Position:
• Data Scientist (this is more of a Data Analyst role as per the Job Description)
• Entry level role focused on analytical problem solving and applied data science
• Designed for fresh graduates and early career professionals
• Opportunity to work closely with senior data scientists and business stakeholders
• Exposure to real world consumer and retail data at scale
• Role aligned with analytics driven product and insight development
• Emphasis on experimentation, modeling, and insight generation
• Suitable for candidates looking to build a strong foundation in applied data science
Company:
• NielsenIQ
• Global leader in consumer intelligence and market measurement
• Known for large scale data assets and analytics platforms
• Trusted by leading brands and retailers worldwide
• Strong focus on research, innovation, and data driven decision making
• Operates across more than 100 markets globally
• Part of a combined entity with GfK
• Backed by Advent International
Location:
• Tower B, Temenos Business Park
• Vadodara
• Gujarat
• India
• Modern corporate campus environment
• Access to cross functional global teams
• Exposure to international client engagements
Job type:
• Full time
• Permanent role
• Fresher Entry level professional position (0-3 yoe)
• Suitable for immediate joiners and recent graduates
Job mode:
• Onsite
• Office based collaboration
• Client facing and team oriented work environment
Job requisition id:
• Not available on the job portal
Years of experience:
• Freshers encouraged to apply
• Up to 1 year of relevant experience accepted
• Internships and academic projects considered relevant
Company description:
• NielsenIQ is a globally recognized consumer intelligence organization that supports brands and retailers with data driven insights
• The company operates at the intersection of data science, analytics, research methodology, and technology
• NIQ delivers a unified understanding of consumer purchasing behavior across channels and markets
• With the integration of GfK, the organization expanded its global coverage and analytical capabilities
• NIQ serves clients across fast moving consumer goods, retail, technology, and services sectors
• The company manages extremely large and diverse datasets sourced from retail transactions, panels, and digital platforms
• Advanced analytics and scalable platforms are central to how NIQ enables growth strategies for clients
• NIQ operates in over 100 markets, covering the majority of the global population
• The organization invests heavily in innovation, analytics talent, and learning programs
• Employees are encouraged to experiment, learn continuously, and contribute ideas
• NIQ promotes flexible work practices and employee wellbeing
• The company emphasizes ethical data use, privacy, and responsible analytics
• Inclusion and fairness are embedded into hiring and growth practices
• NIQ offers a collaborative environment where early career professionals can learn directly from experts
• The company culture values curiosity, analytical thinking, and business impact
Profile overview:
• This Data Scientist role is designed for individuals at the beginning of their analytics career
• The position focuses on supporting client driven data science solutions and internal initiatives
• The role involves working with structured and unstructured datasets across consumer and retail domains
• The associate will assist in designing analytical approaches for business problems
• Exposure to client interactions helps build strong business understanding
• Collaboration with senior leaders enables learning of real world decision making
• The role includes participation in solution ideation and prototype development
• Data exploration using programming tools forms a core responsibility
• The associate will help automate analytical workflows and improve efficiency
• Understanding NIQ products and methodologies is a key learning outcome
• The role encourages innovation through experimentation and proof of concept work
• Team collaboration across data science units is an integral part of daily work
• The associate will gradually take ownership of analytical components
• The role balances technical skill development with communication and presentation exposure
• This position offers a strong foundation for long term growth in analytics and data science
What you will do:
• Support data science solutions for client and internal requests
• Assist in diagnosing complex business questions using data
• Provide initial analytical recommendations under guidance
• Help explain data science methodologies to internal and external stakeholders
• Participate in client meetings alongside senior team members
• Translate business requirements into analytical tasks
• Explore diverse datasets to identify patterns and insights
• Build proof of concepts and experimental use cases
• Develop prototypes using Python or R
• Support the creation of scalable analytical solutions
• Learn and apply NIQ data products and frameworks
• Suggest analytical approaches aligned with client challenges
• Collaborate with multiple data science teams across functions
• Contribute to automation of existing analytical processes
• Improve efficiency and consistency of data workflows
• Participate in innovation initiatives and pilot projects
• Apply modern analytical techniques on large datasets
• Document findings and support knowledge sharing
Qualifications:
• Academic background in mathematics, statistics, data science, or related quantitative fields
• Exposure to statistical analysis of large datasets through coursework or projects
• Understanding of fundamental statistical concepts
• Familiarity with data analysis techniques
• Comfort working with numbers and data driven reasoning
• Basic programming exposure in Python or R
• Awareness of database concepts and data storage systems
• Ability to learn new analytical tools and platforms
• Interest in consumer analytics and market research
• Willingness to work with diverse datasets
• Ability to follow structured analytical methodologies
• Academic projects or internships in analytics considered valuable
• Strong foundation in logical reasoning
• Readiness to work in a fast paced environment
Soft skills:
• Strong interest in innovation and analytical thinking
• Curiosity to explore data and uncover insights
• Persistence in problem solving
• Ability to explain complex ideas in simple terms
• Clear written and verbal communication skills
• Comfort interacting with technical and non technical stakeholders
• Collaborative mindset for team based work
• Willingness to accept feedback and improve continuously
• Adaptability to evolving tools and methodologies
• Professional communication in English
• Openness to learning from senior colleagues
• Strong interpersonal skills for cross team interaction
Analytical and technical skills:
• Understanding of core statistical concepts
• Ability to analyze datasets and interpret results
• Logical and structured thinking approach
• Familiarity with Python or R for data analysis
• Exposure to data manipulation and cleaning techniques
• Basic understanding of databases and data queries
• Ability to support analytical modeling tasks
• Interest in machine learning fundamentals
• Exposure to experimental design concepts
• Willingness to deepen technical expertise over time
Optional qualification:
• Exposure to data visualization tools such as Tableau or Power BI
• Familiarity with mapping or geospatial tools
• Experience using collaboration platforms for documentation
• Awareness of version control tools
• Basic understanding of machine learning methods
• Interest in marketing analytics and consumer behavior
• Exposure to experimentation and A B testing concepts
• Academic or internship experience in applied analytics
Additional info:
• Flexible working environment supporting work life balance
• Volunteer time off opportunities
• Access to LinkedIn Learning and internal training
• Employee assistance support programs
• Emphasis on continuous learning and skill development
• Inclusive workplace culture
• Equal opportunity employment practices
• Respect for diversity across backgrounds and perspectives
• Ethical and responsible data usage standards
• Opportunities to work on global projects
• Exposure to international clients and teams
• Supportive onboarding and mentoring environment
Please click here to apply.
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