📋 Job Details at a Glance 📍 Location Bengaluru, Karnataka, India 🏢 Company Nielsen 👥 Experience 5-9 years 🎓 Qualification Bachelor’s, master’s or Ph.D. in Computer Science, AI, Machine Learning, Statistics, Mathematics, Engineering or a related quantitative field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹25–45 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Python SQL Scikit-learn Pandas NumPy SciPy Matplotlib Seaborn XGBoost LightGBM Senior AI/ML Data Scientist II at Nielsen — Full Details & How to Apply At Nielsen , the Senior AI/ML Data Scientist II role in Bengaluru, Karnataka, India is pivotal in shaping data-driven strategies. With a competitive salary range of ₹25–45 LPA , this position offers freshers a unique opportunity to influence industry-leading projects. The demand for AI/ML expertise is surging in India, making the Senior AI/ML Data Scientist II role at Nielsen crucial for leveraging data analytics to enhance consumer insights. As companies increasingly rely on data to drive decisions, professionals in this field are becoming indispensable, and Nielsen is at the forefront of this transformation. What sets Nielsen apart as an employer is its rich history and scale; founded in 1923 , it boasts over 46,000 employees globally. This extensive network provides a collaborative environment where innovation thrives. The company is recognized for its commitment to audience measurement and analytics, making it an ideal place for aspiring data scientists. We encourage 2023, 2024, 2025, 2026 graduates with a Bachelor’s, master’s or Ph.D. in Computer Science, AI, Machine Learning, Statistics, Mathematics, Engineering or a related quantitative field and 5-9 years experience to apply. This role not only offers a competitive salary of ₹25–45 LPA (estimated) but also a chance to work on groundbreaking projects. In this role, you will gain hands-on experience with cutting-edge tools such as Python , SQL , Scikit-learn , Pandas , NumPy , SciPy , Matplotlib , Seaborn , XGBoost , LightGBM , CatBoost , Streamlit , Gradio , Flask , Django , Docker , Kubernetes , Kubeflow , MLflow , Git , CI/CD , Spark , Kafka , AWS , GCP , and Azure . This experience will open doors to advanced career opportunities in AI and machine learning. 📊 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 AI/ML Data Scientist II at Nielsen is to lead the development of innovative AI/ML solutions that drive data-driven decision-making across various business units. Lead the development of AI/ML solutions by preparing and analyzing complex datasets using Python and SQL to derive actionable insights. Utilize Scikit-learn to train and optimize machine-learning models, ensuring they deliver real-time analytics for business applications. Collaborate with cross-functional teams, including product management and engineering, to align AI initiatives with specific business goals. Monitor model performance metrics, employing tools like MLflow , to ensure accuracy and reliability in production environments. Take ownership of mentoring junior data scientists, fostering a culture of knowledge sharing and technical growth within the team. Document processes and results using Git to maintain transparency and facilitate future project iterations effectively. Engage with clients to understand their needs and provide tailored AI solutions that address specific challenges using AWS or GCP . This role emphasizes ownership and direct impact, allowing you to shape AI strategies that drive significant business outcomes at Nielsen . Required Skills & Technical Competencies The ideal candidate for the Senior AI/ML Data Scientist II role must possess a robust skill set in advanced data science techniques and tools. Technical Skills Python — advanced — essential for developing machine learning algorithms and performing data manipulation. SQL — advanced — used for querying large datasets, crucial for data extraction and analysis in this role. Scikit-learn — advanced — applied daily for building and evaluating machine learning models, ensuring robust performance. Docker — intermediate — vital for containerization of ML models in production environments. Kubernetes — intermediate — used for orchestration of ML models, ensuring scalability and reliability. CI/CD — intermediate — evaluated through practical assessments to ensure smooth deployment of machine learning solutions. AWS — intermediate — utilized for deploying scalable AI solutions in cloud environments. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for candidates with a strong academic background and relevant experience in data science and machine learning. Candidates must hold a Bachelor’s , Master’s , or Ph.D. in Computer Science , AI , Machine Learning , Statistics , Mathematics , or Engineering . Eligible batches include 2023 to 2026 , allowing fresh graduates to apply and kickstart their careers. The role requires 5-9 years of experience, but freshers with relevant internships or projects may be considered. A minimum academic performance of 60% in relevant degrees is preferred to ensure a strong grasp of technical concepts. Having a portfolio or GitHub showcasing relevant projects will provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your technical skills, relevant projects, and academic achievements. Pro tip: Include specific metrics or outcomes from your projects to demonstrate the impact of your work in AI/ML applications. Salary for Senior AI/ML Data Scientist II at Nielsen 💰 Compensation ₹25–45 LPA (estimated) The advertised compensation for the Senior AI/ML Data Scientist II role at Nielsen is ₹25–45 LPA (estimated) . 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 AI/ML Data Scientist II Upskilling with the right resources significantly improves your selection odds for the Senior AI/ML Data Scientist II role at Nielsen . Recommended Courses & Resources Python — Essential for developing AI/ML algorithms and data manipulation. SQL — Crucial for data extraction and management in databases. Scikit-learn — Key library for implementing machine learning models. Pandas — Vital for data analysis and manipulation tasks. KodNest — Offers hands-on experience with AI/ML projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize your resume to reflect the specific skills and responsibilities mentioned in the job description. ❌ Neglecting practical experience — Showcase your hands-on experience with tools like Docker or AWS. ❌ Overloading with generic phrases — Use specific achievements or projects instead of vague statements. ❌ Ignoring the cover letter — Address your motivation for applying to Nielsen in your cover letter. ❌ Submitting without proofreading — Ensure your resume is free of errors to demonstrate attention to detail. ❌ Not preparing for technical interviews — Practice coding challenges relevant to AI/ML to be well-prepared. Before You Apply — Checklist ✅ Research Nielsen's recent projects and initiatives to tailor your application effectively. ✅ Update your resume to reflect relevant skills and experiences aligned with the job description. ✅ Prepare a cover letter that articulates your interest in the role and the company. ✅ Gather references who can speak to your technical abilities and teamwork skills. ✅ Ensure your LinkedIn profile is current and reflects your resume accurately. ✅ Practice common AI/ML interview questions and coding challenges. ✅ Submit your application through the provided link, ensuring all documents are attached. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Senior AI/ML Data Scientist II Optimizing your resume for ATS is crucial for standing out in the application process for the Senior AI/ML Data Scientist II role. ATS Keywords to Include AI Machine Learning Data Science Python SQL Scikit-learn MLOps Docker Kubernetes Model Evaluation Feature Engineering Statistical Modelling Resume Tips for This Role Highlight relevant projects that demonstrate your proficiency in AI/ML and the tools listed in the job description. Emphasize teamwork and collaboration experiences, particularly in cross-functional settings. Include a link to your GitHub or portfolio showcasing your coding skills and completed projects. Optimize your resume for ATS by including specific keywords from the job description. Avoid including unrelated work experience that does not showcase your technical skills or relevant achievements. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Do not include unrelated job experiences that do not highlight your technical skills or relevant achievements for this role. How to Apply for Senior AI/ML Data Scientist II 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 the job description and highlights relevant skills. Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email regarding your application status. Track your application through the portal to stay updated on its progress. Applications reviewed on a rolling basis — early submission recommended. Apply Now — Nielsen NexisGrow.com does not charge any fees for job applications. Nielsen Nielsen was founded in 1923 and has expanded its operations to over 100 countries , with its headquarters located in New York City . The company employs approximately 46,000 people worldwide, providing valuable insights into consumer behavior and media consumption across diverse markets. Its extensive global footprint enables Nielsen to deliver data-driven solutions to clients in various industries. The core offerings of Nielsen include its well-known Nielsen TV Ratings and Nielsen Digital Content Ratings , which provide critical audience measurement services. Additionally, the company has developed advanced analytics platforms that leverage big data to help businesses understand consumer preferences and optimize their marketing strategies. These services are essential for brands aiming to enhance their market presence. Nielsen has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.0 , which reflects high employee satisfaction and engagement. The company actively promotes diversity and inclusion through various employee programs, fostering a collaborative environment that encourages personal and professional growth. Such recognition highlights Nielsen 's commitment to creating a supportive workplace. Recently, Nielsen has focused on integrating AI into its analytics platforms, significantly enhancing its capabilities in real-time data processing. This initiative is part of a broader strategy to leverage cutting-edge technology, ensuring that Nielsen remains at the forefront of the industry. The company is also exploring partnerships to expand its service offerings and reach new markets. For freshers looking to build a career in technology, Nielsen serves as an excellent launchpad. The company’s emphasis on innovation and continuous learning provides ample opportunities for skill development in areas such as AI and data science . With its robust training programs and commitment to employee growth, Nielsen is well-positioned to nurture the next generation of tech talent. 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 AI/ML Data Scientist II at Nielsen? Eligibility Tap to expand + Answer Candidates with Bachelor’s, master’s or Ph.D. in Computer Science, AI, Machine Learning, Statistics, Mathematics, Engineering or a related quantitative field and 5-9 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, SQL, Scikit-learn, Pandas, NumPy. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹25–45 LPA (estimated). 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, SQL, Scikit-learn, Pandas, NumPy. ? 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 AI/ML Data Scientist II interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Scikit-learn, Pandas, NumPy, (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. 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