Senior Data Scientist

Finmatics GmbH
München, Germany
20 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Shift work
Job source

Tech stack

Amazon Web Services Microsoft Azure Big Data Data Architecture Apache Hadoop Python (Programming Language) Machine Learning Language Modeling Software Tools Tensorflow Google Cloud Large Language Models
+7 more
Apache Spark Generative AI Data Lakes Information Technology Data Management Data Pipelines Programming Languages

Job description

As a Senior Data Scientist (m/f/d), you will work on exciting projects that deliver first-class solutions powered by modern language models. You will have full command of the technical stack necessary for development and deployment, collaborate closely with stakeholders, and play a key role in shaping the company’s data science strategy., * Shape and implement the company’s data science strategy and drive innovation, with a primary focus on Generative AI and Agentic workflows

  • 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

Requirements

  • Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience
  • Hands-On experience with Generative AI and Agentic Workflows
  • Proven experience in taking part in 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 with managing feedback training pipelines and fine-tuning
  • Strong command of programming languages such as Python, R or any strongly-typed computer language
  • Good knowledge of cloud platforms (AWS, GCP, Azure) and deployment processes

Nice to Have

  • Familiarity with big data technologies like Spark or Hadoop or any other commercial Data Warehouse and/or Data Lake technologies
  • Strong background in data architecture and database management
  • Extensive experience with data management and engineering tools

Benefits & conditions

Be part of shaping the future of financial workflows using the latest technical possibilities.

  • Possibility to work remote and flexible working hours
  • Open and honest corporate culture
  • Enjoy the agility of a leading AI pioneer (Visma Group) and access a top tech-ecosystem
  • Motivated, dynamic team and flat hierarchies
  • Additional benefits include Eversports credits as well as company and team events

Join us and help shape the future of data science!

About the company

Finmatics - Your AI Accountant With Fin, the AI accountant, Finmatics makes accounting easier, faster, and smarter. Instead of manual routine tasks, our software handles them reliably-specifically designed for accountants in Germany and Austria. Our mission: To give back time, eliminate document chaos, and make workflows efficient, digital, and future-proof. At Finmatics, you get more than just innovative technology: you get an environment that promotes flexibility and gives you the space to contribute your ideas. Together, we ensure that smart technology feels like true relief-making Finmatics the favorite digital product of our customers.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

Videos

See all

Related articles

See all