📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Nielsen 👥 Experience 3-5 years 🎓 Qualification Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering or another quantitative discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹18–₹30 LPA 🏢 Industry Technology 🛠 Key Skills Python PySpark SQL AWS Azure Google Cloud Platform Tableau Power BI Senior Data Scientist I at Nielsen — Full Details & How to Apply Nielsen is seeking a Senior Data Scientist I in Bengaluru, Karnataka, India , where you can leverage cutting-edge tools like AWS and Python to drive impactful analytics. This role offers a competitive salary range of ₹18–₹30 LPA , making it an attractive opportunity for freshers. The demand for data-driven decision-making in technology is surging, making this Senior Data Scientist I role pivotal for Nielsen 's analytics strategy. As organizations increasingly rely on data to guide their business decisions, the need for skilled professionals who can interpret complex datasets has never been greater. This position is crucial in shaping how Nielsen approaches analytics and influences its market strategies. Nielsen , founded in 1923 , has over 46,000 employees globally, providing a robust platform for career growth. The company is known for its innovative analytics solutions that empower businesses to understand consumer behavior. Working at Nielsen means being part of a culture that values data integrity and fosters professional development, making it a standout employer in the technology sector. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering or another quantitative discipline to apply. Candidates should have 3-5 years experience in relevant fields. With a salary range of ₹18–₹30 LPA , this role is designed for those ready to take their careers to the next level. In this role, you will work with advanced tools such as PySpark , SQL , Google Cloud Platform , Tableau , and Power BI . This unique exposure to cloud-based analytics will not only enhance your technical skills but also open doors to various career paths in data science, analytics, and beyond. The experience gained here will significantly boost your professional trajectory in the tech industry. 📊 Role Difficulty: Medium | Competition Level: High | 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 core mission of the Senior Data Scientist I at Nielsen is to leverage advanced analytics to drive data-driven decisions, enhancing operational efficiency and strategic outcomes across various business units. Develop and modify production-grade analytics code using Python to enhance data processing efficiency and streamline workflows. Design and maintain scalable data pipelines leveraging AWS services like S3 and EC2 for effective cloud-based data management. Collaborate with data engineers and business teams to ensure alignment on project objectives and deliverables, utilizing SQL for data extraction. Analyze large datasets using PySpark to derive actionable insights that significantly impact business strategies and outcomes. Take ownership of analytics projects, managing timelines and stakeholder expectations effectively through clear communication. Document analytics processes and create reports using Tableau to communicate findings to non-technical stakeholders. Engage with clients to understand their data needs and provide tailored analytical solutions using Power BI for visualization. This role fosters an ownership culture where your contributions directly impact business strategies, driving measurable results and enhancing client satisfaction. Required Skills & Technical Competencies The ideal candidate for the Senior Data Scientist I position must possess a robust technical skill set to effectively analyze and interpret complex data. Technical Skills Python — advanced — essential for data manipulation and analysis, utilizing libraries like Pandas and NumPy for efficient data processing. PySpark — advanced — crucial for handling large datasets efficiently in a distributed computing environment, enabling scalable data analysis. SQL — intermediate — used daily for querying databases and extracting relevant data for analysis, ensuring accurate insights. AWS — intermediate — familiarity with services like S3 and EC2 is vital for implementing cloud-based data solutions and managing data storage. Tableau — intermediate — proficiency in creating interactive dashboards to visualize complex data insights and communicate findings effectively. Power BI — intermediate — utilized for developing visual reports that present analytical results to stakeholders in an understandable format. When showcasing these technical skills in your resume or interview, emphasize specific projects where you applied these technologies to achieve measurable outcomes. Eligibility Criteria This role is designed for candidates with a strong quantitative background and relevant experience in data science, including fresh graduates with the right skills. A Bachelor's degree in Computer Science , Statistics , Mathematics , or Engineering is required to ensure a solid quantitative foundation. Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and start their careers in data science. The role is designed for candidates with 3-5 years of experience, but freshers with relevant skills are also encouraged to apply. A minimum academic performance of 60% is preferred to demonstrate a solid understanding of quantitative subjects. Having a portfolio or GitHub showcasing relevant projects can significantly enhance a fresher's application. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your technical skills and relevant projects. Include links to your portfolio or GitHub to showcase your work. Pro tip: Tailor your application to emphasize specific projects where you utilized the required skills, demonstrating your direct impact on outcomes. Salary for Senior Data Scientist I at Nielsen 💰 Compensation ₹18–₹30 LPA The advertised compensation for the Senior Data Scientist I role at Nielsen is ₹18–₹30 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 Senior Data Scientist I Upskilling with the right resources significantly improves your chances of selection for the Senior Data Scientist I role at Nielsen . Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. SQL — Crucial for database querying and data extraction tasks. AWS — Important for cloud computing and data storage solutions. Azure — Useful for deploying machine learning models in the cloud. KodNest — Great for hands-on coding practice and project experience. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume — Customize your resume for the specific skills and responsibilities outlined in the job description. ❌ Neglecting to showcase relevant projects — Highlight internships or projects that demonstrate practical experience. ❌ Using generic language — Provide specific examples of achievements or contributions. ❌ Overlooking technical skills — Include all technical skills mentioned in the job posting. ❌ Not preparing for technical assessments — Practice coding challenges and technical questions. ❌ Submitting applications without proofreading — Check for errors or inconsistencies before submission. Before You Apply — Checklist ✅ Research Nielsen 's recent projects and news to tailor your application effectively. ✅ Ensure your resume highlights relevant skills and experiences specific to the role. ✅ Prepare a cover letter that articulates your interest in data science and Nielsen . ✅ Gather references who can speak to your analytical skills and teamwork abilities. ✅ Review the application portal for any specific submission guidelines. ✅ Double-check your application for completeness before submission. ✅ Set reminders for follow-ups after submitting your application. ✅ Prepare for potential interviews by practicing common data science questions. Resume Tailoring & ATS Keywords for Senior Data Scientist I Optimizing your resume for ATS is crucial for securing the Senior Data Scientist I position at Nielsen . ATS Keywords to Include Data Scientist Python PySpark SQL AWS Tableau Data Analytics Data Engineering Statistical Modelling Cloud Computing Project Management Stakeholder Collaboration Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in Python and data analytics. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include a portfolio link showcasing your analytical solutions and dashboards. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experiences that do not align with the data science role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic statements that do not add value to your application. How to Apply for Senior Data Scientist I at Nielsen Apply Now — Nielsen Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to highlight relevant skills and experiences. Fill out the application form, paying attention to detail and clarity. After submission, expect a confirmation email and prepare for potential follow-up communications. Use the application portal to track the status of your application. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Nielsen NexisGrow.com does not charge any fees for job applications. Nielsen Nielsen , founded in 1923 , is headquartered in New York and operates in over 100 countries, employing thousands in analytics roles, particularly in Bengaluru, Karnataka, India . The company has a robust workforce, with a significant number of employees dedicated to data analytics, reflecting its global reach and influence in the technology sector. Specializing in data analytics services, Nielsen offers platforms like NielsenIQ and Nielsen Marketing Cloud , which provide insights into consumer behavior and market trends. These products enable businesses to make informed decisions based on comprehensive data analysis, showcasing the company's commitment to delivering actionable insights. Nielsen has received a Glassdoor rating of 4.0 , highlighting its strong workplace culture that emphasizes collaboration and innovation. The company actively promotes employee development through various programs, fostering a supportive environment that encourages professional growth and teamwork among its diverse workforce. Recently, Nielsen has expanded its cloud capabilities by integrating AWS and Azure , enhancing its data processing and analytics efficiency. This strategic move reflects the company's commitment to leveraging cutting-edge technology to improve its service offerings and maintain its competitive edge in the analytics industry. For freshers in technology, Nielsen provides unparalleled exposure to industry-leading analytics practices. The company’s focus on innovation and professional development creates a strong career launchpad, allowing new employees to rapidly advance their careers while gaining valuable experience in a thriving sector. Company Details Industry Technology Location Bengaluru, Karnataka, India Connect With Us Careers Apply Now Website 🔗 jobs.smartrecruiters.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Senior Data Scientist I at Nielsen? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering or another quantitative discipline and 3-5 years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, PySpark, SQL, AWS, Azure. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹18–₹30 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at Nielsen? 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, PySpark, SQL, AWS, Azure. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Data Scientist I interview? Preparation Tap to expand + Answer (1) Core concepts of Python, PySpark, SQL, AWS, Azure, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) Nielsen research, (5) Clear communication. ? What is the work culture like at Nielsen? 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 Bengaluru Browse all Tech jobs Latest Fresher jobs More jobs at Nielsen 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