📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company NielsenIQ 👥 Experience Fresher 🎓 Qualification Bachelor's or Master's Degree in Statistics, Mathematics, Data Science, Economics, Social Sciences, or Related Field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹7–11 LPA* 🏢 Industry Non-Tech 🛠 Key Skills Statistical Analysis Data Visualization Data Interpretation Research Methodology Predictive Modeling Data Scientist at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking a Data Scientist in Gurugram, Haryana, India , where freshers can leverage their analytical skills to impact global market insights. With a salary range of ₹7–11 LPA* , this role is designed for recent graduates. The demand for data-driven decision-making in the non-tech industry is surging, making this Data Scientist role crucial for NielsenIQ 's strategic initiatives. As companies increasingly rely on data to inform their strategies, the insights generated by this position will play a pivotal role in shaping product offerings and marketing campaigns. NielsenIQ , founded in 1923 , has over 44,000 employees globally, specializing in market research and consumer insights. This extensive experience positions NielsenIQ as a leader in the industry, providing a unique opportunity for new talent to contribute to significant projects that influence Fortune 500 companies. We encourage 2024, 2025, 2026 graduates with a Bachelor's or Master's Degree in Statistics, Mathematics, Data Science, Economics, Social Sciences, or Related Field to apply. This role is designed for fresher experience candidates, offering a competitive salary of ₹7–11 LPA* . As a Data Scientist , you will gain hands-on experience with essential skills such as Statistical Analysis , Data Visualization , Data Interpretation , Research Methodology , and Predictive Modeling . This role not only opens doors to advanced statistical tools but also provides a pathway for rapid career advancement within NielsenIQ , known for its commitment to internal promotions. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Data Scientist at NielsenIQ will analyze complex datasets to provide actionable insights that drive business decisions, leveraging advanced statistical methods and data visualization techniques. Analyze large datasets using Python and R to derive actionable insights, applying statistical analysis for data-driven decision-making. Employ data visualization techniques with tools like Tableau to present findings clearly and effectively to stakeholders. Collaborate with cross-functional teams, including marketing and product development, to align data insights with business objectives through data interpretation . Monitor and evaluate the performance of data models, ensuring accuracy and relevance in real-time applications using predictive modeling . Take initiative in developing predictive models that forecast consumer behavior and market trends, enhancing strategic planning. Document analytical processes and results, creating comprehensive reports for internal and external stakeholders, emphasizing research methodology . Engage with clients to understand their data needs and provide tailored analytical solutions, ensuring effective data interpretation . This role fosters an ownership culture, allowing you to directly impact business strategies through data-driven insights and innovative solutions. Required Skills & Technical Competencies The ideal candidate will possess a strong skill profile in statistical analysis, data visualization, and predictive modeling, essential for effective data interpretation and decision-making. Technical Skills Statistical Analysis — entry — Essential for interpreting complex datasets and making data-driven decisions using statistical software. Data Visualization — entry — Crucial for conveying insights effectively, with practical applications in tools like Tableau or Power BI . Data Interpretation — entry — Necessary for translating data findings into actionable business strategies, used daily in report generation. Research Methodology — entry — Foundational for conducting thorough analyses and ensuring the validity of data interpretations. Predictive Modeling — entry — Important for forecasting trends, evaluated through practical assessments during the interview process. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and application of these skills. Eligibility Criteria This role is designed for fresh graduates eager to apply their analytical skills in a professional setting. Candidates must hold a Bachelor's or Master's Degree in Statistics , Mathematics , Data Science , Economics , or related fields. Eligible batches include 2024 , 2025 , and 2026 graduates, ensuring a fresh influx of talent into the company. The role is designed for freshers , with no prior experience required, making it accessible for recent graduates. A minimum academic performance of 60% in relevant courses is preferred to ensure a strong analytical background. Having a portfolio or GitHub showcasing relevant projects or internships can significantly enhance a candidate's application. Documentation & Portfolio Requirements Submit your resume in a clear format, including your educational background, relevant skills, and any projects or internships that demonstrate your analytical capabilities. Pro tip: Highlight any specific projects in your portfolio that utilized Python or R for data analysis, as these are critical for this role. Salary for Data Scientist at NielsenIQ 💰 Compensation ₹7–11 LPA* The advertised compensation for the Data Scientist role at NielsenIQ is ₹7–11 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Scientist Upskilling with the right resources significantly enhances your chances of selection for the Data Scientist role at NielsenIQ . Recommended Courses & Resources MS Office — Essential for data analysis and reporting tasks in this role. Communication Skills — Vital for presenting data insights effectively to stakeholders. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences specific to data science. ❌ Neglecting to include quantifiable achievements — Demonstrate your impact in projects or internships. ❌ Using overly generic language — Reflect the specific requirements of the Data Scientist role. ❌ Not preparing for technical questions — Be ready for questions on statistical methods or data analysis. ❌ Ignoring the importance of soft skills — Communication and teamwork are vital for collaboration. ❌ Submitting applications without proofreading — Check for errors or inconsistencies before submission. Before You Apply — Checklist ✅ Research NielsenIQ 's recent projects and initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a cover letter that articulates your interest in the Data Scientist role and the company. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Practice common interview questions related to data science and statistical analysis. ✅ Ensure your LinkedIn profile is up-to-date and reflects your qualifications. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Data Scientist Optimizing your resume for ATS is crucial for securing the Data Scientist role at NielsenIQ . ATS Keywords to Include Data Scientist Statistical Analysis Data Visualization Predictive Modeling Research Methodology Data Interpretation Python R Tableau Analytics Machine Learning Market Research Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your analytical skills and familiarity with data tools. Emphasize any internships or practical experience in data analysis or research to align with NielsenIQ 's focus. Include a link to your portfolio or GitHub to showcase your coding skills and analytical projects. Optimize your resume for ATS by using keywords from the job description to increase visibility. Avoid including unrelated work experience that does not pertain to data science or analytics. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions that do not highlight your specific data science skills and achievements. How to Apply for Data Scientist at NielsenIQ Apply Now — NielsenIQ Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to highlight relevant skills for the Data Scientist role. Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email and keep an eye on your inbox for further communication. You can track your application status through the portal to stay updated on your progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — NielsenIQ NexisGrow.com does not charge any fees for job applications. NielsenIQ NielsenIQ , founded in 1923 , has evolved into a global leader in market research, with its headquarters located in Chicago. The company operates in over 100 countries , employing more than 46,000 professionals worldwide. This extensive reach allows NielsenIQ to gather and analyze vast amounts of data, providing valuable insights to clients across various sectors. At the core of NielsenIQ 's offerings are its advanced data analytics services, including NielsenIQ Brand Health and NielsenIQ Retail Measurement . These platforms empower brands to optimize their marketing strategies and product offerings based on real-time consumer insights. The company also specializes in predictive analytics , helping clients anticipate market trends and consumer behavior. NielsenIQ fosters a culture of innovation and collaboration, reflected in its Glassdoor rating of 4.0 . The company actively promotes employee engagement through various programs, including mentorship initiatives and professional development workshops. Additionally, NielsenIQ has received accolades for its workplace culture, being recognized as one of the Best Places to Work in multiple regions. Recently, NielsenIQ has expanded its capabilities in AI-driven analytics , enhancing its service offerings to clients. This strategic initiative aims to leverage machine learning technologies to provide deeper insights and more accurate predictions. The company has also secured significant funding to support its growth in emerging markets, further solidifying its position in the industry. For freshers looking to launch their careers in the non-tech sector, NielsenIQ offers a robust foundation in data science. The company provides ample opportunities for mentorship and skill development, ensuring that new hires gain valuable experience in statistical analysis and data visualization. Joining NielsenIQ can pave the way for a successful career in market research and analytics. Company Details Industry Non-Tech Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 jobs.smartrecruiters.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Data Scientist at NielsenIQ? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's Degree in Statistics, Mathematics, Data Science, Economics, Social Sciences, or Related Field and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Statistical Analysis, Data Visualization, Data Interpretation, Research Methodology, Predictive Modeling. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹7–11 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at NielsenIQ? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Statistical Analysis, Data Visualization, Data Interpretation, Research Methodology, Predictive Modeling. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Scientist interview? Preparation Tap to expand + Answer (1) Core concepts of Statistical Analysis, Data Visualization, Data Interpretation, Research Methodology, Predictive Modeling, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) NielsenIQ research, (5) Clear communication. ? What is the work culture like at NielsenIQ? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Non-Tech jobs Latest Fresher jobs More jobs at NielsenIQ Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com