Senior Data Scientist - R01570780

Brillio; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Brillio in Bengaluru is seeking a Senior Data Scientist with 5-8 years of experience, focusing on Azure Privileged Identity Management and analytics to optimize privileged access across Microsoft Azure.

You will design models, build dashboards with Power BI, collaborate with security and engineering teams, and drive automation using Azure tools to strengthen governance and risk mitigation.

Qualifications

• Bachelor's degree in a related field
• Microsoft Certified: Azure Security Engineer Associate
• Certification in Privileged Access Management or cloud security (e.g., CISSP, or equivalent)

Responsibilities

• Design and implement advanced data science models to optimize privileged access management within Microsoft Azure environments
• Develop and maintain analytics dashboards to monitor and report on privileged access activities, ensuring compliance and security standards
• Collaborate with cross‑functional teams to integrate Azure PIM solutions with organizational data workflows
• Analyze large datasets to identify patterns, anomalies, and risks related to privileged access, providing actionable insights
• Configure, manage, and optimize Azure PIM policies to enhance security and operational efficiency
• Automate data processing and reporting tasks using scripting and Azure-native tools
• Troubleshoot and resolve issues related to privileged access management, ensuring minimal disruption and maximum security
• Stay updated on industry best practices and emerging technologies in privileged access management and Microsoft Azure

Job description

Senior Data Scientist

Job requirements

Experience Range: 5 to 8 years of experience in data science, including substantial hands‑on work with Microsoft Azure Privileged Identity Management and privileged access management solutions.

Key Responsibilities

• Design and implement advanced data science models to optimize privileged access management within Microsoft Azure environments
• Develop and maintain analytics dashboards to monitor and report on privileged access activities, ensuring compliance and security standards
• Collaborate with cross‑functional teams to integrate Azure PIM solutions with organizational data workflows
• Analyze large datasets to identify patterns, anomalies, and risks related to privileged access, providing actionable insights
• Configure, manage, and optimize Azure PIM policies to enhance security and operational efficiency
• Automate data processing and reporting tasks using scripting and Azure-native tools
• Troubleshoot and resolve issues related to privileged access management, ensuring minimal disruption and maximum security
• Stay updated on industry best practices and emerging technologies in privileged access management and Microsoft Azure

Required Skills

• Microsoft Azure Privileged Identity Management (PIM)
• Microsoft Azure Active Directory administration
• Azure Data Factory
• Azure Databricks
• Power BI or similar data visualization tools
• Python or R for data analysis and automation
• SQL and NoSQL database management
• Implementation of security and compliance controls in Azure
• Statistical modeling for access risk analysis

Preferred Skills

• Experience with machine learning algorithms for security threat detection
• Expertise in Azure Sentinel or other SIEM platforms
• Knowledge of automation tools such as Terraform or Azure ARM templates
• Familiarity with REST APIs and integration with external data sources
• Experience with cloud governance and policy management
• Certification in advanced Azure security solutions

Desired Qualifications

• Bachelor's degree in Computer Science, Data Science, Information Technology, or a closely related discipline
• Microsoft Certified: Azure Security Engineer Associate
• Certification in Privileged Access Management or cloud security (e.g., Certified Information Systems Security Professional - CISSP, or equivalent)

Additional Information

MDM Stibo Engineer