Senior Data Scientist

🕒 April 22

🗣️🇩🇪 German Required

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Logo of Finmatics

Finmatics

51 - 200 employees

Founded 2017

☁️ SaaS

🤖 Artificial Intelligence

💸 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.

📋 Description

• Shape and implement the company's Data Science strategy and promote innovation with a focus on Generative AI and agentic workflows • Identify opportunities to leverage data for business value and impact • Take ownership of the entire technical stack from development to 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

🎯 Requirements

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, or a related field, or equivalent knowledge and experience • Practical experience with Generative AI and agentic workflows • Proven track record in delivering 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 programming skills in languages such as Python, R, or another strongly typed programming language • Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes

🏖️ Benefits

• Remote work and flexible working hours • Open and honest company culture • Autonomous work with short decision-making paths • Motivated, dynamic team and flat hierarchies • Team and company events in Vienna

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