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Senior Specialist — Data Analytics (Contract)
T1
Reserve Bank of India

Senior Specialist — Data Analytics (Contract)

RBI invites applications for Senior Specialists in Data Analytics on contract — Department of Statistics & Information Management, Mumbai. ₹1,50,000-₹2,00,000/month. 3-year contract. Eligibility: M.Stat / M.Sc Statistics / M.Tech Data Science with 5+ years of analytics or model d
government-central
Data Scientist
senior
on-site

Quick take: RBI Senior Specialist — Data Analytics (contract, 3 years, ₹1.5–2L/month, Mumbai). M.Stat/M.Sc Stats/M.Tech DS + 5y+ experience. Core ML + anomaly detection for banking data. Direct apply via RBI portal—no exam. Interview-based.

About this Data Scientist role at Reserve Bank of India

The Reserve Bank of India—India's central banking authority—is hiring Senior Specialists in Data Analytics on a 3-year contract at their Mumbai headquarters. This is a direct-application government role perfect for experienced data scientists who want to shape monetary policy and financial stability through analytics, without competing in an exam-based process.

You'll work in the Department of Statistics & Information Management, applying machine learning and statistical expertise to banking data, macroeconomic indicators, and regulatory analysis. This is senior-level work: if you have 5+ years in analytics or ML model development, this role recognizes your depth.

What you'll do

  • Build and maintain statistical models and anomaly detection systems on banking transactions and macroeconomic data using Python, R, and SQL.
  • Conduct regulatory data analysis to identify patterns, risks, and outliers in financial systems under RBI oversight.
  • Develop machine learning pipelines for time-series forecasting, classification, and anomaly detection in financial datasets.
  • Translate complex statistical findings into actionable insights for policy and risk management teams.
  • Collaborate with stakeholders to define analytical requirements and validate model outputs against real-world banking behavior.

Who should apply

You need an M.Stat, M.Sc in Statistics, or M.Tech in Data Science—plus 5+ years of hands-on analytics or model development experience. This is a senior-level role; freshers and early-career professionals should build expertise first. You must be comfortable with SQL, Python, R, advanced statistics, and ideally have some exposure to financial or regulatory data. Familiarity with machine learning for anomaly detection is essential.

Salary & offer in context

This contract role offers ₹1,50,000–₹2,00,000 per month, placing it squarely in the senior Data Scientist salary range in India for government-backed positions. For comparison, senior Data Scientist salaries in the private sector typically range ₹1,80,000–₹3,50,000/month; RBI's structured government benefits often offset the lower base, and this role comes with the prestige of working on India's monetary policy infrastructure.

Path to apply

Direct application—no IBPS or RBI exam required. Submit your resume and credentials through the RBI online portal at rbi.org.in/Scripts/BS_RecruitmentDetail.aspx. Shortlisting and interviews follow. The application deadline is June 12, 2026, so move quickly if this aligns with your career goals.

One Glance

Sector
Government-central
விண்ணப்பிக்கும் முறை
Online-portal
Role
Data Scientist
Experience
Senior
Salary
₹1.5L–₹2L/mo
Location
Mumbai
வேலை ஏற்பாடு
On-site
Deadline
12 Jun 2026
கடைசியாக சரிபார்க்கப்பட்டது
2026-06-12T00:00:00.000Z

Data Scientist வேலைகளுக்கு தகுதி பெற free courses

இந்த வேலைக்குத் தேவையான course ladder — AIshala மூலம் சரிபார்க்கப்பட்ட free courses. மொத்தமாக 4 வாரங்கள்.

Step 1
Free AI Basics
Teaches ML fundamentals and anomaly detection concepts required for RBI's financial anomaly detection work.
Step 2
Practice + Portfolio
Builds practical ML model development skills in Python—core to building statistical and predictive models on banking data.
Step 3
Confident-ஆ விண்ணப்பிக்கவும்
Master data manipulation and exploratory analysis in Python with Pandas—essential for wrangling regulatory and macroeconomic datasets.

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