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Citi

ML Data Scientist

Location
Gurugram
Work mode
Remote
Experience
2–4 yrs exp
Pay
₹12–20 LPA (Est.)
Type
Full-time job, AI & ML
Added
13 November 2026
Apply by
15 November 2026

About this role

This Specialized Analytics role at Citicorp Services India sits in the Decision Management job family and focuses on building data-driven models that support business decisions. Day to day, the analyst works with large, complex data sets in Python, PySpark, SQL and R to build, validate, implement and govern models across multiple portfolios. The work can specialise in marketing, risk, digital or anti-money-laundering areas and uses both traditional techniques such as linear and logistic regression and segmentation, as well as machine learning methods. The analyst works with model governance and fair lending teams to keep models compliant with Citi standards. The posting lists the location as One Qube, India, and marks it as a telecommute role. It suits candidates who already have data analytics experience: 4+ years with a bachelor's, 2+ years with a master's, or a PhD.

Citi is hiring for ML Data Scientist, a full-time role based in Gurugram (remote).

Who can apply: 2–4 yrs exp. Skills: Python, PySpark, SQL, R, Machine Learning, Statistical Modeling.

Hirastra checked that this opening is live. Apply directly through the official posting; applying is always free.

What you'll do

  • Work with large, complex data sets using Python, PySpark, SQL and R to build modeling solutions
  • Handle model building, validation, implementation and governance across multiple portfolios
  • Build traditional (linear, logistic, segmentation) and machine learning models with team members and business partners
  • Work with model governance and fair lending teams to keep models compliant with Citi standards
  • Identify data inconsistencies, define business issues and recommend policies or procedures

What you need

  • Bachelor's degree with 4+ years in data analytics, or master's with 2+ years, or a PhD
  • Experience in machine learning and data science
  • Ability to retrieve and manipulate data, with strong analytical and problem-solving skills
  • Working experience in a quantitative field
  • Excellent communication and interpersonal skills and ability to work with cross-functional teams

Skills

  • Python
  • PySpark
  • SQL
  • R
  • Machine Learning
  • Statistical Modeling

"Est." = Hirastra's estimate based on market data, not an official figure.

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