
Senior Data Scientist – IT Operations, Analytics
Atos
full-time
Posted on:
Location Type: Office
Location: Pune • India
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Job Level
About the role
- 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.
Requirements
- Overall 15+ years of experience in IT & Software
- 8+ years of experience in data science
- 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)
- 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
- Excellent communication skills for cross-functional collaboration and executive reporting.
Benefits
- Diversity and inclusion
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLscikit-learnpandasTensorFlowstatistical modelingmachine learningtime-series analysisanomaly detection algorithmspredictive modeling
Soft Skills
independent workproject managementcommunicationcollaboration