About the Role:

Grade Level (for internal use):

The Team:

The team is a highly analytical and solution-oriented group focused on solving complex cross-disciplinary problems using machine learning physics-based modeling optimization and data/UI engineering. We translate ambiguity into structured practical solutions and move efficiently from concept through validatedprototypeto production deployment. We value intellectual curiosity rigorous thinking clear communication rapid domain learning and strong ownership throughout the project lifecycle.

Responsibilities and Impact:

• Lead the design development and validation of stochastic physics-based and optimization models to solve complex real-world problems in the energy sector withstrongfocus on uncertainty quantification risk analysis and scenario simulation.

• Translate ambiguous business challenges into structured analytical frameworksrapidlyprototype solutions (machine learning models optimization engines interactive dashboards) and deliver validated production-ready tools.

• Conduct applied research to advance modeling methodologies integrating advanced statistical techniques (e.g. Bayesian inference Monte Carlo simulationMarkovand Gaussian processes) with modern machine learning frameworks.

• Collaborate closely with software engineers domain experts and deployment teams to ensure scalable architecture reproducible workflows and seamless transition from research to production.

• Leverage cloud platforms (AWS GCP Azure) data engineering best practices and emerging technologies including generative AI to build robust efficient and maintainable solutions.

• Communicate complex technical insights clearly to diverse stakeholders and mentor junior team members fostering a culture of rigor curiosity ownership and continuous learning.

WhatWereLookingFor:

Basic Required Qualifications:

• Advanced degree (MSc or PhD preferred) in a highly quantitative discipline such as Statistics Mathematics Computer Science Physics Engineering or Operations Research with strong experience in stochastic modeling optimization or statistical inference.

• Deepexpertisein probabilistic modeling uncertainty quantification Monte Carlo methods and modern machine learning techniques with the ability to apply them to complex real-world problems.

• Strong programming skills in Python (and/or R) including experience with scientific computing librariesthat aresimilar toNumPy pandas SciPy scikit-learn and modern ML frameworksthat aresimilar toPyTorchor TensorFlow.

• Experience building scalable production-oriented solutions using cloud platformsthat aresimilar toAWS GCP or Azure containerization toolsthat aresimilar toDocker Kubernetes and collaborative development workflowsthat aresimilar toGit CI/CD.

Key Soft Skills

• Strong problem-solving mindset with the ability to quickly understand new domains and translate ambiguity into structured actionable solutions.

• Clearand effective communicator capable of explaining complex technical concepts to both technical and non-technical stakeholders.

• High levelof ownership and accountability with the ability to move independently from concept through validation and deployment.

• Collaborative team player who contributes to a culture of rigor curiosity continuous learning and mentorship.

Additional Preferred Qualifications:

• Experience with quantum computing applications including quantum machine learning or quantum optimization methodologies.

• Familiarity with generative AI synthetic data generation and advanced simulation techniques for complex system modeling.

• Domain knowledge in energy markets commodity analytics or related industrial sectors.

• Demonstrated record of research impact such as publications in peer-reviewed journals or presentations at leading academic or industry conferences.

• Experience working with large-scale data ecosystemsthat are similar toSpark Hadoop and strong understanding of data governance privacy and security best practices

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were 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 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. Were 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 worlds 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed 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: Its 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 awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged 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 domain or any other regionally based domains it is a scam and should be reported to. 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 activityhere.

Required Experience:

IC