Senior Data Scientist IT Operations & Analytics

Atos; Chennai District, Bengaluru, Mumbai; Hybrid; INR 5,000,000 - 9,000,000; Full time

Job summary

Atos in India seeks a Senior Data Scientist for IT Operations & Analytics to lead analytics across ITSM, telemetry, and operational data. The role focuses on turning complex data into actionable insights that improve reliability, user experience, and business value.

You will build predictive models for incidents, design anomaly detection, and create dashboards for technical and executive stakeholders, collaborating with IT teams to embed intelligence into workflows.

Qualifications

• 15+ years of experience in IT & Software, 8+ years in data science, with at least 3 years in IT operations analytics.
• Proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow).
• Strong understanding of ITSM data structures, incident lifecycle, and operational KPIs.

Responsibilities

• Lead end-to-end data science projects focused on IT operations, incident management, and experience optimization.
• Analyze data from ITSM systems (e.g., ServiceNow) and telemetry platforms (e.g., Nexthink, Intune) and infrastructure monitoring tools.
• Develop predictive models for incident forecasting and proactive remediation.
• Design anomaly detection algorithms to identify performance degradation and risks.
• Build dashboards to communicate insights to technical and executive stakeholders.
• Collaborate with IT architects and automation teams to embed intelligence into workflows.
• Evaluate data quality, lineage, and governance across IT data sources.

Skills

Python

SQL

scikit-learn

TensorFlow

Time-series analysis

AIOps

LLMs & SLMs

Communication

Education

Advanced degree in Computer Science or Statistics

Tools

Nexthink

SysTrack

Intune

SCCM

ServiceNow

Job description

Senior Data Scientist IT Operations & Analytics

We are looking for Senior Data Scientist IT Operations & Analytics please find the JD below:

Location

Bangalore (Whitefield) or Chennai (Siruseri) or Mumbai (Airoli (West).

Type of Hire

Full-Time

Experience

15+ years

Role Overview

Were seeking a highly skilled and self-directed Senior Data Scientist to lead complex analytics initiatives across IT operations, ITSM platforms, and telemetry systems. This role demands deep technical expertise, strategic thinking, and the ability to translate raw data into actionable insights that drive operational efficiency, user satisfaction, and business value.

Key Responsibilities

• Lead end-to-end data science projects focused on IT operations, incident management, and experience optimization.
• Analyze structured and unstructured data from ITSM systems (e.g., ServiceNow), endpoint telemetry platforms (e.g., Nexthink, Intune), and infrastructure monitoring tools.
• Develop predictive models for incident forecasting, root cause analysis, and proactive remediation.
• Design anomaly detection algorithms to identify performance degradation, user friction, or compliance risks.
• Build dashboards and visualizations to communicate insights to technical and executive stakeholders.
• Collaborate with IT architects, service owners, and automation teams to embed intelligence into operational workflows.
• Evaluate data quality, lineage, and governance across diverse IT data sources.
• Stay current with emerging trends in AIOps, DEX, and IT analytics.

Required Skills & Experience

• Overall 15+ years of experience in IT & Software, 8+ years of experience in data science, with at least 3 years focused on IT operations or enterprise IT analytics.
• Proficiency in Python, SQL, and data science libraries (e.g., scikit-learn, pandas, TensorFlow).
• Strong understanding of ITSM data structures, incident lifecycle, and operational KPIs.
• Experience with telemetry platforms (e.g., Nexthink, SysTrack, Intune, SCCM) and endpoint data.
• Familiarity with cloud infrastructure metrics (Azure, AWS, GCP) and log analytics.
• Expertise in statistical modeling, machine learning, and time-series analysis.
• Ability to work independently and manage multiple complex projects simultaneously.
• Expertise in using compute and AI resources on MS Azure.
• Expertise in using statistical un-supervised models, supervised models, LLMs and SLMs
• Excellent communication skills for cross-functional collaboration and executive reporting.

Preferred Qualifications

• Experience in AIOps, DEX, or EUC analytics domains.
• Knowledge of ServiceNow, performance analytics, and integration workflows.
• Exposure to MLOps frameworks and model deployment in enterprise environments.
• Advanced degree in Computer Science, Statistics, or a related field.