Fleet Routing UI & Machine Interface Analytics Intern

About this internship

QikPod (LeapMile) is hiring a Fleet Routing UI & Machine Interface Analytics Intern for its Bengaluru team — a hands-on Data Science & Analytics internship for 2026 freshers and final-year students (0 years of experience). You will work on fleet routing ui & machine interface analytics, building data pipelines, dashboards and machine-learning models with Python, SQL, Statistics alongside experienced data scientists and analysts. This is a 6-month in-office at Bengaluru programme. Applications are reviewed on a rolling basis through QikPod (LeapMile)'s official careers portal — apply early as seats are limited.

Skills you'll use

What you'll do

• Collect, clean and analyse large datasets for fleet routing ui & machine interface analytics
• Build models, dashboards and reports using Python, SQL, Statistics, Machine Learning
• Translate data insights into clear recommendations for stakeholders
• Collaborate with data scientists, engineers and product teams on live projects

Who can apply

• Pursuing or recently completed B.E./B.Tech/M.Tech/MCA/M.Sc (CS, IT, Statistics, Maths, Data Science) or equivalent
• Working knowledge of Python, SQL, Statistics
• Solid grasp of statistics, data structures and problem solving
• Strong analytical thinking and communication skills

Perks & benefits

About QikPod (LeapMile)

QikPod (LeapMile) runs one of Bengaluru's most sought-after Data Science & Analytics internship tracks, mentoring entry-level talent on real production datasets, analytics tooling and AI/ML model development.

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