**About the Role**: **Grade Level (for internal use)**: 10 **The Role**: ML Engineer **Division**: S&P; Global Commodity Insights **The Location**: Remote - Mexico or Colombia **The Team**: The Data Science and Modelling group is responsible for developing and automating, in collaboration with SPGCI’s analysts, processes and models that support the production of commodity analytics across the spectrum from production to refining/transformation and demand. We are a multi-disciplinary team with a range of experience and specialties building solutions in a dynamic, agile manner. **The Impact**: This role has a core impact to our data science and modelling group responsible for enriching datasets and adding value to our analytics content through close collaboration with onsite and offshore teams to deliver Analytics data and modelling objectives. In this role you will gain a strong understanding of various commodities and Platts Analytics businesses to design and implement advanced strategic solutions and migrate the legacy processes into new technologies that enable data governance, automation, data quality monitoring and maintenance. **Responsibilities**: Create commodity models, using predictive modelling and other statistical and econometric techniques. Understand, implement, manage and maintain analytical solutions & techniques independently. Collaborate and coordinate with data, content and product management teams and provide analytical assistance for various commodity datasets Execute with discipline and deliver appropriate documentation Work closely with various stakeholders to collect, clean, model and visualise datasets. Extract hidden value insights and enrich accuracy of the datasets. Leverage technology and automate workflows creating modernized operational processes aligning with the team strategy. **Minimum Requirements**: Bachelor’s degree in Engineering, Mathematics, Economics, Computer Science, or related disciplines Fluent English (Conversational and written) Minimum of 3 years in similar role. Experience of working on end-to-end analytical modelling projects: problem scoping, data gathering, modelling, insights, visualizations, monitoring and maintenance Demonstrated ability to build constructive working relationships with various technology partners, stakeholders and other internal/ external users Experience with data automation and Machine Learning Strong written and verbal communication skills in English Experience using SQL, Excel and Python. **Preferred Requirements**: Master’s degree, preferably in economics, engineering, or similar field. Experience working as an analyst in the commodity space. Experience building high quality solutions and leading processes in an Agile development environment PySpark, copilot, chatgpt, CI/CD,. **NOTE**: Send your resume in English. About S&P; Global Commodity Insights At S&P; Global Commodity Insights, our complete view of global energy and commodities markets enables our customers to make decisions with conviction and create long-term, sustainable value. We’re a trusted connector that brings together thought leaders, market participants, governments, and regulators to co-create solutions that lead to progress. Vital to navigating Energy Transition, S&P; Global Commodity Insights’ coverage includes oil and gas, power, chemicals, metals, agriculture and shipping. S&P; Global Commodity Insights is a division of S&P; Global (NYSE: SPGI). S&P; Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today. What’s In It For You? **Our Purpose**: Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world. Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P; Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress. **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. **Our Values**: Integrity, Discovery, Partnership At S&P; Global, we focus on Powering Global Markets. 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