Junior Data Scientist Hiring 2026 in Hyderabad | 0–1 Years | ₹9–12 LPA

Junior Data Scientist Hiring 2026 in Hyderabad – 0–1 Years Experience

Tezvyn is currently featuring an opening for a Junior Data Scientist in Hyderabad with an Enterprise SaaS company. The role is suitable for candidates with 0–1 years of experience who have practical exposure to data science, machine learning, statistics, analytics, data engineering and Python.

The position offers a listed salary range of ₹9–12 LPA. Candidates should be comfortable explaining technical decisions, working with data and discussing the reasoning behind their approach during interviews. The hiring process places strong emphasis on practical understanding rather than simply memorizing frameworks or concepts.

Introduction

Data science roles increasingly require professionals who can work across analytics, machine learning, statistics and data engineering. This Junior Data Scientist opportunity in Hyderabad is designed for candidates who can apply these fundamentals in practical environments.

The role expects candidates to have experience with data science in production along with working familiarity with Python, analytics and data engineering. Candidates should also understand fundamentals such as data structures, HTTP and version control.

Quick Job Snapshot

About the Role

The Junior Data Scientist will work across data science, machine learning and statistics while interacting with analytics, data engineering and Python across the wider technology stack.

A major part of the role is being able to reason through technical decisions. Candidates are expected to understand machine learning and statistics deeply enough to explain why a particular approach was selected and why an alternative was rejected.

The role also involves technologies and practices commonly used in modern data platforms, including cloud services, SQL, data warehouses, orchestration tools, transformation frameworks, BI platforms and CI/CD.

Key Responsibilities

• Work on data science, machine learning and statistics-related problems.
• Apply analytical and data engineering concepts across the wider technology stack.
• Use Python for data science and tasks that cannot be effectively expressed through SQL.
• Work with SQL and develop queries that can withstand technical review.
• Use Git, branching and code review as part of the development workflow.
• Work with at least one cloud provider such as AWS, Azure or GCP.
• Understand CI/CD practices so that work can reach an environment without manual handoffs.
• Work with data warehouses such as BigQuery, Snowflake or Redshift.
• Understand orchestration and transformation tools such as Airflow, dbt or equivalent technologies.
• Work with BI platforms and dashboards used for analytics and decision-making.
• Apply experiment design concepts including sample size and statistical significance.
• Explain technical decisions clearly to people who were not directly involved in making those decisions.

Qualification Requirements

Education: Any graduate.

Experience: The position requires 0–1 years of experience with data science in production.

Technical Requirements: Candidates should have hands-on knowledge of machine learning and statistics, along with working familiarity with analytics, data engineering and Python.

Fundamentals: Knowledge of data structures, HTTP and version control is expected. Candidates should be able to explain these concepts clearly.

Additional Technical Exposure: Familiarity with Git, cloud platforms, CI/CD, SQL, data warehouses, orchestration, transformation tools, BI platforms and experiment design is expected as part of the role.

Communication: Candidates should be capable of explaining technical decisions to people without the same technical background.

Skills to Highlight in Your Resume

Candidates applying for this opportunity should highlight skills that are directly relevant to the job description, including:

• Data Science
• Machine Learning
• Statistics
• Analytics
• Data Engineering
• Python
• SQL
• Data Structures
• HTTP
• Git and Version Control
• Cloud – AWS, Azure or GCP
• CI/CD
• BigQuery, Snowflake or Redshift
• Airflow or dbt
• Looker, Tableau or Metabase
• Experiment Design and Statistical Significance

If you are preparing for data science interviews, reviewing practical questions can also help strengthen your preparation. You can explore our guide to top data science interview questions for freshers.

Candidates interested in expanding their technology skills can also explore our guide to highest-paying skills in 2026.

Why Consider This Opportunity?

This role provides exposure to multiple areas of modern data work instead of focusing only on one technology. Candidates can work across data science, machine learning, statistics, analytics, data engineering and Python.

The listed salary range of ₹9–12 LPA makes the opportunity particularly relevant for candidates who already have practical exposure to production-oriented data science.

The interview structure also emphasizes reasoning. Candidates should be prepared to explain how they would approach problems, why they selected a particular solution and why they would avoid an obvious alternative.

For candidates exploring technology career paths, understanding compensation and career options can also be useful. Our guide on highest-paying IT companies in India for freshers provides additional career information.

Those building their professional foundation can also read our comparison of Coursera vs Udemy for freshers.

How to Apply

1. Open the official Tezvyn job page for the Junior Data Scientist opportunity.
2. Review the experience and technical requirements carefully before applying.
3. Prepare an updated resume highlighting data science, machine learning, statistics, Python, SQL and relevant projects or production experience.
4. Sign in to the Tezvyn application platform and complete the required application details.
5. Submit your application through the official Tezvyn recruiting platform.
6. Monitor your registered email and phone for further communication from the recruiting team.

Apply for Junior Data Scientist

Important: Verify the latest job details on the official Tezvyn job page before submitting your application. The employer’s name is shared when candidates are shortlisted according to the listing.

Frequently Asked Questions (FAQs)

1. Who can apply for the Junior Data Scientist role?
The listing is for candidates with 0–1 years of experience in data science in production. Qualification is not specified by the source, so applicants should verify the latest eligibility requirements before applying.

2. Is this Junior Data Scientist role suitable for freshers?
The listing specifies 0–1 years of experience and requires data science experience in production. Candidates at the early stage of their careers should carefully assess whether their practical experience matches this requirement.

3. What skills are important for this role?
Key areas include data science, machine learning, statistics, analytics, data engineering, Python, SQL, Git, cloud, CI/CD, data warehouses, orchestration, BI and experiment design.

4. Where is the Junior Data Scientist position located?
The position is located in Hyderabad. The work mode is not specified by the company.

5. What is the salary for this Junior Data Scientist opportunity?
The listed salary range is ₹9–12 LPA.

Conclusion

The Junior Data Scientist opportunity in Hyderabad is relevant for early-career candidates with practical exposure to data science, machine learning and statistics. The role also expects familiarity with Python, SQL, cloud, data engineering and modern development practices.

Before applying, carefully review the eligibility requirements and prepare to explain your technical decisions during the interview process. Apply through the official Tezvyn job page and verify the latest details before submission.