Senior Data Scientist

Skills
REST ApisSQLArtificial IntelligenceAzure DatabricksData ScienceData VisualizationNatural Language Processing
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Experience working with applications and data in a cloud environment
  • Proficient in SQL and Python
  • Experience working with data pipelines, data warehouses, data lakes, and data quality tooling
  • Experience with Microsoft services such as Databricks and Azure Services
  • Experienced in working with LLM and Prompt Engineering
  • Experience working with RESTful APIs and microservices

Day to day

  • You'll be part of a dynamic team that values innovation and continuous improvement
  • You'll have the opportunity to work on groundbreaking projects that push the boundaries of AI and data management
  • You'll have the chance to grow your skills in a supportive and inclusive environment

Hiring process

  • Apply now and we'll aim to get back to you with feedback within 5 working days.