Nielsen Off Campus Hiring | AI / ML Data Scientist I Role

Trackutech; India; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Nielsen in Bengaluru, India is hiring for an AI/ML Data Scientist I on a full-time, hybrid basis. The role emphasizes building data science solutions and deploying ML models in production environments.

Ideal candidates have 0–3 years of experience in data science or related fields and strong skills in Python, Spark, AWS, SQL, and data visualization tools. Strong communication and problem-solving abilities are valued in a fast-paced setting.

Qualifications

• 0–3 years of experience in AI/ML or data science
• Strong data analysis and problem-solving skills
• Ability to work with large datasets

Responsibilities

• Build data science and measurement solutions
• Identify and implement AI opportunities
• Develop and maintain data pipelines and machine learning models
• Work with large datasets and perform data cleaning and analysis
• Support machine learning and statistical research
• Deploy and optimize models in production environments
• Collaborate with cross-functional teams
• Document methodologies, code and research findings
• Troubleshoot and resolve production issues

Skills

Python

Spark

AWS

SQL

AI/ML

Statistics

Git/GitLab

JIRA/Confluence

Tableau/Spotfire

Education

Data Science / Statistics / Engineering / Applied Mathematics / Operations Research / Information Sciences

Tools

Tableau/Spotfire

Job description

Nielsen Off Campus Hiring: Nielsen is hiring for the position of AI/ML Data Scientist I in Bengaluru, India. The role is full-time and follows a hybrid work model.

• Position: AI/ML Data Scientist I
• Work Type: Full-time
• Experience: 0–3 Years
• Work Model: Hybrid

Candidates should have a degree in Data Science, Statistics, Engineering, Applied Mathematics, Operations Research, Information Sciences, or another relevant science discipline.

Required Skills

• Python
• Spark
• AWS
• SQL
• Artificial Intelligence & Machine Learning
• Statistics and data analysis
• Git/GitLab
• JIRA and Confluence
• Data visualization tools such as Tableau or Spotfire

Key Responsibilities

• Build data science and measurement solutions
• Identify and implement AI opportunities
• Develop and maintain data pipelines and machine learning models
• Work with large datasets and perform data cleaning and analysis
• Support machine learning and statistical research
• Deploy and optimize models in production environments
• Collaborate with cross-functional teams
• Document methodologies, code and research findings
• Troubleshoot and resolve production issues

Who Can Apply?

This opportunity is suitable for candidates with 0–3 years of experience who are interested in AI/ML jobs, data science careers, machine learning jobs and software/data engineering roles.

Strong communication, problem-solving skills and the ability to work in a fast-paced environment are also expected.

Disclaimer: Job details are based on the information provided. Candidates should verify the latest eligibility, requirements and application details before applying.