Atos Group is hiring for the Data Science/Analyst with AI Tool role in Chennai. This opportunity is ideal for candidates with strong SQL and Python skills who are interested in working with Generative AI, Agentic AI, data engineering, and business intelligence. The role focuses on improving enterprise data quality, automating manual processes, and developing AI-powered solutions using modern cloud technologies.
As part of Atos, you will contribute to data-driven initiatives involving Natural Language Query (NLQ), ETL pipelines, cloud data platforms, and AI-powered automation. You will collaborate with data engineers, analysts, and business stakeholders to build scalable solutions that improve operational efficiency and support informed decision-making.
If you have experience with SQL, Python, cloud data platforms, and a passion for AI-driven analytics, this is an excellent opportunity to build your career with a global technology leader.
About the Company
Atos is a global leader in digital transformation, operating in 54 countries with approximately 56,000 employees. The company delivers services across cloud computing, cybersecurity, digital transformation, artificial intelligence, and enterprise technology solutions.
Atos serves clients across multiple industries by helping organizations modernize their technology landscape through cloud platforms, AI-powered solutions, cybersecurity, and advanced analytics. The company is recognized as a leading European provider of cybersecurity and cloud services while continuing to invest heavily in Generative AI and intelligent automation.
Job Overview
| Details | Information |
|---|---|
| Company | Atos Group |
| Role | Data Science/Analyst with AI Tool |
| Job Type | Full-Time |
| Location | Chennai |
| Domain | Data Science, AI & Data Engineering |
Role Overview
This role focuses on using Artificial Intelligence, Generative AI, and data engineering to automate enterprise data processes and improve data quality. You will work with structured and unstructured data, develop analytical workflows, and support business intelligence initiatives while leveraging cloud technologies.
The position combines traditional data analytics with modern AI capabilities, making it suitable for professionals interested in the intersection of data science and intelligent automation.
Key Responsibilities
Build Data Analytics Solutions
You will work with enterprise datasets to:
- Analyze business data
- Generate actionable insights
- Improve reporting processes
- Support data-driven decision-making
Your work will help organizations improve operational efficiency through better data utilization.
Develop AI-Powered Solutions
The role involves working with Generative AI and Agentic AI frameworks to automate data-related tasks.
Responsibilities include:
- Building AI-assisted workflows
- Supporting enterprise AI use cases
- Improving productivity through intelligent automation
- Integrating AI capabilities into data engineering processes
Work with SQL and Python
Strong hands-on experience with SQL and Python is essential.
You’ll use these technologies for:
- Data extraction
- Data transformation
- Data analysis
- Automation
- Pipeline development
Experience with PySpark is also valuable for processing large datasets efficiently.
Natural Language Query (NLQ)
You’ll contribute to implementing Natural Language Query (NLQ) capabilities that allow users to retrieve information using conversational language instead of traditional SQL queries.
This improves accessibility for business users and enhances enterprise reporting.
Improve Data Quality
A major focus of the role is improving enterprise data quality through automation.
Key activities include:
- Data Quality Assurance
- Data Audits
- Data Governance
- Compliance reporting
- Automated monitoring
Reducing manual effort while maintaining high-quality data standards is one of the primary objectives.
Business Intelligence and Reporting
You will help develop dashboards and reporting solutions that provide visibility into enterprise data quality and compliance.
This includes:
- Data audit dashboards
- Business Intelligence reports
- Compliance tracking
- Performance monitoring
These reports support strategic business decisions.
Cloud Data Engineering
You’ll work with modern cloud-based data platforms, including:
- Snowflake
- AWS Glue
- Amazon Bedrock
- Relational databases
- Non-relational databases
Exposure to cloud-native data engineering practices is an important aspect of this role.
ETL Development
The role includes working with ETL tools to move, transform, and process enterprise data.
Relevant technologies include:
- Informatica
- AWS Glue
- Python-based ETL pipelines
Understanding data integration concepts will help you succeed in this position.
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Required Skills
Successful candidates should possess:
- Strong SQL expertise
- Python programming
- PySpark
- Analytical thinking
- Problem-solving skills
- Business Intelligence knowledge
A strong understanding of enterprise data workflows is highly beneficial.
Technical Skills
Preferred technical skills include:
- SQL
- Python
- PySpark
- Snowflake
- AWS Glue
- Informatica
- Natural Language Query (NLQ)
- ETL development
- Data Governance
- Business Intelligence
- Data Quality
- Amazon Bedrock
- Generative AI
- Agentic AI
Experience working with both relational and non-relational databases is also valuable.
Company Rating & Reviews
Overall Rating: ⭐⭐⭐⭐☆ (4.1/5)
What Employees Like
- Global work environment
- Learning opportunities in cloud and AI
- Exposure to enterprise-scale projects
- Supportive team culture
- Career development programs
- Flexible learning resources
Common Challenges
- Project timelines can be demanding
- Learning multiple enterprise technologies simultaneously may require extra effort
Overall, Atos is considered a strong employer for professionals interested in cloud technologies, data engineering, artificial intelligence, and enterprise analytics.
Estimated Salary
Atos has not officially disclosed the salary for this role.
Based on similar Data Science and Data Analyst positions in Chennai, the estimated annual compensation is:
| Position | Estimated Salary |
|---|---|
| Data Science/Analyst | ₹5 – ₹9 LPA |
| Experienced Data Engineer/Data Scientist | ₹9 – ₹14 LPA |
Actual compensation depends on experience, technical expertise, interview performance, and business requirements.
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Why You Should Apply
This role offers several career advantages:
- Work with cutting-edge Generative AI technologies
- Exposure to enterprise cloud platforms
- Hands-on experience with Amazon Bedrock
- Opportunities to build AI-powered automation solutions
- Experience with large-scale enterprise data systems
- Career growth in Data Science, AI Engineering, and Data Engineering
Professionals interested in AI-powered analytics and cloud data engineering will find this role particularly rewarding.
How to Apply
Before submitting your application, ensure your resume highlights:
- SQL expertise
- Python and PySpark projects
- Data engineering experience
- Cloud platform exposure
- AI or machine learning projects
- Business Intelligence dashboards
- ETL implementations
- GitHub portfolio (if available)
Candidates with practical experience in SQL, Python, cloud platforms, and AI-driven analytics are likely to stand out during the recruitment process.
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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