data science With generative ai internship
data science With generative ai internship

Innomatics Data Science Internship – For Data Enthusiasts

The Innomatics Data Science Internship is an exclusive opportunity designed for individuals proficient in data science, artificial intelligence (AI), or machine learning (ML). This program offers hands-on experience in real-world projects, enabling participants to apply their theoretical knowledge to practical scenarios. Interns will collaborate with industry experts, gaining insights into advanced data science techniques and methodologies.

Internship Benefits

Letter of Recommendation (LOR):

Top performers will receive a personalized Letter of Recommendation recognizing their contribution and excellence during the internship.

Participation Certificate

All participants will receive a Participation Certificate acknowledging their successful engagement in the program.

Certificate of Completion

Interns who fulfill program requirements will be awarded a Certificate of Completion highlighting their acquired skills and experience.

Placement Opportunities:

Outstanding interns will get direct placement opportunities at Innomatics Research Labs based on performance and dedication.

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Lets Build the Future

Prerequisites

This internship is tailored for individuals who possess:

  • Proficiency in data science, AI, or ML concepts.

  • Hands-on experience with relevant tools and technologies.

  • Strong analytical and problem-solving skills.

  • Effective communication and teamwork abilities.

Internship Details

StageTimeline
Duration12 Weeks
ModeOnline
Location

Innomatics Research Labs, Hyderabad

StipendCompetitive, based on performance
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What you’ll do?

  • Deliver an end-to-end capstone: problem framing → data ingestion → feature engineering → modeling → evaluation → deployment (demo or reproducible pipeline).
  • Ship weekly sprint artifacts: cleaned datasets, Jupyter notebooks, versioned code (Git), unit tests for key functions, and a final 10-minute demo.
  • Present technical write-ups and a 1,500–2,500 word project report suitable for inclusion on your CV and used in placement evaluations.
  • KPI focus: reproducibility, model-explainability, business impact metric, and production readiness.
  • Rationale: Industry internships emphasis real contributions and end-to-end experience rather than isolated exercises. IBM and other enterprises expect interns to work on real projects from day one.

Who we’re looking for?

  • Eligibility: Current final-year students (bachelor’s or master’s) graduating within the coming 6–12 months.
  • Technical baseline: Comfortable in Python (pandas, numpy), basic SQL, basic statistics and probability, familiarity with at least one ML library (scikit-learn / PyTorch / TensorFlow).
  • Mindset: Curious, evidence-driven, comfortable with ambiguity, and committed to finishing a production-grade project.
  • Portfolio (preferred): At least one prior analytics or ML project (GitHub links), coursework in statistics/linear algebra.

What we offer?

  • Hands-on mentorship: Assigned mentor (senior data engineer / data scientist), weekly 1:1s, code reviews.

  • Real projects: Work on business-relevant problems with measurable KPIs; not “toy datasets.” See project examples below.

  • Career outcomes: Certificate, recommendation letter, interview priority for Innomatics roles (PPO potential).

  • Stipend & logistics: Competitive stipend (program option — specify at launch). Remote / hybrid models available.

Register now
Free Data Science Internship

Batches

Free Internships

Hiring Partners

Career Transitions

Success Stories of Innomatics Alumni

Aravind MuddalaKandacharam LikhithaMahesh BodhankarPanaganti AkshaySangeetha TellakulaSrimanth Murthy ThummaV VasanthaBejjanki Venkat Siva PrasadBhavana JittugaDivya NimbalkarSana AhmedSanjana K MSheshu KurapatiYanamala Madhava Reddy Sathvik SRatna SunandithaG Venkata Satya Naga Uma SushmaChaitanya LokhandeBolla Sai Durga Siva ManikantaBhanu Venkat PrakashAniket SorateAditi KodandeSingathala Bharathasimha ReddyAnnaveni Sagar Chaitanya Lakshmi Gandudi Leeladri Rohith Kumar Devarshetty Lavanya Tausif Ansari Rohit Girhe K. Narendra Reddy Gayatri Pansare Challa Naveen Sravani Vidya Sagar Raju Mohitha Rakesh Reddy Sireesha Keerthi Reddy Buddepu Vivek Charugundla Mohan Kumar ChennaKeshava T Diddiga Anjali Dugyala Thirupathi Rao E Srikanth Garabapu Sai Teja Gaurav Kulkarni Gollapalli Ganesh Katlagunta Rajesh Lucy Fernandes M Sai Ajay Gowda Mrunal Dilip Rinalt Rajender Reddy Padigela Rashmitha Ravula Shiva Prasad Sourav Kumar Sahu Sravya Chinthamreddy Srikanth G Sriram Sanjay Thirumal Reddy Kotha Vedha Vidhya S L Vishal Chavanke Aravind MuddalaKandacharam LikhithaMahesh BodhankarPanaganti AkshaySangeetha TellakulaSrimanth Murthy ThummaV VasanthaBejjanki Venkat Siva PrasadBhavana JittugaDivya NimbalkarSana AhmedSanjana K MSheshu KurapatiYanamala Madhava Reddy Sathvik SRatna SunandithaG Venkata Satya Naga Uma SushmaDivya NimbalkarChaitanya LokhandeBolla Sai Durga Siva ManikantaBhanu Venkat PrakashAniket SorateAditi KodandeSingathala Bharathasimha ReddyAnnaveni Sagar Chaitanya Lakshmi Gandudi Leeladri Rohith Kumar Devarshetty Lavanya Sravani Vidya Sagar Raju Mohitha Rakesh Reddy Sireesha Keerthi Reddy Buddepu Vivek Charugundla Mohan Kumar ChennaKeshava T Diddiga Anjali Dugyala Thirupathi Rao E SrikanthGarabapu Sai Teja Gaurav Kulkarni Gollapalli Ganesh Katlagunta Rajesh Lucy Fernandes M Sai Ajay Gowda Mrunal Dilip Rinalt Rajender Reddy Padigela Rashmitha Ravula Shiva Prasad Sourav Kumar Sahu Sravya Chinthamreddy Srikanth G Sriram Sanjay Thirumal Reddy Kotha Vedha Vidhya S L Vishal Chavanke

What Our Data Science Students Say About Innomatics

Yash Jadhav

⭐⭐⭐⭐⭐

 I’m incredibly grateful to Innomatics Research Labs for helping me land a job in the data domain! Their well-structured curriculum, real-time projects, and continuous support played a key role in my journey. A heartfelt thanks to all the trainers and mentors for their in-depth sessions and hands-on training, which made even the most complex concepts easy to understand. If you’re passionate about Data Science or Analytics and looking for the right place to learn, grow, and get placed – Innomatics is the place to be!

Karthik Dappili

⭐⭐⭐⭐⭐

Innomatics research labs is the best institute for data science and data analyst. I have done research and joined in it, their staff are amazing and very experienced. They helped me a lot to crack a job. Not inly technical skills but also they tech communication and other skills to get job. Now i am working and happy. Thank you innomatics research labs.

Injeti Yedeedya

⭐⭐⭐⭐⭐

New Joining Innomatics Research Labs turned out to be one of the best decisions in my career. As a 2023 CSE graduate from a Tier-3 college, I previously struggled with a lack of proper hands-on guidance. The structured learning environment and practical training here changed everything. I worked on real-world projects involving Data Analysis, Machine Learning, Deep Learning, and Python. The mentors were incredibly supportive, going above and beyond—even helping me prep late at night before my interview! Thanks to the placement team’s guidance, I secured a role as an AI Engineer at Logisoft on my very first attempt. Highly recommended to anyone looking to build a real career in tech!

Bharath Reddy

⭐⭐⭐⭐⭐

I pursued Data Science at Innomatics Research Labs. The faculty and mentors are highly knowledgeable and supportive. They focus not only on theory but also on practical implementation and real-time projects. The structured curriculum and continuous guidance helped me build strong fundamentals. With their support and training, I was able to secure placement in Cognizant. I’m grateful for the mentorship and career guidance provided throughout my journey.

Boda Spandhana

⭐⭐⭐⭐⭐

Successfully completed my data science course from innomatics and secured a job with the help of the innomatics placement team . The data science course from innomatics provides us with all the skills which are required in order to secure a job in the industry. The modules here are well curated and designed in way that every can learn them easily. The trainers are very good and help you in every step.

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Frequently Asked Questions (FAQs)

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1. Who is eligible to apply for the Data Science Internship?

This internship is exclusively designed for graduates or final-year students who already possess foundational knowledge in Data Science, Machine Learning, or Artificial Intelligence. A prior understanding of Python, statistics, and analytical concepts is preferred.

2. Is this internship paid or unpaid?

The internship is unpaid, but participants gain real-world exposure, certifications, and placement opportunities at Innomatics Research Labs for top-performing candidates.

3. What is the duration of the internship?

The internship typically runs for 4 to 6 weeks, depending on the project requirements and participant engagement.

4. Will I receive any certification after completion?

Yes. All participants will receive:

  • Participation Certificate

  • Certificate of Completion (upon successful evaluation)

  • Letter of Recommendation for top performers

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Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.
5. What kind of projects or activities will I be working on?

You’ll engage in industry-relevant data analysis, model building, and problem-solving tasks—closely reflecting real-world applications in AI, ML, and analytics-driven business decisions.

6. Can I apply if I have already completed my graduation?

Absolutely. Graduates or professionals who have completed a Data Science, AI, or ML course are strongly encouraged to apply.

7. Are there placement opportunities after the internship?

Yes. Top-performing interns will be considered for placement and collaboration opportunities at Innomatics Research Labs, based on their performance and project outcomes.

8. How can I apply for the internship?

Simply fill out the application form on this page with your academic and professional details, upload your resume, and our team will reach out to shortlisted candidates for the next steps.

Registration is opening soon