📋 Job Details at a Glance 📍 Location Vadodara, Gujarat, India 🏢 Company NielsenIQ 👥 Experience Fresher 🎓 Qualification Master's in Mathematics, Statistics, Operations Research, or related field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹30,000–₹50,000/month* 🏢 Industry Technology 🛠 Key Skills Python SQL Statistics Machine Learning Data Analysis Apprentice – Data Science at NielsenIQ — Full Details & How to Apply NielsenIQ is seeking fresh talent for the Apprentice – Data Science role in Vadodara, Gujarat, India , where you can earn a stipend of ₹30,000–₹50,000/month while gaining hands-on experience in data science. This position is an excellent opportunity for recent graduates to kickstart their careers in a field that is rapidly evolving and in high demand. The demand for data science skills is surging, with companies increasingly relying on data-driven insights to make strategic decisions. This Apprentice – Data Science role at NielsenIQ is pivotal as it directly contributes to business intelligence projects, allowing you to generate actionable insights that influence key business decisions. As organizations prioritize data analytics, this position places you at the forefront of technological advancement. NielsenIQ , founded in 1923 , has a global presence in over 100 countries and employs approximately 44,000 people, making it a leader in market research. The company’s commitment to innovation creates a supportive environment for apprentices, ensuring that you receive the mentorship and resources necessary to thrive in your role. This opportunity is ideal for 2024, 2025, 2026 graduates with a Master's in Mathematics, Statistics, Operations Research, or related field . As a fresher, you will be welcomed into a collaborative team, earning a competitive salary of ₹30,000–₹50,000/month* while developing essential skills in data science. During this apprenticeship, you will gain unique exposure to industry-standard tools like Python , SQL , Statistics , Machine Learning , and Data Analysis . This experience not only enhances your technical skill set but also opens doors to lucrative career opportunities in data science, paving the way for future advancement within the industry. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Apprentice – Data Science at NielsenIQ is tasked with analyzing large datasets to generate actionable insights that drive business strategies and improve decision-making processes. Analyze large datasets using Python to extract insights that inform business strategies and enhance operational efficiency. Utilize SQL for querying databases, ensuring relevant data is extracted for comprehensive analysis and reporting. Collaborate with the Business Intelligence team to support ongoing projects, delivering insights that impact strategic decisions. Monitor and report on key performance metrics, assessing the effectiveness of data-driven initiatives and suggesting improvements. Take ownership of specific data analysis projects, ensuring timely delivery of results that meet stakeholder expectations. Document findings and communicate insights effectively to stakeholders through detailed reports and presentations. Engage in problem-solving sessions with clients, addressing data-related challenges and providing tailored solutions. This role fosters an ownership culture, allowing you to directly impact business outcomes through your analytical contributions and insights. Required Skills & Technical Competencies The ideal candidate for the Apprentice – Data Science role possesses a robust skill set in data analysis, programming, and statistical methods to drive impactful insights. Technical Skills Python — entry — essential for data manipulation and model building, utilizing libraries like Pandas and NumPy for analysis. SQL — entry — critical for database querying and management, with practical applications in data extraction and analysis. Statistics — entry — foundational knowledge required for interpreting data and applying statistical methods to derive insights. Machine Learning — entry — familiarity with algorithms and their applications in predictive modeling and data analysis. Soft Skills & Professional Competencies Communication — ability to convey complex data insights clearly to non-technical stakeholders, enhancing collaboration. Problem-Solving — adept at identifying data-related challenges and proposing effective solutions during client engagements. Time Management — skillful in prioritizing tasks to ensure timely delivery of data analysis projects. Attention to Detail — meticulous in documenting findings and ensuring accuracy in reports and presentations. Good to Have (Bonus Skills) Data Visualization — proficiency in tools like Tableau or Matplotlib, enhancing the ability to present data insights effectively. R Programming — knowledge of R can complement Python skills, especially in statistical analysis. Cloud Computing — familiarity with platforms like AWS or Azure can provide an edge in data management and analysis. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in data science, equipped with relevant academic qualifications. Candidates must hold a Master's degree in Mathematics , Statistics , Operations Research , or related fields. Eligible batches include 2024 , 2025 , and 2026 , allowing fresh graduates to apply early in their careers. No prior experience is required, making this role ideal for freshers looking to enter the data science field. A minimum academic performance of 60% is preferred to ensure a strong foundational knowledge base. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, including your academic qualifications, relevant skills, and a link to your portfolio or GitHub showcasing your projects. Highlight any specific projects where you utilized Python or SQL to solve real-world problems in your application. Salary for Apprentice – Data Science at NielsenIQ 💰 Compensation ₹30,000–₹50,000/month* The advertised compensation for the Apprentice – Data Science role at NielsenIQ is ₹30,000–₹50,000/month* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at NielsenIQ The selection process for the Apprentice – Data Science role is designed to evaluate both technical skills and cultural fit within the company. 1 Online Assessment — 60 minutes, testing basic programming and statistical knowledge through MCQs. 2 Technical Interview — focuses on Python, SQL, and statistics, assessing problem-solving skills and technical knowledge. 3 Behavioral Interview — evaluates cultural fit and communication skills through situational questions. 4 HR Interview — discusses salary expectations and company culture, with an offer timeline of 1-2 weeks post-interview. Topic-wise Preparation Guide Round 1: Online Assessment Python Basics — understanding data types, control structures, and functions, crucial for the online assessment. — W3Schools Statistics Fundamentals — key concepts like mean, median, mode, and standard deviation. — Khan Academy SQL Queries — basic commands for data retrieval and manipulation. — HackerRank Data Structures — knowledge of lists, dictionaries, and arrays in Python. — GeeksForGeeks Round 2: Technical Interview Python Libraries — focus on Pandas and NumPy for data analysis. — Coursera SQL Joins — understanding inner, outer, and self joins for complex queries. — LeetCode Statistical Tests — familiarity with t-tests and chi-square tests for data analysis. — Khan Academy Machine Learning Basics — concepts of supervised vs. unsupervised learning. — Coursera Data Visualization Techniques — using Matplotlib or Seaborn for presenting data. — YouTube Round 3: Behavioral Interview Behavioral Questions — prepare using the STAR method to articulate past experiences. Team Collaboration — discuss experiences working in teams and resolving conflicts. Technical Deep-Dive — be ready to explain a data project you have worked on in detail. Timeline & Expectations The application to offer timeline typically spans 1-2 weeks, allowing candidates to prepare adequately for each stage. Focus on demonstrating both your technical abilities and how you align with NielsenIQ's values during the interviews. Expected Interview Questions for Apprentice – Data Science at NielsenIQ These questions are based on the role's actual tech stack and responsibilities. Technical Questions Explain how you would use Python to clean a dataset. What is the difference between a primary key and a foreign key in SQL? Describe a machine learning algorithm you are familiar with and its applications. How do you handle missing values in a dataset? What statistical methods would you use to analyze a given dataset? Can you explain the concept of overfitting in machine learning? Behavioral Questions Describe a time when you had to work under pressure to meet a deadline. How do you prioritize tasks when working on multiple projects? Tell me about a time you faced a challenge in a team setting and how you resolved it. What motivates you to work in data science? Role-Specific Questions What techniques would you use to analyze consumer behavior data? How would you approach building a predictive model for sales forecasting? Can you discuss a data project you have completed and the insights gained? Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Apprentice – Data Science Optimizing your resume for ATS is crucial for standing out in the application process. ATS Keywords to Include Data Science Python SQL Statistics Machine Learning Data Analysis Business Intelligence Data Visualization Predictive Modeling Data Cleaning Statistical Analysis Data Insights Resume Tips for This Role Highlight your technical skills in Python and SQL prominently, as they are crucial for this role. Emphasize any relevant projects or internships that demonstrate your data analysis capabilities. Include a link to your GitHub or portfolio showcasing your work in data science. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data science. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include unrelated skills or experiences that do not align with the data science role. About NielsenIQ NielsenIQ was founded in 1923 and has grown to become a global leader in market research, with its headquarters located in Chicago, USA . The company operates in over 100 countries , employing more than 45,000 professionals worldwide, including a significant presence in Vadodara, Gujarat, India . Specializing in data analytics and market research , NielsenIQ offers services such as Nielsen Connect and NielsenIQ Analytics , which provide businesses with insights into consumer behavior and market trends. These platforms leverage advanced analytics to help clients make informed decisions. NielsenIQ has been recognized for its innovative workplace culture, boasting a Glassdoor rating of 4.1 . The company emphasizes employee satisfaction through various programs, including mentorship initiatives and professional development opportunities, fostering a supportive environment for growth. Recently, NielsenIQ has expanded its technological capabilities by investing in AI and machine learning , enhancing its data analytics services. This strategic focus on technology positions the company to better serve its clients and adapt to evolving market demands. Joining NielsenIQ as a fresher offers a robust career launchpad, with access to comprehensive mentorship and training programs specifically designed for new entrants in the data science field. This supportive framework enables employees to build a solid foundation for their careers. Why Join NielsenIQ as Apprentice – Data Science? As an Apprentice – Data Science at NielsenIQ , you will gain invaluable experience in a company that prioritizes your professional development and technical skills. Hands-on Python Experience — Work with Python, a leading programming language essential for building robust data models and analytics. SQL Database Management — Gain exposure to SQL, a critical skill for effective data management and analysis. Clear Career Pathways — After 1-2 years, transition into roles such as Data Analyst or Junior Data Scientist, with defined advancement opportunities. Collaborative Work Culture — Engage with experienced professionals in cross-functional teams, enhancing your learning and networking. Cost-effective Living in Vadodara — Enjoy a lower cost of living compared to major cities, allowing for a comfortable lifestyle while working in a vibrant tech hub. According to NexisGrow.com, starting your career at NielsenIQ as an Apprentice – Data Science provides a unique opportunity to develop essential skills in a supportive environment. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Apprentice – Data Science at NielsenIQ? Eligibility Tap to expand + Answer Candidates with Master's in Mathematics, Statistics, Operations Research, 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: Python, SQL, Statistics, Machine Learning, Data Analysis. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹30,000–₹50,000/month*. 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: Python, SQL, Statistics, Machine Learning, Data Analysis. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Apprentice – Data Science interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Statistics, Machine Learning, Data Analysis, (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. 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