Amazon Web Services is hiring a Customer Analytics Data Science Intern in Lucknow — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to customer analytics rather than a certificate-only programme. About the role As a Customer Analytics Data Science Intern at Amazon Web Services, your core focus will be understanding who churns, who is worth keeping, and what would keep them. You are attached to a named mentor, join the team's stand-ups and reviews, and are trusted with work that matters rather than filler tasks. Questions are encouraged, your output is reviewed properly, and you get the feedback you need to actually improve. What you'll do day to day • Work on understanding who churns, who is worth keeping, and what would keep them alongside the core team • Use Python, Churn & Retention Modelling, Customer Lifetime Value, SQL, Segmentation (RFM) on live, production-facing problems • Turn your work into clear documentation, notes or decks for reviewers • Take part in reviews and act on the feedback you receive • Collaborate across functions — engineering, product, design or business as the work demands • Follow the team's quality, testing and documentation standards • Track and report your own progress against an agreed plan Skills you'll build You will build practical, demonstrable experience in Python, Churn & Retention Modelling, Customer Lifetime Value, SQL, Segmentation (RFM), Survival Analysis, Scikit-Learn, Cohort Analysis, Data Visualisation, Business Communication — the exact toolkit that separates a hireable fresher from a CV full of coursework. No prior work experience is required. Curiosity, problem-solving ability and a willingness to learn matter far more here than a polished résumé, and every one of these skills is taught on the job. Who should apply Students in their final year or recent graduates from B.E./B.Tech, MBA, B.Sc/M.Sc (Statistics / Economics) or MCA based in or willing to work from Lucknow. You should be willing to learn Python, Churn & Retention Modelling, Customer Lifetime Value and able to communicate clearly in writing. Personal projects, coursework, certifications or open-source contributions strengthen your application, but none of them are mandatory. Internship details This is a 3-month internship in Lucknow, Uttar Pradesh, with a stipend of ₹24,000 per month. You will be given a defined project so that you leave with a churn or CLV model a retention team acted on. Working hours follow the team's normal business hours and the internship includes a certificate on successful completion. Expect to leave with real project experience, exposure to professional tooling and process, and mentorship that helps you plan a concrete next step in your career. Outstanding interns can convert to a full-time offer at the end of the internship. Eligibility criteria • Education: B.E./B.Tech, MBA, B.Sc/M.Sc (Statistics / Economics) or MCA • Graduating batch: 2026, 2027 or 2028 — final-year students and recent graduates are both eligible • Academics: 60% / 6.0 CGPA and above preferred; consistent academics help, but a strong project or portfolio is weighed alongside marks • Technical skills: Python, Churn & Retention Modelling, Customer Lifetime Value, SQL, Segmentation (RFM) • Also useful: Survival Analysis, Scikit-Learn, Cohort Analysis, Data Visualisation, Business Communication • Soft skills: clear written and spoken English, ownership of your work, comfort asking questions, and the discipline to check your own work before you ship it • Experience: none required — this is a fresher internship. Academic projects, certifications, GitHub work or a previous internship strengthen an application but are not mandatory • Location: based in Lucknow, Uttar Pradesh or willing to work from there for the internship period Additional information • Joining date: immediate / rolling — selected candidates usually start within 2-4 weeks of accepting the offer, and start dates can be adjusted around end-semester exams • Working hours: Monday to Friday, standard business hours with 2-3 days a week in the office • Duration: 3 months, with a certificate issued on successful completion • Documents at joining: college ID or degree certificate, a government photo ID, and a No-Objection Certificate from your college where your programme requires one • Equipment: a workstation and tool access are provided at the office; you will need your own laptop and a stable internet connection on work-from-home days • Bond: no bond and no service agreement is attached to this internship • Fees: Amazon Web Services and MyInternships.in never charge a candidate any fee at any stage of the application, selection or onboarding process. Report anyone who asks you for money in the name of this internship How to apply Click Apply Now. If you are not logged in you will be asked to sign in and register first, after which you will be taken to Amazon Web Services's official careers page to complete your application. Applications are reviewed on a rolling basis and seats are limited, so apply early. Responsibilities: Work on understanding who churns, who is worth keeping, and what would keep them alongside the core team; Apply Python, Churn & Retention Modelling, Customer Lifetime Value, SQL to live, production-facing problems; Document your work clearly for reviewers and stakeholders; Participate in reviews and act on the feedback you receive; Collaborate across engineering, product, design or business as required; Follow the team's quality, testing and documentation standards. Requirements: Pursuing or recently completed B.E./B.Tech, MBA, B.Sc/M.Sc (Statistics / Economics) or MCA; Graduating batch 2026, 2027 or 2028 — final-year students and recent graduates welcome; 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics; Working knowledge of Python, Churn & Retention Modelling, Customer Lifetime Value (or a genuine willingness to learn them); Exposure to SQL, Segmentation (RFM), Survival Analysis is an advantage; Clear written and verbal communication in English, and care with detail in your work; No prior work experience required — this is a fresher-friendly internship; Based in Lucknow, Uttar Pradesh or willing to work from there for the internship period.