Junior Data Scientist (m/f/d) Machine Learning InsurTech

CHECK24 Services GmbH; Frankfurt; Vor Ort; EUR 45.000 - 75.000; Vollzeit

Zusammenfassung

Ein innovatives Unternehmen sucht einen Junior Data Scientist mit einer Leidenschaft für Machine Learning und Data Science. In dieser spannenden Rolle werden Sie die Möglichkeit haben, Ihr Wissen in einem dynamischen Umfeld anzuwenden, indem Sie ML-Projekte entwickeln und implementieren, die einen messbaren Geschäftswert schaffen. Sie werden Teil eines engagierten Teams sein, das an der Optimierung von Datenpipelines und der Entwicklung von Generative AI-Anwendungen arbeitet. Nutzen Sie die Chance, Ihre Fähigkeiten in einem führenden digitalen Vergleichsportal weiterzuentwickeln und einen echten Einfluss auf die Kundenexperience zu haben.

Qualifikationen

• 1-2 Jahre Erfahrung in Data Science und ML-Projekten.
• Erfahrung mit großen Sprachmodellen und End-to-End-ML-Pipelines.

Aufgaben

• Identifizieren von geschäftsrelevanten ML-Anwendungsfällen und deren Umsetzung.
• Entwicklung und Bereitstellung von Generative AI-Anwendungen.

Kenntnisse

Machine Learning

Data Science

Python

SQL

Large Language Models

Version Control Systems

A/B Testing

Data Analysis

Ausbildung

Degree in Data Science or related field

Tools

HuggingFace

Langchain

OpenAI Tools

MLFlow

Kubeflow

Tableau

Git

Bitbucket

Jobbeschreibung

Junior Data Scientist (m/f/d) Machine Learning InsurTech

About this job

CHECK24 is the leading digital comparison platform in Germany. Do you have a passion for machine learning and data science and are looking for an environment to put your knowledge into practice? Then you've come to the right place!

With our internal BI and Data Science community at CHECK24, we work together across different locations to enable the best customer experience and make our comparison platform even better. We look forward to your applications as Junior Data Scientist (m/f/d) Machine Learning InsurTech at CHECK24 Vergleichsportal für Sachversicherungen GmbH in Frankfurt am Main.

Your Qualifications

• Successfully completed degree (e.g. data science, analytics, statistics, mathematics, computer science or similar)
• Around 1-2 years of professional experience in the field of data science
• Experience translating domain knowledge into ML Projects and develop end-to-end ML pipelines
• Demonstrated hands-on experience with large language models, including experimenting, fine-tuning, and using frameworks such as HuggingFace, Langchain, and OpenAI tools
• Coding knowledge in Python and SQL
• Sound understanding of concepts and algorithms in the field of ML, both traditional and advanced
• Experience in version control systems (e.g. Git/Bitbucket)
• Experience in developing classical and neural network-based recommendation systems is a plus
• Familiarity with orchestrating pipeline workflows using MLFlow or Kubeflow is an added advantage
• Knowledge of Tableau and A/B testing is a big plus

Your Responsibilities

• Build a strong understanding around the business products, processes and data sources
• Identify business relevant ML use cases: running pilots, implementation in production, subsequent monitoring (e.g. for drift) and ideating additional data requirements
• Develop and deploy Generative AI applications, including building RAG agents, fine-tuning, and deploying large language models (LLMs)
• Ensure that solutions developed have measurable business impact, are scalable and can be adapted to needs of different products/functions
• Optimization of ML models and existing data pipelines for performance, ensuring model version control and experiment control
• Manage Code Repositories using version control systems like Bitbucket/Git to maintain code quality and collaborative workflows
• Stay updated with the advancements in the field of Data Science and determine their application

Contact

Lara Jung
[e-mail]
Send us applications only through our online application form, please. Apply now