Senior Data Scientist at S&P Global Commodity Insights

📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company S&P Global Commodity Insights 👥 Experience 3-6 years 🎓 Qualification Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or another quantitative discipline 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹22–35 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills Python PySpark Apache Spark R SQL AWS Docker Terraform CI/CD tools large language model APIs Senior Data Scientist at S&P Global Commodity Insights — Full Details & How to Apply S&P Global Commodity Insights is seeking a Senior Data Scientist in Gurugram, Haryana, India , where you can leverage your expertise in Python and Spark to transform large datasets into actionable insights. This role is pivotal as the demand for data-driven insights in the commodity market is surging, making it crucial for S&P Global 's strategic initiatives. The role of a Senior Data Scientist is increasingly vital in the technology sector, especially as organizations strive to harness the power of data for informed decision-making. With the commodity market evolving rapidly, S&P Global is at the forefront of this transformation, utilizing advanced analytics to provide clients with critical insights that drive their business strategies. S&P Global Commodity Insights is an employer with a rich history, having been founded in 1868 , and its global workforce of over 20,000 employees fosters a culture of innovation and provides a robust platform for career growth. The company is focused on leveraging cutting-edge technologies, making it an ideal environment for a Senior Data Scientist to thrive. This position is open to 2023, 2024, 2025, 2026 graduates with a Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering or another quantitative discipline and 3-6 years experience . The estimated salary for this role ranges from ₹22–35 LPA , making it an attractive option in the competitive landscape of Gurugram, Haryana, India jobs . In this role, you will work with essential skills and technologies such as Python , PySpark , Apache Spark , R , SQL , AWS , Docker , Terraform , and CI/CD tools . Engaging with large language model APIs and RAG frameworks will not only enhance your technical expertise but also open doors to advanced career opportunities in data science and analytics. 📊 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 Senior Data Scientist at S&P Global Commodity Insights is tasked with developing advanced data solutions that leverage large datasets, enhancing client offerings in the commodity market. Develop scalable data-science workflows using Python and PySpark to process large datasets efficiently, ensuring optimal performance. Utilize AWS for implementing cloud-based data workloads, focusing on high availability and performance metrics. Collaborate with engineering and business teams to create tailored commodity-market solutions that meet specific client needs. Evaluate machine-learning models for performance metrics, aiming for continuous improvement in accuracy and reliability. Take ownership of integrating large language model APIs and RAG solutions into existing workflows for enhanced functionality. Document processes and communicate findings effectively to stakeholders across various departments, ensuring clarity and transparency. Engage in problem-solving sessions with clients to tailor data solutions that address specific challenges, enhancing client satisfaction. This role fosters an ownership culture, allowing you to make a direct impact on client solutions and drive innovation within the organization. Required Skills & Technical Competencies The ideal candidate for the Senior Data Scientist position will possess a robust technical skill set essential for developing data-driven solutions. Technical Skills Python — advanced — essential for data manipulation and model development, requiring at least 3 years of hands-on experience. PySpark — advanced — critical for processing large datasets, enabling efficient data transformation and analysis. SQL — advanced — used daily for querying databases and ensuring data integrity in analytical processes. AWS — intermediate — familiarity with cloud services is necessary for deploying scalable data solutions. Docker — intermediate — knowledge of this tool is essential for managing containerized applications in data workflows. Terraform — intermediate — required for managing infrastructure as code, ensuring efficient deployment of data solutions. CI/CD tools — intermediate — utilized for automating deployment processes, enhancing workflow efficiency. Large language model APIs — intermediate — integrated into workflows to improve data processing capabilities. RAG frameworks — intermediate — employed to enhance data retrieval and generation processes. 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 quantitative background and relevant experience in data science. Candidates must hold a Bachelor's or Master's degree in Computer Science , Data Science , Statistics , Mathematics , Engineering , or a related field. Eligible batches include 2023 to 2026 , allowing fresh graduates and early-career professionals to apply. The role requires 3-6 years of experience, with a preference for candidates who have at least 3 years of practical experience in Python and Spark . A minimum academic performance of 60% or CGPA of 6.0 is expected to ensure a strong academic background. Having a portfolio or GitHub showcasing relevant projects or internships can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your technical skills, relevant experience, and academic achievements. Include links to your portfolio or GitHub to showcase your work. Pro tip: Tailor your application to emphasize your experience with AWS and PySpark , as these are critical for this role. Salary for Senior Data Scientist at S&P Global Commodity Insights 💰 Compensation ₹22–35 LPA (estimated) The advertised compensation for the Senior Data Scientist role at S&P Global Commodity Insights is ₹22–35 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 Data Scientist Upskilling with the right resources significantly enhances your chances of selection for the Senior Data Scientist role by equipping you with essential skills and knowledge. Recommended Courses & Resources Python — Mastering Python is crucial for data manipulation and analysis in this role. Apache Spark — Essential for handling large datasets efficiently and performing complex computations. R — Important for statistical analysis and data visualization tasks in data science. SQL — Vital for querying and managing databases effectively in data-driven projects. KodNest — Provides practical coding challenges to enhance your programming skills relevant to data science. 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 showcase hands-on experience — Include practical experience with Python and Spark in your application. ❌ Overlooking the importance of a portfolio — Always include links to your portfolio or GitHub. ❌ Using generic language — Be specific with metrics or achievements in past roles. ❌ Not preparing for technical interviews — Practice relevant data science problems thoroughly. ❌ Ignoring S&P Global's business model — Understand their core business areas and recent developments. Before You Apply — Checklist ✅ Research S&P Global and understand its core business areas before applying. ✅ Update your resume to reflect relevant skills and experiences for the Senior Data Scientist role. ✅ Prepare a portfolio showcasing your data science projects and relevant work. ✅ Double-check the application portal for any specific submission guidelines. ✅ Ensure your LinkedIn profile is up-to-date and aligns with your resume. ✅ Gather references who can speak to your technical skills and work ethic. ✅ Practice common data science interview questions and case studies. ✅ Set reminders for application deadlines and follow-up dates. Resume Tailoring & ATS Keywords for Senior Data Scientist Optimizing your resume for ATS is crucial for ensuring it gets noticed for the Senior Data Scientist role. ATS Keywords to Include Data Scientist Python PySpark Machine Learning AWS SQL RAG Frameworks Docker Terraform CI/CD Statistical Modelling Large Language Models Resume Tips for This Role Highlight your experience with Python and Spark , as these are critical for the role. Emphasize any projects or internships related to data science or machine learning. Include links to your portfolio or GitHub to showcase your practical skills. Optimize your resume for ATS by incorporating relevant keywords from the job description. Avoid including unrelated work experience that does not demonstrate your data science capabilities. 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 resume for this specific role. How to Apply for Senior Data Scientist at S&P Global Commodity Insights Apply Now — S&P Global Commodity Insights Visit the S&P Global careers page and locate the Senior Data Scientist position. Prepare your resume, ensuring it highlights 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 interviews. Track your application status through the portal for updates. Applications reviewed on a rolling basis — early submission recommended. Apply Now — S&P Global Commodity Insights NexisGrow.com does not charge any fees for job applications. S&P Global Commodity Insights S&P Global , founded in 1868 , has expanded its operations to include over 30 countries worldwide, with its headquarters located in New York City . The company employs more than 20,000 professionals globally, including a significant presence in Gurugram, Haryana . This extensive footprint allows S&P Global to deliver insights across various markets. The core offerings of S&P Global include advanced data analytics services, particularly in commodities, financial markets, and risk management. Notable platforms such as Platts and Market Intelligence provide clients with critical market data and analytics. These services leverage cutting-edge technologies to enhance decision-making for businesses worldwide. S&P Global has received high ratings on Glassdoor, reflecting its inclusive culture and commitment to employee development. The company actively promotes professional growth through various programs, including mentorship and training initiatives. In 2022 , S&P Global was recognized as one of the best workplaces for diversity, showcasing its dedication to fostering an equitable environment. Recently, S&P Global announced a strategic investment in AI technologies, aimed at enhancing its capabilities in data analytics and machine learning. This initiative is part of a broader effort to innovate and improve service delivery. Additionally, the company has e…