Are you an aspiring data scientist looking to kickstart your career with a global technology leader? Astreya has announced an exciting opportunity for freshers and students to join their team as a Data Science Intern. This is a fully remote position based in India, offering you the flexibility to work from home while gaining invaluable hands-on experience in data engineering, machine learning, and business intelligence. Read on to discover the detailed eligibility criteria, required skills, job responsibilities, and step-by-step application process for this highly coveted internship.

Job Overview Table

Detailed Company Profile & Overview

Astreya is a premier global IT managed services provider dedicated to creating technology solutions that are reliable, efficient, and human-centered. By partnering with some of the world's most innovative and forward-thinking organizations, Astreya helps optimize modern IT environments across the digital workplace, cloud infrastructure, data analytics, artificial intelligence, and enterprise platforms.

At the core of Astreya's success is its people. Across various regions and diverse roles, "Astreyans" bring deep technical expertise, relentless curiosity, and an unwavering commitment to excellence. The company operates on the belief that great technology starts with great humans, which is why they invest heavily in continuous learning, cross-functional collaboration, and long-term career growth. Transparency, accountability, and trust guide how they work with each other and their customers, fostering an inclusive culture where diverse perspectives are highly valued.

Detailed Job Description and Responsibilities

As a Data Science Intern at Astreya, you will not just be observing from the sidelines. You will be fully integrated into a dynamic team of experienced data engineers and data scientists, working on real-world business challenges. This internship is designed to provide you with comprehensive exposure to the entire data lifecycle, from raw data ingestion to predictive modeling and executive reporting.

Your day-to-day responsibilities will include:

• Data Preparation & Exploration: Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various internal and external sources. You will perform exploratory data analysis (EDA) to uncover underlying trends, anomalies, and key insights.
• AI & Model Development: Support the development, testing, and deployment of machine learning models. You will work on tasks such as classification, regression, and forecasting, learning how to evaluate and optimize models for real-world business applications.
• Business Problem-Solving: Apply analytical and logical thinking to solve complex business challenges, including customer segmentation, marketing campaign analysis, and operational efficiency improvements.
• Collaboration & Communication: Partner with product, business, and engineering teams to understand project requirements and translate business goals into data-driven solutions. You will present your findings clearly to both technical and non-technical stakeholders.
• Visualization & Reporting: Create intuitive, interactive dashboards and data visualizations using modern BI tools to help stakeholders make informed, data-backed decisions.
• A/B Testing: Learn the fundamentals of designing, executing, and analyzing controlled experiments to test business hypotheses and measure product changes.

Detailed Eligibility Criteria

Astreya is looking for enthusiastic, self-motivated individuals who possess a strong analytical mindset. To be eligible for this internship, candidates should meet the following criteria:

• Educational Background: Pursuing or recently completed a Bachelor's or Master's degree (B.E./B.Tech, M.E./M.Tech, MCA, M.Sc.) in Computer Science, Data Science, Information Technology, Statistics, Mathematics, or a highly quantitative field.
• Eligible Batches: Open to students graduating in 2024, 2025, or 2026 who are available for a part-time remote internship.
• Academic Performance: A strong academic foundation with a clear understanding of computer science fundamentals, algorithms, and mathematical concepts.
• Availability: Ability to commit to the designated part-time hours and work productively in a remote environment.

Required Skills & Preferred Qualifications

To succeed in this role, you should possess a blend of technical competencies and strong analytical soft skills. Here is what Astreya is looking for:

• Programming Languages: Basic familiarity with Python or R. You should be comfortable writing simple scripts to manipulate data, clean datasets, and implement basic algorithms.
• Database Knowledge: Introductory SQL skills. You should understand how database tables are structured and be able to write basic queries to extract, filter, and join data.
• Statistical Foundations: A solid grasp of core statistical concepts such as probability distributions, hypothesis testing, regression analysis, and correlation.
• Data Mining & ML: Basic understanding of data mining techniques, machine learning algorithms, and data visualization libraries (like Matplotlib, Seaborn, or ggplot2).
• Visualization Tools: A strong willingness to learn and explore business intelligence tools like Tableau or Power BI under the guidance of senior mentors.
• Analytical Mindset: Logical thinking, pattern recognition capabilities, and a natural curiosity to ask questions and explore data to uncover hidden insights.

Selection Process

The selection process at Astreya is designed to evaluate both your technical potential and cultural alignment with the company's values. The typical hiring workflow includes:

1. Resume Screening: Initial shortlisting based on academic background, relevant projects, skills, and overall resume quality.
2. Technical Assessment: An online test or assignment evaluating basic programming (Python/R), SQL queries, and statistical problem-solving.
3. Technical Interview: A virtual interview with a senior data scientist or engineer to discuss your projects, technical knowledge, and analytical approach.
4. HR Interview: A final round to assess communication skills, cultural fit, availability, and internship logistics.

How to Apply

Ready to take the first step toward a rewarding career in data science? Follow these simple steps to submit your application:

1. Click on the Apply Now button below to visit the official Astreya Workday career portal.
2. Review the job details and click on the "Apply" button on the Workday page.
3. Create an account or sign in if you already have one.
4. Fill out the application form with your personal details, educational background, and contact information.
5. Upload your updated resume/CV and any relevant project portfolios or certificates.
6. Submit your application and keep an eye on your email for further updates from the recruitment team.