Unstructured data is the fuel for GenAI applications. As an area, we are uniquely positioned to support GenAI initiatives across FEC Tech with unstructured data. How we are going to do that is yet to decide, but we will play a role in this important topic.
  
  

What You Will Be Doing

• Evaluate, create, and advise on GenAI cases: Within the bank we have a formal and rigorous process to go from idea to production. As an increasing number of D&I colleagues are coming up with ideas to leverage GenAI, it is your job to provide feedback on their ideas. When a use case has potential, you will provide guidance on how to navigate through the formal process. When we co-create or initiate a GenAI use case, you will act as project lead for that use case.
• Build GenAI use cases: You will develop, test and validate GenAI use cases in a dedicated Databricks environment using Microsoft Azure OpenAI services. At the start, the development work is mostly focused on proving the potential value of the use cases and building demos. However, as we bring more use cases to the develop & test phase, you are also expected to contribute to bringing use cases to production.
• Build demos: Demos are a powerful way to gather feedback and advance use cases. Dependent on the use case you will build chatbot interfaces, interactive tables or other relevant interfaces. Front-end skills are not required as we typically use Python frameworks to build these demos (e.g., Gradio or Streamlit).
• Prepare and give presentations and hands-on workshops: We believe anyone can benefit from GenAI, regardless of technical knowledge. For the non-technical colleagues, we focus on providing knowledge regarding Microsoft Copilot, while for more technical colleagues we focus on hands-on workshops and (mini) hackathons.
  
  

To summarize, this role requires a balance between technical and non-technical skills. You will spend approximately half of your time engaging with stakeholders, evaluating potential use cases, and developing presentations and hands-on workshops. The other half of your time will be dedicated to writing code and developing use cases and demos.

Requirements

• Academic working and thinking level and typically a background with a strong quantitative component.
• At least five years of hands-on experience as a data scientist. You are comfortable with Python and version control.
• Experience building (small) GenAI applications (e.g., with Gradio or Streamlit)
• You understand what happens under the hood of popular GenAI frameworks like LangChain or OpenAI Agents SDK.
• You understand the drawbacks of LLMs, and how to mitigate them.
• Experience with project- and stakeholder management, you know how to start and finish a data science project. Furthermore, you are able to communicate on the technical- and managerial level.
• Strong communicator who can convey complex topics to a non-technical audience in an understandable and engaging manner.
• Enjoys creating and giving presentations
  
  

Does this role spark your interest? Then please provide me with your most recent resume and contact details, so that we can discuss this vacancy more detailed by phone!

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