Data Scientist II
at Standard & Poor's
Posted 7 hours ago
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- Compensation
- Not specified
- City
- Not specified
- Country
- India
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Data Scientist II at S&P Global Mobility will evaluate, write, and maintain machine learning models aligned with business requirements and performance metrics. You will monitor model performance, deploy code with engineering teams, and document methodologies for internal reference and compliance. The role involves data analytics to derive actionable insights, and translating complex model findings for internal stakeholders. You’ll collaborate with cross-functional teams to implement various models, including time series forecasting, predictive modeling, regression, causal inference, data imputation, and custom LLM implementations.
About the Role:
Grade Level (for internal use):
09S&P Global Mobility
The Role: Data Scientist II
The Team:
We are seeking a skilled Data Scientist 2 to join our dynamic team. The ideal candidate will have a strong background in machine learning and data analytics, with proven experience in evaluating, writing, and maintaining ML models. You will be responsible for the operations and monitoring of models, code promotion and deployment, and documentation. Effective communication skills are essential, as you will need to explain complex models to internal customers clearly.
Responsibilities and Impact:
- Evaluate, write, and maintain machine learning models, ensuring they meet business requirements and performance metrics.
- Monitor model performance and conduct regular evaluations to ensure accuracy and reliability.
- Promote and deploy code in collaboration with engineering teams, ensuring smooth integration into production environments.
- Document processes, methodologies, and model specifications for internal reference and compliance.
- Communicate findings and model insights to internal stakeholders, translating complex concepts into understandable terms.
- Conduct data analytics to derive actionable insights and support decision-making processes.
- Collaborate with cross-functional teams to implement various types of models, including but not limited to:
- Time series forecasting
- Predictive modeling
- Regression analysis
- Causal inference
- Data imputation
- Custom large language model (LLM) implementations
What We’re Looking For:
Basic Required Qualifications:
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
- Strong proficiency in Python and SQL; experience with data manipulation and analysis.
- Familiarity with AWS or similar cloud services is preferred.
- Proven experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Strong analytical skills and the ability to evaluate model performance using appropriate metrics.
- Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders.
- Experience in working with large datasets and data visualization tools is a plus
About S&P Global Mobility
S&P Global has recently announced the intent to separate our Mobility Segment into a standalone public company.
About S&P Global Mobility
At S&P Global Mobility, we provide invaluable insights derived from unmatched automotive data, enabling our customers to anticipate change and make decisions with conviction. Our expertise helps them to optimize their businesses, reach the right consumers, and shape the future of mobility. We open the door to automotive innovation, revealing the buying patterns of today and helping customers plan for the emerging technologies of tomorrow.
For more information, visit www.spglobal.com/mobility.
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 reportfraud@spglobal.com. 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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
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Job ID: 322090
Posted On: 2026-02-25
Location: Gurgaon, Haryāna, India
