Data Science Consultant - Azure Modernization (Flexible)

Cognizant; Elsene; On-site; EUR 8,400 - 14,000; Full time

Job summary

Cognizant in Hyderabad is seeking a Consultant – Data Science to contribute to technical delivery across modernization and cloud transformation projects. You will work under senior guidance, applying hands-on skills to implement solutions aligned with standards.

You will collaborate with App Innovation, Cloud Platform, and Data & AI teams, follow delivery frameworks, participate in design reviews, and help ensure quality, maintainability, and cost efficiency using Azure technologies.

Qualifications

• 2+ years deploying solutions on Azure.
• 2+ years data science / ML in consulting or client-facing settings.
• Experience building and deploying data/ML components on Azure or similar clouds.
• Proficiency in data engineering, ML, or analytics areas as listed.
• Familiarity with GitHub and version control workflows.

Responsibilities

• Execute delivery tasks that support solution architectures and modernization priorities.
• Implement application, data, or cloud components based on established designs.
• Collaborate with team members across App Innovation, Cloud Platform, and Data & AI to ensure integrated delivery.
• Follow delivery frameworks, coding standards, and quality checks established for the project.
• Participate in design walkthroughs and apply feedback to improve execution.

Skills

Azure

Data Science

Python

ML & AI

Git

Education

Azure Data Engineer Certification

Databricks Certification

Tools

Azure Databricks

Power BI

MLflow

GitHub

Job description

Cognizant in Hyderabad is seeking a Consultant – Data Science to contribute to technical delivery across modernization and cloud transformation projects. You will work under senior guidance, applying hands-on skills to implement solutions aligned with standards.

You will collaborate with App Innovation, Cloud Platform, and Data & AI teams, follow delivery frameworks, participate in design reviews, and help ensure quality, maintainability, and cost efficiency using Azure technologies.