NIQ is hiring for a fresher entry level Data Scientist role in India

Position:

• Data Scientist, Executive

Company:

• NIQ for Retail

Location:

• Vadodara, Gujarat, India

Job type:

• Full-time

Job mode:

• Onsite

Job requisition id:

• Not specified

Years of experience:

• 0 to 1 years (preferred, but can be upto 3 years)

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Company description

• NIQ is one of the most established names in consumer intelligence.

• The company is dedicated to delivering complete insights into consumer behavior across retail and other fast-changing industries.

• Backed by robust data and advanced technology, NIQ brings a holistic view to help companies understand their customers and make smarter decisions.

• Operating globally with over 10,000 employees and a presence in more than 100 countries, NIQ sets the standard for retail performance measurement.

• Their products and services help clients gain competitive advantages in their industries with deep analytics and actionable recommendations.

• Following its merger with GfK, NIQ has created one of the most comprehensive datasets across the globe.

• The company is driven by innovation, deep expertise, and commitment to diversity and inclusion.

• NIQ supports its people with growth opportunities, flexible working options, and continuous learning programs to maintain leadership in the industry.

• NIQ empowers brands to stay ahead with trusted consumer intelligence across every channel and every region.

• At its core, NIQ aims to help customers grow sustainably by leveraging unique data-driven solutions.

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Profile overview

• Join the NIQ Data Science unit as a Data Scientist focused on designing and enhancing retail measurement products.

• Work closely with a team responsible for sample design, universe estimation, and data-driven retail index projects.

• Play a hands-on role in ensuring data quality, innovating processes, and solving complex problems with statistical rigor.

• Be a key collaborator across global teams, where communication and teamwork contribute to delivering better insights.

• Develop presentations of findings and deliver actionable recommendations to internal and external stakeholders.

• Utilize tools like Python and R to conduct advanced analyses of large data sets and drive innovation in retail research.

• Drive improvement by identifying process inefficiencies and suggesting practical solutions.

• Support ongoing projects and take part in training sessions to stay up to date with new tools and methodologies.

• This role is perfect for a recent postgraduate with sharp analytical skills and a proactive attitude who enjoys working in a diverse environment.

• Embrace the opportunity to shape the future of retail analytics with one of the most trusted companies in the industry.

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Qualifications

• Master’s degree in Statistics, Mathematics, Economics, Operations Research, or related quantitative fields.

• Proficiency in Microsoft Office and strong familiarity with Excel for data management and reporting.

• Competency in at least one programming language, preferably Python or R, for data manipulation and statistical analysis.

• Demonstrated organizational skills to manage time efficiently, meet deadlines, and balance priorities across multiple projects.

• Ability to communicate clearly and collaborate with teams globally in a multi-country virtual setup.

• Solid analytical mindset with strengths in problem-solving and data-driven decision-making.

• Strong attention to detail and interest in continuous skill enhancement, especially in new technologies.

• Excellent command of English for writing reports and presenting analyses.

• Entry level; up to 1 year of work experience is desirable but not mandatory.

• Exposure to FMCG, retail, or market research is an added advantage but not a strict requirement.

• Familiarity with statistical inference and survey-based research will help you add value to this role.

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Additional info

• Flexible working setup that promotes a healthy balance between personal and professional priorities.

• Supportive team culture encouraging learning and growth through regular interactions and knowledge sharing.

• Access to specialized training through resources like LinkedIn Learning to enhance expertise.

• Volunteer time off programs to give back to the community and contribute to causes that matter to you.

• Employee-Assistance-Program designed to support well-being and address personal and professional challenges.

• Strong focus on diversity and inclusion, creating a welcoming environment where everyone feels they belong.

• Opportunity to grow in a company that is invested in innovation and staying at the forefront of retail analytics.

• Active commitment to creating a fair, safe, and empowering workspace for all employees.

• Collaboration with global teams gives exposure to different working styles and broadens professional perspectives.

• Potential career advancement through upskilling and taking part in challenging, impactful projects.

Please click here to apply.