Data Scientist

Vaillant Group

Remscheid · flexible 1mo ago

About the role

In this role, you will translate business requirements into analytical use cases (Generative AI and Machine Learning) and drive innovation and efficiency across the Vaillant Group.
You will effectively analyze business use cases regarding feasibility and effort estimation based on the Vaillant data model, including data quality and necessary preprocessing steps.
You will apply state-of-the-art GenAI design patterns (including Agentic Workflows) and machine learning techniques to address business stakeholder needs.
In addition, you will critically evaluate AI solutions and analyses using metrics to validate the achievement of business objectives and recommend improvements.
You will communicate results with cross-functional project members and stakeholders, using clear presentations and understandable visualizations of insights.
Additionally, you will utilize cloud services and self-programmed (Python) applications to develop production-ready AI/ML solutions.

We offer our employees the opportunity to work up to 70% of their working hours remotely.
In addition, they can work up to 30 days a year from a country in the European Union.
Development programs: Our development programs "GROW, EVOLVE, LEAD and EXCEL" prepare you for the next step in your career.
Our clearly structured onboarding process, including an Onboarding App, enables us to integrate new employees into Vaillant Group quickly and in a targeted manner.
We offer comprehensive preventive health counseling & measures.
We offer an attractive remuneration package in accordance with the NRW IG Metall collective wage agreement, including vacation pay and Christmas bonus.

You are a team player, curious, with initiative and motivation to work in an agile, international, and interdisciplinary environment.
You are fluent in English; German language skills would be a plus.

You bring more than 4 years of professional experience in the field of Data Science/Data Analytics with a proven track record in Data Science projects.
You have excellent programming skills (in Python); visualization of complex data; very good experience with cloud services and Data Science-related components (especially in Microsoft Azure).
You have gained strong experience with Generative AI (GenAI) and/or Agentic AI solutions in business projects solving real-world challenges.