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Senior Data Scientist
Skills
REST ApisSQLArtificial IntelligenceAzure DatabricksData ScienceData VisualizationNatural Language Processing
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.