Nielsen AI/ML Data Scientist I Hiring Freshers 2026
Nielsen AI/ML Data Scientist I Hiring Freshers 2026
Introduction
Nielsen is hiring for the position of AI/ML Data Scientist I in Bengaluru, India. This is a full-time opportunity with a hybrid work model for candidates with 0-3 years of experience.
The role focuses on data science, artificial intelligence, machine learning, data engineering, and production software. Candidates will work on measurement and planning solutions while supporting data pipelines, machine learning models, research, and audience measurement methodologies.
This opportunity can be a good fit for fresh graduates and early-career professionals who want to build careers in data science, machine learning, artificial intelligence, Python, AWS, Spark, and SQL.
Quick Job Snapshot
| Job Detail | Information |
|---|---|
| Company Name | Nielsen |
| Role | AI / ML Data Scientist I |
| Experience | 0-3 Years |
| Job Type | Full-Time |
| Location | Bengaluru, India |
| Work Mode | Hybrid |
| Qualification | Degree in Data Science, Statistics, Engineering, Applied Mathematics, Operations Research, Information Sciences, or another biological/physical science |
| Eligible Batch | 2024, 2025, 2026 |
| Key Skills | Python, Spark, AWS, SQL, Artificial Intelligence, Machine Learning |
| Salary | As per Company Standards |
About the Role
As an AI/ML Data Scientist I at Nielsen, you will work across data science, software development, data engineering, and sampling analytics. The position involves building measurement and planning solutions and helping turn data-driven methodologies into production-ready systems.
You may work with large datasets, explore variables, clean data, apply dimensionality reduction techniques, integrate survey information, and evaluate outputs for accuracy. The role also includes developing and maintaining data pipelines and machine learning models in production environments.
The required technology stack includes Python, Spark, AWS, SQL, artificial intelligence, and machine learning. Knowledge of Git, GitLab, Jira, Confluence, cloud computing, and visualization tools such as Spotfire or Tableau is also relevant.
Candidates looking to strengthen their technical profile can explore highest-paying skills in 2026 while planning their long-term data science career.
Key Responsibilities
- Build measurement and planning solutions for publishers, advertisers, and agencies.
- Identify opportunities to apply AI to new and existing projects.
- Support reproducible data science projects from end to end.
- Deploy and maintain data pipelines and machine learning models in production.
- Work with cross-functional teams to validate and optimize methodologies.
- Communicate research findings and methodologies to different audiences.
- Support research related to cross-platform audience measurement.
- Explore datasets to identify useful variables and patterns.
- Clean and prepare data for analysis.
- Apply appropriate analytical and dimensionality reduction techniques.
- Evaluate outputs to help maintain accuracy and quality.
- Resolve production issues and quality escapes.
- Document new methodologies and code.
Qualification Requirements
- 0-3 years of work experience.
- Degree in Data Science, Statistics, Engineering, Applied Mathematics, Operations Research, Information Sciences, or another biological/physical science.
- Proficiency in Python, Spark, AWS, SQL, Artificial Intelligence, and Machine Learning.
- Knowledge of statistics and machine learning concepts.
- Ability to manipulate, analyze, and interpret large datasets.
- Strong code documentation skills.
- Proficiency with Git and code versioning tools such as GitLab.
- Familiarity with Jira and Confluence.
- Familiarity with cloud computing, with AWS and Google Cloud preferred.
- Knowledge of dashboarding and visualization tools such as Spotfire or Tableau.
- Strong written and verbal communication skills.
Skills to Highlight in Your Resume
- Python
- Machine Learning
- Artificial Intelligence
- Apache Spark
- AWS Cloud
- SQL
- Statistics
- Data Science
- Data Engineering
- Data Analysis
- Git and GitLab
- Jira and Confluence
- Tableau or Spotfire
- Data Pipelines
- Machine Learning Model Deployment
Freshers should highlight academic projects, internships, Kaggle-style projects, machine learning models, data analysis work, or cloud projects that demonstrate practical skills. If you have worked with Python, SQL, AWS, Spark, or machine learning datasets, make these technologies easy to find on your resume.
You can also review these Data Science interview questions for freshers when preparing for the selection process.
Why Consider This Opportunity?
The Nielsen AI/ML Data Scientist I role offers early-career professionals an opportunity to work at the intersection of data science, artificial intelligence, machine learning, software engineering, and data engineering.
The position can provide exposure to production data pipelines, machine learning models, large datasets, cloud technologies, statistical analysis, and research-driven problem solving. Candidates interested in building a career in AI and machine learning may find the combination of technical and analytical responsibilities valuable.
If you are comparing career paths in cloud and data technologies, you can also explore this guide to highest-paying cloud jobs in India.
Understanding compensation is also useful when evaluating job offers. Freshers can refer to this CTC vs in-hand salary guide to understand common salary terms.
How to Apply
- Click the official application button below.
- Open the Nielsen careers application page.
- Review the AI/ML Data Scientist I requirements carefully.
- Prepare an updated resume highlighting Python, SQL, machine learning, Spark, AWS, and data science projects.
- Complete the required details on the recruitment portal.
- Submit your application through the official Nielsen job portal.
Frequently Asked Questions (FAQs)
1. Who can apply for the Nielsen AI/ML Data Scientist I role?
Candidates with 0-3 years of work experience and a relevant degree in areas such as Data Science, Statistics, Engineering, Applied Mathematics, Operations Research, or related sciences can apply.
2. Is this Nielsen job suitable for freshers?
Yes. The company has listed 0-3 years of experience, so the position can be relevant to fresh graduates and early-career professionals who meet the technical requirements.
3. What skills are required for the AI/ML Data Scientist role?
The main technical skills include Python, Spark, AWS, SQL, Artificial Intelligence, and Machine Learning. Statistics, Git, cloud computing, and data visualization knowledge are also relevant.
4. What is the work mode for this Nielsen position?
The job is based in Bengaluru and employees work in a hybrid mode.
5. What is the salary for the Nielsen AI/ML Data Scientist I role?
The supplied job description does not provide a specific salary. Therefore, the salary is listed as As per Company Standards.
Conclusion
The Nielsen AI/ML Data Scientist I position in Bengaluru is a strong early-career opportunity for candidates interested in artificial intelligence, machine learning, data science, and cloud-based data solutions. With 0-3 years of experience required, eligible freshers and professionals can prepare a focused resume and apply through the official Nielsen job portal.
