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.
We are looking for an accomplished and visionary Senior Data Scientist (m/f/d) to work on our exiting projects that deliver first-class solutions powered by modern language models. This role involves full command of the technical stack necessary for development and deployment, collaborative work with stakeholders, and making the footprint in the company’s data science strategy.
Your Key Responsibilities
Strategic Contribution:
Collaborate with leadership in helping to shape and implement the company’s data science strategy
Identify strategic opportunities to leverage data for business value
Technical Expertise:
Command the full technical stack required for development and deployment
Develop and maintain scalable machine learning models and systems
Ensure robust data management and engineering practices for efficient data pipelines
Stakeholder Collaboration:
Partner with cross-functional teams to gather requirements and provide insights
Communicate complex technical concepts also to 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 (5+ years) in taking part and/or leading complex projects
Expertise in modern language models and machine learning frameworks
Practical experience with different LLM models of size and providers
Deep expertise in optimising LLM-based pipelines with regards to performance and costs
Mastering building agents across different tools and LLMs
Mastering LLM-based data capture and extraction
Experience with modern LLM-Supporting Frameworks and Tools
Proficiency in modern LLM Prompting techniques and approaches
Proficiency in building of evaluation pipelines with data-driven 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
Preferred Qualifications
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
Good knowledge of accounting and bookkeeping
Key Competencies
Excellent problem-solving and strategic thinking skills
Ability to innovate and drive process improvements
Strong communication and collaboration abilities
Commitment to ethical AI practices and data governance
What We Offer
Your Workplace: You work fully remote and flexibly from anywhere within Europe. We focus on results—not on where your desk is located.
Teamwork: Our culture is clear, direct, and appreciative. You will be part of a supportive team with flat hierarchies that grows together, even in a remote setting.
Structured Onboarding & Buddy: We won’t leave you hanging, even from afar. Your personal Buddy and our structured onboarding process ensure you find your feet quickly and start your journey well-connected.
Flexible Working Hours: You design your own schedule so that you can be productive while maintaining an optimal work-life balance.
Modern Equipment: You will receive a company laptop and modern technical equipment to ensure your home setup is just as efficient.
Company Events: Our company and team events take place in Vienna. Remote colleagues are, of course, warmly invited to join us!
The minimum salary for this position is € 65.000,- overpayment possible depending on qualifications
Join us and help shape the future of data science!