Senior Data Scientist

7 dni temu

Kraków, Lesser Poland Motife Pełny etat 48 000 zł - 60 000 zł rocznie

We're hiring on behalf of our client — a global leader in financial technology that's redefining how people interact with currency. Their mission is to transform how customers meet all their currency needs by delivering innovative trading experiences, data analytics, and AI-driven solutions.

As a Senior Data Scientist, you'll play a strategic role in developing the next generation of AI-driven products and services that power intelligent decision-making across the organization.

You'll partner with stakeholders across engineering, product, and business domains to design, build, and deploy machine learning systems that turn complex data into a competitive advantage. Your work will directly influence the evolution of the company's award-winning platform, which processes billions of dollars daily.

Key takeaways:

Tech stack: Python (Pandas, Scikit-learn), TensorFlow/PyTorch, Advanced SQL, Looker, LangChain/LlamaIndex, GCP, Terraform, Spark

Salary: up to PLN, gross/monthly, UoP

Working model: Hybrid

Location: Kraków or Warsaw, 4 times a month in the office

Recruitment process:

  1. A call with MOTIFE's Recruiter (30 min)
  2. A call with client's HR representative
  3. Technical interview with data & AI experts (45 min)
  4. Final meeting with leadership
Responsibilities:
  • Design, build, and deploy autonomous AI agents and advanced ML models to automate workflows and enhance product capabilities.
  • Fine-tune and implement large language models (LLMs) and Retrieval-Augmented Generation (RAG) systems for natural language tasks.
  • Translate complex business challenges into analytical frameworks that deliver measurable business value.
  • Generate insights that inform product decisions and optimize processes across the organization.
  • Lead the entire ML lifecycle — from ideation to deployment and monitoring.
  • Build reproducible, scalable pipelines that ensure model reliability in production.
  • Stay ahead of emerging AI/ML trends, contributing to the organization's long-term data and innovation strategy.
Requirements:
  • A minimum 4–5 years of commercial experience in Data Science, with proven progression in complexity and business impact.
  • Proficiency in Python (Pandas, Scikit-learn) and SQL.
  • Experience with TensorFlow or PyTorch and cloud-based data solutions (GCP preferred).
  • Hands-on experience with LLMs, transformer architectures, and agentic AI frameworks (e.g., LangChain, LlamaIndex).
  • Understanding of the full MLOps lifecycle, including CI/CD, experiment tracking, and model governance.
  • Strong data storytelling ability with BI tools such as Looker.
  • Clear, structured communication — able to distill technical concepts for diverse audiences.

Nice to have

  • MSc or PhD in a quantitative discipline.
  • Experience with Terraform or distributed data processing (e.g., Apache Spark).

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