Data Science Tech Lead @Finmatics

Meet the team - Know the product

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.

Let’s talk about our people

An open, honest, and dynamic corporate culture based on equality is our top priority. Every day, we encourage our employees to contribute their creativity, their own ideas, and their creative suggestions, even across departments.

As a Data Science Tech Lead, 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.

What You’ll Be Doing:

• 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.

What We’re Looking For:

• 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:

We provide a comprehensive benefits package that supports your career development, work-life balance, and overall well-being.

Ready to dive deeper into our benefits? Click on the video below and learn more!

Want to get to know us better? You can find more about us on Linkedin, Facebook, and also check out our own Tech Zone.

Join us and make progress happen!