Lead Data Scientist Stochastic Modeling at S&P Global

Calgary, Alberta, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Stochastic Modeling, Physics-Based Modeling, Optimization, Uncertainty Quantification, Risk Analysis, Scenario Simulation, Bayesian Inference, Monte Carlo Simulation, Gaussian Processes, Machine Learning, Python, PyTorch, TensorFlow, AWS, GCP, Azure

Industry

Financial Services

Description

About the Role: Grade Level (for internal use): 12 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 validated prototype to 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, with strong focus on uncertainty quantification, risk analysis, and scenario simulation. Translate ambiguous business challenges into structured analytical frameworks, rapidly prototype 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 simulation, Markov and 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. What We’re Looking For: 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. Deep expertise in 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 libraries that are similar to NumPy, pandas, SciPy, scikit-learn and modern ML frameworks that are similar to PyTorch or TensorFlow. Experience building scalable, production-oriented solutions using cloud platforms that are similar to AWS, GCP, or Azure, containerization tools that are similar to Docker, Kubernetes, and collaborative development workflows that are similar to Git, CI/CD. Key Soft Skills Strong problem-solving mindset with the ability to quickly understand new domains and translate ambiguity into structured, actionable solutions. Clear and effective communicator, capable of explaining complex technical concepts to both technical and non-technical stakeholders. High level of 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 ecosystems that are similar to Spark, Hadoop and strong understanding of data governance, privacy, and security best practices 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. ----------------------------------------------------------- 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 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

Responsibilities

The role involves leading the design, development, and validation of stochastic, physics-based, and optimization models to address complex energy sector problems, focusing heavily on uncertainty quantification and risk analysis. Responsibilities include translating business challenges into analytical frameworks, rapid prototyping of solutions like ML models and dashboards, and conducting applied research to advance modeling methodologies.