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 reliably—specifically 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 relief—making 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 company’s data science strategy.
Shape and implement the company’s 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
Master’s 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
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!