- Location
- IN - GURUGRAM DLF DOWNTOWN BLOCK 4 FL 11&12, India
- Type
- Full-time
- Department
- Engineering
- Education
- Certification
- Closing date
- Today
- Source
- Workday
Description
About the Role:
Grade Level (for internal use):
05About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit www.spglobal.com/marketintelligence
Starting your Career with Us - Apprenticeship Program
We hire into a wide variety of exciting roles across our business and as you begin your career with us, we're here to support your transition into the professional world. Our apprenticeship program is designed to provide hands-on experience working alongside industry experts, giving you the opportunity to apply your academic knowledge to real-world challenges. You'll have access to learning resources that will build vital skills and industry knowledge while being mentored by experienced professionals.
Through a wide variety of experiences and opportunities, like all our colleagues, you'll become an integral part of our community and culture – all enhancing the exciting work you with the team you're hired into! You'll be part of a global community, building an invaluable network of knowledge and support from your mentors, peer group, and wider teams.
About the role
The Apprentice Data Scientist will work closely with Data Scientists, Machine learning engineers, data engineers and product teams to learn and contribute to the design and development of innovative, data-driven solutions. This includes assisting with data exploration, building machine learning models, and leveraging cutting-edge Generative AI technologies to extract insights from complex datasets. The apprentice will support the team in deploying statistical and predictive models while learning data science best practices throughout the machine learning lifecycle. Under the guidance of senior data scientists, you will help transform raw data into actionable intelligence that drives our business forward.
Key Responsibilities
- Coding & Best Practices: Write, test, and maintain robust code in Python (Pandas, NumPy, Scikit-Learn), strictly adhering to software development and coding best practices.
- Statistical Analysis: Apply general statistics and probability for exploratory data analysis (EDA), hypothesis testing, and data validation.
- Machine Learning: Assist in developing, training, and evaluating ML models for predictive analytics and classification.
- Generative AI: Explore and implement modern GenAI solutions, including Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG).
- MLOps & Deployment: Utilize Git for version control, containerize models using Docker, and assist in integrating machine learning workflows into CI/CD pipelines.
- Innovation: Research and integrate the latest market trends and emerging technologies in data science and AI.
- Collaboration: Participate in Agile ceremonies, work closely with cross-functional teams, and document technical methodologies.
What We're Looking For (Minimum Qualifications)
- Education: Currently pursuing or recently graduated with a degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field.
- Technical Skills: Strong proficiency in Python, a solid foundation in general statistics, and a basic understanding of Machine Learning algorithms.
- Engineering Tools: Familiarity with version control (Git), containerization (Docker), and continuous integration/continuous deployment (CI/CD) concepts.
- Soft Skills: Excellent critical thinking, problem-solving, and communication skills to explain complex concepts to non-technical teams.
Good to Have (Preferred Qualifications)
- Advanced AI Concepts: Exposure to building autonomous AI Agents and an understanding of Model Context Protocols (MCPs) for connecting AI models to external tools and data sources.
- Deep Learning & Hardware: Familiarity with Deep Learning frameworks (e.g., PyTorch, TensorFlow) and a basic understanding of GPU utilization for model training and inference.
- Model Fine-Tuning: Knowledge of techniques for fine-tuning pre-trained models (e.g., LoRA, PEFT) to adapt them to specific business tasks.
About S&P Global Market Intelligence
At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.
For more information, visit www.spglobal.com/marketintelligence.
What’s In It For You?
Our Mission:
Advancing Essential Intelligence.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [email protected]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
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Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: [email protected] and your request will be forwarded to the appropriate person.
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
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