Senior Data Scientist @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 Senior Data Scientist, 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.
What You’ll Be Doing:
Shape and implement the company’s data science strategy and drive innovation.
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.
What We’re Looking For:
Master’s or Ph.D. in Data Science, Computer Science, Statistics, or related field or equivalent knowledge and experience.
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:
Practical experience with different LLM models of size and providers.
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.
What We Offer:
We provide a comprehensive benefits package that supports your career development, work-life balance, and overall well-being.