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.

Your Key Responsibilities

• Shape and implement the company’s data science strategy and drive innovation.
• 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

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience
• 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

• Practical experience with different LLM models of size and providers
• 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.

• Pleasant working atmosphere in the middle of Vienna
• Possibility to work remote
• Open and honest corporate culture
• Independent work and short decision-making paths
• Motivated, dynamic team and flat hierarchies
• Additional benefits include a subsidized lunch menu in our office (“Schrankerl”), a selection of free fruit and snacks as well as company and team events
• Flexible working hours
• Job ticket for Wiener Linien
• The minimum salary for this position is € 65.000,- overpayment possible depending on qualifications

Join us and help shape the future of data science!