Data Science Intern at Mico
Bangalore
Competitive
ASAP
8
Eligible Batches
Job Description
Roles & Responsibilities
Requirements
Eligibility Criteria
B.Tech/B.E./B.Sc. (2024‑2026) Batch
Tech Stack & Ecosystem
Ready to Level Up?
Don't miss out on this opportunity. Click below to start your application on the official company careers portal.
JobGrid uses AI to enhance job descriptions and provide career insights. Always verify details on the official company careers page before applying.
Similar Opportunities
Jobs you might also be interested in

Process Associate at Thomson Reuters
New
Customer Care Representative – Associate at FedEx
New
Apprentice at American Express
NewQuick Actions
Quick Info
Tech Stack
Cold Email Generator
Stand out! Generate a personalized email to send to recruiters.
Share This Job
Stay Safe
Never pay for job applications. Report suspicious listings immediately.
Career Advice
Company Insights
Mico has rapidly emerged as a data‑driven innovator in the tech ecosystem of Bangalore, blending cutting‑edge analytics with product development to create market‑leading solutions. As a Data Science Intern, you will be immersed in cross‑functional teams that leverage real‑time data to shape strategic decisions, offering you a rare glimpse into how advanced analytics fuels business growth. This exposure not only accelerates your technical acumen but also sharpens your understanding of product impact, positioning you for a seamless transition into full‑time data roles. Beyond the technical playground, Mico fosters a culture of mentorship and continuous learning, pairing interns with seasoned data scientists who guide you through end‑to‑end project lifecycles. The collaborative environment encourages you to experiment, ask questions, and contribute ideas, ensuring that every intern leaves with a portfolio of tangible outcomes and a network of professionals that can propel your career forward.
Interview Guide
Prepare for the interview by mastering the end‑to‑end data workflow: start with data ingestion (SQL, CSV), move through cleaning (handling missing values, outliers), perform exploratory analysis (visualizations, summary statistics), and finish with model building (choosing appropriate algorithms, evaluating with cross‑validation). Practice explaining each step clearly, as interviewers often ask you to walk through a past project or a hypothetical scenario, focusing on the rationale behind your methodological choices. In addition to technical depth, Mico values communication and business impact. Expect case‑study questions where you must translate data insights into actionable recommendations for a non‑technical audience. Sharpen your storytelling skills by summarizing findings in concise bullet points and creating visual aids (e.g., plots, dashboards) that highlight key metrics. Demonstrating both analytical rigor and the ability to convey value will set you apart from other candidates.