Nielsen Recruitment 2026: Nielsen is scheduled to hire for the role of AI / ML Data Scientist I. Candidates with B.E/B.Tech/BSc qualifications are eligible to apply for this position. Candidates looking for jobs in Bangalore can utilise this opportunity. Interested and eligible candidates can apply online as soon as possible. The detailed eligibility criteria and application process are given below. Interested candidates can apply for IBM Careers.

Nielsen Recruitment 2026 – Details:

Job Role	AI / ML Data Scientist I
Job Category	IT Jobs
Qualification	B.E/B.Tech/B.Sc
Experience	0 – 3 years
Salary/CTC	Best in Industry
Job Location	Bangalore
Last Date	ASAP

Detailed Eligibility:

AI / ML Data Scientist I:

Is this for me?

Degree in data science, statistics, engineering, applied mathematics, operations research, information sciences, or another biological/physical science.
0-3 years work experience
Proficiency in Python, Spark, AWS, SQL, Artificial intelligence and Machine learning
Strength in code documentation
Proficiency in Git and code versioning tools (Gitlab)
Proficiency in Atlassian Suite such as JIRA and Confluence.
Familiarity with cloud computing (AWS, Goolge Cloud preferred)
Knowledge of statistics and machine learning
Ability to manipulate, analyze, and interpret large datasets
Knowledge of dashboarding and visualization tools like Spotfire/Tableau

Business Skills:

Excellent oral and written communication
Self-motivation and an ability to handle multiple competing priorities in a fast-paced environment
Strong interpersonal skills and the ability to develop effective relationships with other team members, including remotely.

What will I do?

Build measurement and planning solutions for publishers, advertisers, and agencies.
Identified the AI opportunities in existing and new projects and implemented them.
Support reproducible data science projects end-to-end
Deploy and maintain data pipelines and models in a production environment
Work with cross-functional teams to productionize, validate, and optimize methodologies
Communicate methodology and research findings to varying audiences
Support research on methodology changes to cross-platform audience measurement. The primary research areas include trend analyses, imputing missing data, representation/ sampling, bias reduction, indirect estimation, data integration, and automation.
Continuous support and development of new projects by exploring the data – Variable Identification, cleaning the data , applying dimension reduction techniques, calculating distances and integrating the surveys. And also using output evaluation techniques in order to make sure of the accuracy.
Address quality escapes and fix issues in production code.
Document new methodologies and code