Decision Scientist — Mu Sigma

About this Data Scientist role at Mu Sigma

Mu Sigma is hiring Decision Scientists in Bengaluru — a role perfect for freshers and early-career professionals entering India's AI and analytics space. As a leading decision science and analytics company, Mu Sigma helps Fortune 500 clients solve complex business problems using data and machine learning. This is a direct entry point into core AI and data science work at a recognized MNC.

What you'll do

• Write and optimize SQL queries to extract, transform, and prepare data for analysis
• Build and train machine learning models in Python to solve business decision problems
• Apply statistical thinking and hypothesis testing to validate insights and recommendations
• Collaborate with business stakeholders to translate complex analytical findings into actionable decisions
• Develop data pipelines and automate routine analysis workflows

Who should apply

You'll need a B.Tech, M.Sc, or MBA degree from an accredited institute. Freshers are welcome — Mu Sigma actively hires graduates with no prior experience. You should have foundational knowledge of SQL, Python, and statistical thinking. If you're comfortable with spreadsheets and have studied basic statistics or programming, you're a strong candidate for this junior data scientist role.

Salary & offer in context

Freshers at Mu Sigma earn ₹6–12 LPA (₹50,000–₹1,00,000/month); experienced hires earn ₹12–25 LPA. For a fresher Data Scientist role in India's private sector, this is a competitive entry-level salary that reflects the MNC standard. You'll find similar ranges at other Bengaluru analytics firms, with upside tied to performance and promotion.

Path to apply

Apply directly through the Mu Sigma careers portal at careers.mu-sigma.com — no exam required, though the process includes a written assessment and interview. The application deadline is 9 June 2026, so move quickly if you're interested. Mu Sigma hires regularly across its Bengaluru and Chennai offices, so this is a live, rolling opportunity for freshers.