DATA SCIENTIST

Vrinda International; New Delhi; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Vrinda International seeks a Data Scientist for its IT Services division in New Delhi. You will transform complex data into actionable business insights using advanced statistical analysis and ML applications.

Build robust predictive models and ensure data infrastructure supports high‑level operational efficiency and innovation. The ideal candidate has 3–6 years of experience in data science, strong Python skills, and expertise in ML, statistics, and data visualization.

Qualifications

• 3 to 6 years of professional experience in data science or related analytical field.
• Proficiency in Python and strong foundations in statistics and probability.
• Expertise in machine learning techniques and statistical modeling.
• Experience with data preprocessing, EDA, and creating insightful visualizations.

Responsibilities

• Design and implement advanced statistical models and ML algorithms.
• Perform data preprocessing and exploratory data analysis to uncover patterns.
• Create intuitive visualizations to communicate findings to stakeholders.
• Monitor and optimize model performance in production environments.
• Build scalable data pipelines and analytical tools using Python.

Skills

Statistics

Probability

Machine learning

EDA

Data visualization

Analytical thinking

Tools

Python

Pandas

NumPy

scikit-learn

Job description

New Delhi–NCR, India | Posted on 10/16/2026

Welcome to Vrinda International's Talent Portal

Discover your next career milestone with Vrinda International, a leading recruitment firm specializing in IT talent acquisition, international education consultancy, and language coaching opportunities. Our portal streamlines your job search with cutting-edge Applicant Tracking System (ATS) technology.

Why Choose Us?

• Advanced Matching: Our AI-driven tools match your skills to top IT, business development, and overseas study consultancy positions.
  
• Exclusive Opportunities: Access hidden job markets, visa guidance for international roles, and personalized career coaching.
  

Join thousands of professionals who've advanced their careers through Vrinda International. Create your profile today and let's connect your talent to global opportunities!

Job Description

Summary

We are seeking a skilled Data Scientist to join our IT Services division, where you will play a pivotal role in transforming complex data into actionable business insights. This position is central to driving strategic decision‑making through advanced statistical analysis and machine learning applications. The ideal candidate will leverage their expertise to build robust predictive models, ensuring our data infrastructure supports high‑level operational efficiency and innovation.

Responsibilities

• Design and implement advanced statistical models and machine learning algorithms to solve complex business challenges.
  
• Perform comprehensive data preprocessing and exploratory data analysis (EDA) to uncover hidden patterns and trends.
  
• Develop intuitive and impactful data visualizations to communicate findings effectively to stakeholders.
  
• Continuously monitor and optimize model performance to ensure accuracy and reliability in production environments.
  
• Apply strong problem-solving and analytical thinking skills to interpret data and propose strategic solutions.
  
• Utilize Python programming to build scalable data pipelines and analytical tools.
  

Requirements

• Possess 3 to 6 years of professional experience in data science or a related analytical field.
  
• Demonstrate proficiency in Python programming and a solid understanding of statistics and probability.
  
• Show proven expertise in machine learning techniques and statistical modeling.
  
• Have a strong track record in data preprocessing, exploratory data analysis, and creating data visualizations.
  
• Exhibit exceptional problem-solving abilities and a keen analytical mindset.
  
• Be capable of optimizing model performance to meet specific business objectives.