Senior Data Scientist — Remote AI/LLM Leader

Finmatics; Wien; Remote; EUR 59,000 - 72,000; Full time

Benefits offered by this job

Fully remote in Europe

Flat hierarchies

Buddy onboarding

Flexible working hours

Modern equipment

Company events in Vienna

Remote-inclusive team events

Job summary

Finmatics is seeking an accomplished Senior Data Scientist (m/f/d) to advance our AI-powered accounting solutions. You will lead the data science strategy, develop scalable ML models, and work with cross-functional teams across Europe.

The role emphasizes practical deployment, data engineering, and cost-aware model optimization. Applicants should have a strong background in LLMs, Python/R, cloud platforms, and a track record of delivering complex DS projects.

Qualifications

• Advanced degree in data science, CS, statistics or related field, or equivalent experience.
• 5+ years leading complex DS projects or hands-on leadership.
• Expertise with modern language models and ML frameworks.
• Experience with various LLMs and providers.
• Optimization of LLM pipelines for performance and costs.
• Building agents across tools and LLMs.
• LLM-based data capture and extraction.
• Familiarity with ML-supporting frameworks and tools.
• Proficient in Python, R or other typed languages.
• Knowledge of cloud platforms (AWS/GCP/Azure) and deployment.

Responsibilities

• Shape and implement the company’s data science strategy with leadership.
• Identify strategic opportunities to leverage data for business value.
• Build and maintain scalable ML models and systems.
• Ensure robust data management and engineering practices for pipelines.
• Partner with cross-functional teams and translate tech for non-technical stakeholders.

Skills

Python

R

LLM expertise

Cloud platforms

Data engineering

Prompting techniques

Education

Master's or PhD in Data Science

Equivalent experience

Tools

Spark

Hadoop

SQL

Docker

Airflow

Job description

Finmatics is seeking an accomplished Senior Data Scientist (m/f/d) to advance our AI-powered accounting solutions. You will lead the data science strategy, develop scalable ML models, and work with cross-functional teams across Europe.

The role emphasizes practical deployment, data engineering, and cost-aware model optimization. Applicants should have a strong background in LLMs, Python/R, cloud platforms, and a track record of delivering complex DS projects.