Senior Data Scientist (mfd)

Finmatics Your AI Accountant With Fin the AI accountant Finmatics makes accounting easier faster and smarter. Instead of manual routine tasks our software handles them reliablyspecifically designed for accountants in Germany and Austria. Our mission: To give back time eliminate document chaos and make workflows efficient digital and future-proof. At Finmatics you get more than just innovative technology: you get an environment that promotes flexibility and gives you the space to contribute your ideas. Together we ensure that smart technology feels like true reliefmaking Finmatics the favorite digital product of our customers.

As a Senior Data Scientist (m/f/d) you will work on exciting projects that deliver first-class solutions powered by modern language models. You will have full command of the technical stack necessary for development and deployment collaborate closely with stakeholders and play a key role in shaping the companys data science strategy.

Your Key Responsibilities

• Shape and implement the companys data science strategy and drive innovation with a primary focus on Generative AI and Agentic workflows
• Identify opportunities to leverage data for business value and impact
• Take ownership of the full technical stack for development and deployment
• Design build and maintain scalable machine learning models and efficient data pipelines
• Ensure robust data management and engineering practices
• Collaborate with cross-functional teams to gather requirements and deliver insights
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders

Required Qualifications

• Masters or Ph.D. in Data Science Computer Science Statistics or related field or equivalent knowledge and experience
• Hands-On experience with Generative AI and Agentic workflows
• Proven experience in taking part in complex projects
• Expertise in modern language models and machine learning frameworks
• Experience with modern LLM-Supporting Frameworks and Tools
• Proficiency in modern LLM Prompting techniques and approaches
• Experience with managing feedback training pipelines and fine-tuning
• Strong command of programming languages such as Python R or any strongly-typed computer language
• Good knowledge of cloud platforms (AWS GCP Azure) and deployment processes

Nice to Have

• Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies
• Strong background in data architecture and database management.
• Extensive experience with data management and engineering tools

What We Offer

Be part of shaping the future of financial workflows using the latest technical possibilities

• Homeoffice and flexible working hours
• Open and honest corporate culture
• Independent work and short decision-making paths
• Motivated dynamic team and flat hierarchies
• Team & company events in Vienna

Join us and help shape the future of data science!