Data Science - Internship

About the internship:-Collect, clean, and analyze data to identify patterns and insights.

-Write Python scripts and SQL queries for data processing and analysis.

-Assist in building, testing, and evaluating machine learning models.

-Explore Generative AI and large language models (LLMs) for relevant use cases.

-Support experiments involving prompt engineering, retrieval-augmented generation (RAG), and model evaluation.

-Document findings, experiments, and results clearly.

-Collaborate with engineers to understand requirements and solve practical problems.Who can apply:Only those candidates can apply who:are available for full time (in-office) internshipcan start the internship between 11th Oct'26 and 15th Nov'26are available for duration of 6 monthshave relevant skills and interestsStipend:INR₹ 15,000 - 20,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Informal dress code, 5 days a week, Free snacks & beveragesSkills required:Python, SQL, Data Analytics and Data CleaningOther Requirements:Skills Required-Python and SQL-Pandas and NumPy-Basic statistics and machine learning concepts-Data cleaning and exploratory data analysis-Clear communication and problem-solving skillsGood to Have-Familiarity with scikit-learn, TensorFlow, or PyTorch.-Basic knowledge of LLMs, prompt engineering, or RAG.-Experience using Git and GitHub.-Projects involving data analysis, machine learning, or Generative AI.About Company:Talview is at the forefront of AI-driven proctoring solutions, offering state-of-the-art technology designed to revolutionize the way educational institutions, certification bodies, and IT companies conduct assessments and certifications. Our commitment to integrity, reliability, and innovation has made us a trusted partner for organizations looking to enhance the credibility and security of their online examination processes.

Responsibilities

-Collect, clean, and analyze data to identify patterns and insights.

-Write Python scripts and SQL queries for data processing and analysis.

-Assist in building, testing, and evaluating machine learning models.

-Explore Generative AI and large language models (LLMs) for relevant use cases.

-Support experiments involving prompt engineering, retrieval-augmented generation (RAG), and model evaluation.

-Document findings, experiments, and results clearly.

-Collaborate with engineers to understand requirements and solve practical problems.