The Nielsen Company is hiring an AI/ML Data Scientist I for its Data Science team in Bengaluru. The role sits inside Nielsen Media’s measurement business, where data science work directly powers how TV, digital, and audio audiences are tracked and reported to advertisers, publishers, and agencies.
This is a hybrid position open to candidates with 0 to 3 years of experience, which puts it within reach for strong freshers with the right academic background as well as early-career data scientists. The work blends applied machine learning, statistical methodology, and production software engineering rather than pure research, so it suits candidates who want to see their models actually deployed rather than left in a notebook.
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Apply Online — Nielsen AI/ML Data Scientist I
Quick Overview
| Parameter | Details |
|---|---|
| Company | The Nielsen Company |
| Role | AI/ML Data Scientist I |
| Team | Nielsen Data Science |
| Experience Required | 0–3 years |
| Work Location | Bengaluru, India |
| Work Mode | Hybrid |
| Employment Type | Full-Time |
| Salary / CTC | Not disclosed in the official posting |
| Application Mode | Online via SmartRecruiters |
| Official Careers Page | nielsen.com |
Role & Responsibilities
The role covers the full lifecycle of a data science project at Nielsen, from research through to production deployment. Core responsibilities include:
- Building measurement and planning solutions used by publishers, advertisers, and agencies.
- Spotting and implementing AI opportunities within existing and new projects.
- Supporting reproducible data science projects end-to-end.
- Deploying and maintaining data pipelines and models in production.
- Working with cross-functional teams to productionize, validate, and optimize methodologies.
- Communicating methodology and research findings to both technical and non-technical audiences.
- Researching methodology changes for cross-platform audience measurement, covering areas such as trend analysis, imputing missing data, sampling and representation, bias reduction, indirect estimation, and data integration.
- Exploring data through variable identification, data cleaning, dimension reduction, and survey integration, and validating output accuracy.
- Fixing quality issues in production code and documenting new methodologies.
Eligibility Criteria
Educational Qualification
Nielsen is open to candidates with a degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological or physical science background. This is broader than a typical “computer science only” requirement, so candidates from statistics or applied math backgrounds with strong programming skills are genuinely eligible, not just CS graduates.
Who Should Apply?
- Candidates with 0–3 years of experience who are comfortable in Python, SQL, and at least the basics of Spark and AWS.
- Graduates who have worked on machine learning or statistical modeling projects, even at an academic or internship level.
- Candidates who can document their code and communicate technical findings clearly, since the role involves working across teams.
- Those with some exposure to Git-based version control and issue-tracking tools like JIRA.
Who Is This Role Not For?
- Candidates looking for a pure research role with no production or engineering responsibility — this position explicitly includes deploying and maintaining models in production.
- Candidates with more than 3 years of relevant experience, who would likely be considered for a more senior data scientist position instead.
Skills That Matter for This Role
| Skill Area | What to Know |
|---|---|
| Programming | Python and SQL are core; familiarity with Spark for large-scale data processing |
| Cloud Platforms | AWS is preferred, Google Cloud experience is also considered a plus |
| Statistics & ML | Sampling, bias reduction, indirect estimation, and general applied statistics |
| Data Engineering | Building and maintaining data pipelines, dimension reduction techniques |
| Version Control & Workflow | Git/GitLab for code, JIRA and Confluence for project tracking and documentation |
| Visualization | Dashboarding tools such as Spotfire or Tableau |
| Communication | Explaining methodology and findings to varied technical and business audiences |
Salary and Benefits
The official posting does not disclose a salary or CTC figure for this role. Candidates should discuss compensation directly during the interview or offer stage rather than relying on third-party estimates.
Selection Process
The official posting does not describe a specific exam pattern or interview structure. Given the role’s mix of statistics, machine learning, and production engineering, candidates should be prepared to discuss applied ML projects, coding proficiency in Python/SQL, and how they have handled real-world data quality issues in past work or academic projects.
How to Apply
- Visit the official application page on SmartRecruiters.
- Click “I’m interested” to start the application.
- Fill in your personal, educational, and professional details.
- Upload your resume, highlighting any data science, ML, or statistics projects along with the tools listed above.
- Submit your application and retain any confirmation you receive.
A note on hiring scams: Nielsen has stated that its recruiters only make contact through official job boards, LinkedIn, or an @nielsen.com email address, and never through personal accounts or unofficial messaging platforms. Treat any request for payment or personal financial information during recruitment as fraudulent, and verify communication through Nielsen’s official website if anything feels off.
Important Links
| Resource | Link |
|---|---|
| Apply Online | Apply Now → |
| Nielsen Official Website | nielsen.com |
About Nielsen
Nielsen is a global media measurement company that tracks what audiences watch and listen to across TV, digital, and audio platforms. Its data underpins how advertisers, publishers, and agencies plan and evaluate media spend, which makes Nielsen’s Data Science team central to the company’s core product rather than a side function. The team combines statistical methodology with software engineering to keep audience measurement accurate as media consumption shifts across new formats and platforms.
Frequently Asked Questions (FAQs)
Q1. Can freshers with no work experience apply for this role?
The posting lists 0–3 years of experience, so candidates with no formal work experience but relevant academic projects or internships in data science/ML are eligible to apply.
Q2. What is the salary for this role?
Nielsen has not disclosed the salary or CTC in the official posting. Candidates should confirm compensation directly with Nielsen during the hiring process.
Q3. Is a computer science degree mandatory?
No. The posting accepts degrees in data science, statistics, engineering, applied mathematics, operations research, information sciences, or a biological/physical science field, in addition to computer science.
Q4. Is this a fully remote role?
No. The role is based in Bengaluru and follows a hybrid work mode, meaning employees work partly from the office.
Q5. What programming languages are required?
Python and SQL are core requirements, with Spark for large-scale data processing and familiarity with AWS (or Google Cloud) for cloud-based work.
Source & Verification
- Source: Official Nielsen job posting via SmartRecruiters
- Official Careers Page: nielsen.com
- Last Checked: August 14, 2026
FreshersJob4U is not affiliated with The Nielsen Company. This post is for informational purposes only. Candidates should verify all details, including current status of the opening, directly on the official application link before applying.
Engineering graduate and founder of FreshersJob4U. I write detailed job guides, interview prep resources, and career roadmaps for freshers and early-career professionals in India. This site started from my own experience with the scattered, confusing fresher job search — I wanted to build something cleaner.
