(Senior) Data Scientist

Description

Hamburg | Relocation Package

We are currently staffing a permanent (Senior) Data Scientist role focused on Generative AI @ a leading energy solutions company in Hamburg.

In this role, you will join the Analytics & AI team. They drive technical innovation and play a pivotal role in shaping the overarching data strategy. As part of this team, you will contribute to one of their key initiatives: Generative AI Chatbots. You will analyze, build and enhance different chatbot solutions closely aligned with other cross-functional product and engineering teams.

You should have a solid track record as a data scientist with AI chatbots/ Gen AI / LLMs and decent Python coding/frameworks experience (e.g., LangChain, TensorFlow, PyTorch). Furthermore, as the data architecture is Azure-based, you should also have professional experience with Azure Data services and tools.

| REMOTE SETUP

This hybrid remote role is based in Hamburg (2-3 days/ week). Potential relocation or travel costs will be covered.

| ABOUT THE ROLE

In this role, you will ...

Collaborate with cross-functional teams to understand business requirements, design solutions, and implement improvements

Develop and maintain enterprise data generative AI Chatbot solutions

Conduct data analysis and experimentation to refine chatbot performance and enhance user experience

Utilize Azure services and tools for data processing, LLM evaluation, and deployment

Stay updated with the latest advancements in AI, machine learning, and natural language processing techniques

Implement best practices for data management, model evaluation, and deployment processes

Provide technical guidance and support to Data Scientist of Business Analytics teams

| WHAT YOU WILL GET

Leverage & grow your Gen AI/ LLM capabilities and build cutting-edge chatbot solutions to improve the efficiency within different segments of the energy value chain

Salary of 90-100k€ / year + Bonus on top (+~8% yearly salary)

A role with high visibility and strong impact on the overall Data, Analytics & AI strategy

Company Pension scheme (+~6% yearly salary) and extensive health and wellbeing-focused list of perks (i.e. 38-hour work week, 30+6 days vacation, nanny support, jobrad, ...)

1.300€ extra holiday payment

Hybrid Remote setup & a strong focus on individual flexibility

| NEXT STEPS

If you are interested in this role, we will share additional information about the company and position to support your decision-making process and invite you to a first chat with the head of engineering.