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Target (in India) Data Scientist / ML Engineer Job, Bengaluru 2026 — Early-Career

Target in India — the Bengaluru technology and data center of the global retailer — hires early-career Data Scientists / ML Engineers, working on forecasting, personalisation, recommendations and supply-chain ML with Python and modern ML. Skills, eligibility and how to apply inside.

Cloud Soft Solutions — India's No.1 cloud placement institute in Hyderabad with 5,500+ placements (AWS, Azure, DevOps, GCP)
Last updated · 3 min read · 567 words

Target in India — the Bengaluru technology and data center of the global retailer — hires early-career Data Scientists / ML Engineers, working on forecasting, personalisation, recommendations and supply-chain ML with Python and modern machine learning.

Disclaimer: This is a third-party opening shared for informational purposes. Cloud Soft Solutions is not the hiring employer; verify all details (eligibility, compensation, requisition IDs) on the official portal before applying.

Role Overview

Location: Bengaluru · Hybrid
Type: Data Scientist / ML Engineer (early-career)
Experience: Early-career / freshers (2024/2025/2026 batch)
Package: ML/DS fresher CTC ~₹9–16 LPA (estimate; confirm on the official listing)

Key Highlights

  • Applied ML in retail: forecasting, personalisation, recommendations
  • Python, ML, statistics and large-scale data
  • Bengaluru; large global retail tech & data center
  • Strong engineering & data-science culture

Eligibility & Skills

  • B.E/B.Tech/M.Sc/MCA (2024/2025/2026 batch)
  • Strong Python, ML and statistics fundamentals
  • SQL, data-wrangling and DSA; DL/LLM exposure a plus
  • A Kaggle/GitHub portfolio of ML projects

How to Apply

Check current openings and apply on the official Target in India Careers page (also on LinkedIn) and search Data Scientist / ML Engineer early-career roles in Bengaluru. Confirm eligibility on the live listing.

Pro tips: for ML roles, ship 2–4 end-to-end projects (data → model → evaluation → deployment) on GitHub/Kaggle, master the fundamentals (Python, statistics, classic ML + one DL framework), and be ready to explain your modeling choices, metrics and trade-offs in interviews.

How to Prepare for This Role

Build Python, ML, statistics and DSA with a portfolio; prepare with our Machine Learning interview questions and Data Science interview questions.

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Frequently Asked Questions

Who can apply for the Target Data Scientist / ML Engineer role in Bengaluru?

B.E/B.Tech/M.Sc/MCA freshers/early-career candidates (2024–2026 batch) with strong Python, ML and statistics fundamentals, SQL, data-wrangling and DSA, ideally with DL/LLM exposure and a Kaggle/GitHub portfolio.

How do I apply to Target in India for ML roles?

Check current openings on the official Target in India careers page (india.target.com/careers) and its LinkedIn listings, and search Data Scientist / ML Engineer early-career roles in Bengaluru.

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