Hyderabad has one of India's deepest pools of Data Scientist and Data Engineer fresher openings — well over 100 roles are active across major platforms at any time, at startups, product firms and global capability centres. This guide covers the skills employers test, typical fresher pay, and where to apply.
Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal linked below before applying.
Role Overview
Location: Hyderabad · Hybrid / on-site
Type: Fresher full-time and internship roles (2026 batch active)
Experience: Fresher (2024–2026 graduates / final-year)
Package / Stipend: Varies; strong fresher data profiles commonly see ~Rs.4–8 LPA (confirm per listing)
Key Highlights
- 100+ active Data Science and Data Engineering fresher/intern roles listed for Hyderabad across platforms
- Data Scientist roles focus on Python, statistics, ML, SQL and visualization
- Data Engineer roles focus on Python/SQL, ETL pipelines, Spark and cloud data warehouses
- Many product companies and GCCs offer structured graduate/trainee tracks
Eligibility
- 2024–2026 graduates / final-year (B.Tech, MCA, M.Tech, M.Sc in CS / IT / Data Science / Statistics)
- Data Scientist: Python, Pandas/NumPy, Scikit-learn, statistics, SQL, ML fundamentals
- Data Engineer: strong SQL, Python, ETL, data modelling, Spark and a cloud platform
- Projects and a public GitHub portfolio give a strong edge
How to Apply
Search Internshala, Indeed, Glassdoor and Naukri/LinkedIn for "Data Science fresher Hyderabad" or "Data Engineer fresher Hyderabad". Filter for "Fresher" / "0–1 year" and apply to several relevant roles daily with a strong portfolio.
Pro tips: customise your resume with JD keywords (Python, SQL, Azure, AWS, CI/CD, Terraform, etc.), highlight projects, internships, certifications and your GitHub/portfolio, and apply early — fresher roles fill fast.
How to Prepare for This Role
Master Python, SQL, statistics and ML basics, and prepare with our Top 60 AI & ML interview questions and the Fresher-to-Hired 2026 roadmap.
More Latest Fresher Jobs in Hyderabad (June 2026)
- AI/ML Intern at V Solutions Inc
- Microsoft Azure Graduate Engineer (MACH)
- Deloitte Azure DevOps & SRE Fresher
- Fresher Cloud DevOps Engineer at Gravitix
- Amazon ML Data Operations Associate (GO-AI)
- Microsoft DevOps / Cloud Engineering Intern
- Revalsys Technologies AI/ML Intern
- Wissen Technology DevOps & Cloud Fresher
- AI/ML Engineer Intern Openings (40+ roles)
- Multi-Cloud DevOps Fresher & Intern Openings
- Impressico Trainee Engineer (Data Engineering / GenAI)
- Analytical Brains AWS DevOps Engineer (Fresher)
- Deloitte Azure/AWS DevOps Engineer (Analyst, Req 318874)
- Sigma AI Versity Software Engineer Associate
- Knowledgesprint AWS Cloud Engineer Intern
Want to Crack These Roles Confidently?
Cloud Soft Solutions (Hyderabad) offers intensive Python Full Stack + AI/ML + Multi-Cloud (AWS + Azure + GCP) + DevOps training with hands-on projects, interview preparation and proven placement support.
Get Job-Ready for 2026 Hiring
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Hands-on AI/ML, Data, Multi-Cloud and DevOps projects with interview prep and a 100% placement guarantee — built to make freshers job-ready for exactly these openings, in Ameerpet, Hyderabad.
Explore the APEX Program →📞 Want free counselling or resume/interview help for these companies? Call or WhatsApp +91 96660 19191 / +91 99496 16388, or email info@cloudsoftsol.com. Explore our AI & Cloud training, paid internship, and full course catalogue.
Frequently Asked Questions
How many Data Scientist and Data Engineer fresher jobs are there in Hyderabad?
At any time there are well over 100 active fresher and entry-level Data Science and Data Engineering roles listed for Hyderabad across Internshala, Indeed, Naukri, Glassdoor and LinkedIn — at startups, product companies and global capability centres.
What is the difference between Data Scientist and Data Engineer fresher roles?
Data Scientist roles focus on Python, statistics, machine learning, SQL and visualization to extract insights, while Data Engineer roles focus on building reliable data pipelines with SQL, Python, ETL, Spark and cloud data warehouses. Both value strong projects and a public portfolio.