Company: Shell
Skills: IT - Analysis & Management
Education: High School/Secondary
Location: Kraków, Lesser Poland Voivodeship, Poland

Are you a budding data scientist with solid programming skills and some experience in designing and implementing Machine Learnings pipelines? If you enjoy writing clean code, tackling challenging problems, and thinking at scale, read on.

As an associate data scientist with an ML engineering focus, you'll be responsible for:
  • Assisting in the development of data science solutions for problem statements in finance.
  • Supporting the design and implementation of modeling pipelines.
  • Collaborating on the integration of manual experiments into automated pipelines and assisting other data scientists.
  • Aiding in continuous integration and development by leveraging cloud services (Azure).
  • Learning and applying world-class standards and best practices in project execution and quality of delivery.
  • Clearly communicating requirements, challenges, and solutions to other teams and stakeholders.

We are looking for:

An enthusiastic, self-motivated individual with some experience in a similar role (Data Scientist/ML Engineer/Python Developer). You appreciate challenges, can adapt quickly, and always balance the quality of your work with the timeliness of delivery.

Your strongest skills ideally are:
  • Proficient in Python programming and object-oriented software design.
  • Familiarity with classical ML techniques (emphasis on time-series forecasting), model evaluation, and the underlying mathematics.
  • Some experience using cloud services (Azure preferred).
  • Familiarity with container technologies like Docker and Kubernetes.
  • Git.

Nice to have:
  • Git repository to showcase your work.
  • Some experience with test-driven development.
  • Exposure to distributed computing.
  • Basic understanding of CI/CD concepts and tools.
  • Algorithm optimization.
  • Familiarity with finance/financial accounting.
  • Ability to read and design UML documentation.