
51 - 200 employees
Founded 2017
âď¸ SaaS
đ¤ Artificial Intelligence
đ¸ Finance
SaaS ⢠Artificial Intelligence ⢠Finance
Finmatics is an Austrian software company that provides an AI-powered bookkeeping platform to automate invoice and receipt processing. Its AI extracts data from paper, PDFs and e-invoices, generates booking proposals, supports complex split bookings, and integrates with accounting systems like DATEV, SAP, Microsoft Business Central, BMD and RZL. Finmatics targets accounting firms and businesses with a SaaS solution that reduces manual effort and errors, improves efficiency (up to ~70% time savings claimed), and offers ISO 27001 and EU-hosting compliance for secure accounting workflows.
đ February 25
đŚđš Austria â Remote
đľ âŹ65k / year
â° Full Time
đĄ Mid-level
đ Senior
đ Data Scientist
đŁď¸đŠđŞ German Required
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51 - 200 employees
Founded 2017
âď¸ SaaS
đ¤ Artificial Intelligence
đ¸ Finance
SaaS ⢠Artificial Intelligence ⢠Finance
Finmatics is an Austrian software company that provides an AI-powered bookkeeping platform to automate invoice and receipt processing. Its AI extracts data from paper, PDFs and e-invoices, generates booking proposals, supports complex split bookings, and integrates with accounting systems like DATEV, SAP, Microsoft Business Central, BMD and RZL. Finmatics targets accounting firms and businesses with a SaaS solution that reduces manual effort and errors, improves efficiency (up to ~70% time savings claimed), and offers ISO 27001 and EU-hosting compliance for secure accounting workflows.
⢠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.
⢠Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field, or equivalent knowledge and experience. ⢠Proven experience contributing to 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 managing feedback training pipelines and fine-tuning. ⢠Strong command of programming languages such as Python, R, or any strongly-typed language. ⢠Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes.
⢠Pleasant working atmosphere in central Vienna ⢠Possibility to work remotely ⢠Open and honest corporate culture ⢠Independent work and short decision-making paths ⢠Motivated, dynamic team and flat hierarchies ⢠Company and team events ⢠Flexible working hours ⢠Job ticket for Wiener Linien
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