Staff Data Scientist (m / f / d)

Finmatics is a fast-growing software as a service (SaaS) company that provides artificial intelligence (AI) solutions to thousands of businesses of all sizes. Our mission is to automate financial & accounting processes in order to eliminate unnecessary manual tasks.

As a Staff Data Scientist (m / f / d) at Finmatics, you will play a leading role in shaping our advanced AI solutions, especially those leveraging modern Large Language Models (LLMs). You will lead small teams, manage projects end-to-end, and work closely with leadership to define the company’s data science strategy. This position combines hands-on technical work with strategic thinking and close cross-functional collaboration.

Your Key Responsibilities :

Lead & Inspire

Guide a small, high-performing team of data scientists and engineers, fostering a collaborative and innovative environment.

Own Projects End-to-End

Drive the design, development, and deployment of LLM-powered solutions—from idea to impact—ensuring timely delivery and alignment with business goals.

Shape Strategy

Collaborate with leadership to define Finmatics’ data science roadmap and uncover opportunities where data can create real business value.

Build Scalable Systems

Develop robust ML models and data pipelines using modern tools and frameworks, ensuring scalability, reliability, and performance.

Bridge Teams & Insights

Partner with cross-functional teams to gather requirements, translate them into actionable solutions, and communicate complex concepts clearly to both technical and non-technical stakeholders.

Required Qualification :

• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, or a related field.
• Proven experience leading teams and delivering complex machine learning projects.
• Deep expertise in modern language models (LLMs), including prompting techniques, fine-tuning, and related tooling.
• Strong programming skills (e.g., Python, R, or similar) and solid knowledge of cloud platforms (AWS, GCP, or Azure).
• Hands-on experience in data engineering, data management, and building scalable ML systems.
• Ability to translate business needs into technical solutions and communicate effectively across teams.

What we offer :