AI Data Scientist

S&P Global; Mexico; Hybrid; PHP 3,176,847 - 4,235,796; Full time

Benefits offered by this job

Health & Wellness

Flexible Downtime

Continuous Learning

Invest in Your Future

Family Friendly Perks

Beyond the Basics

Job summary

S&P Global is seeking an AI Data Scientist in a hybrid role based in Mexico City (onsite 2 days/week) or Colombia via remote work. The candidate will design automation workflows, build AI agents, and deploy LLM-based solutions with vector databases and orchestration tools.

Strong Python, data engineering, and ML experience are required. You’ll work with a cross-functional team to analyze data, create scalable pipelines, and drive business decisions from insights.

Qualifications

• 5+ years of programming experience with 3+ years of Python.
• 1+ years building and deploying LLM-based applications (RAG architectures).
• 1+ years workflow automation platform experience.
• 2+ years with relational or NoSQL databases.
• Bachelor’s degree in CS, Engineering, or related discipline.

Responsibilities

• Design workflow automation solutions to streamline operations for clients.
• Create AI-powered agents to automate tasks and improve efficiency.
• Build retrieval-augmented generation applications using vector DBs and orchestration frameworks.
• Collaborate with business teams to analyze data and build pipelines.
• Drive business decisions from data-informed insights.

Skills

Python

OOP programming

Design patterns

SOLID principles

Version control (Git)

LLM-based applications

Workflow automation

Data pipelines

Distributed systems

Education

Bachelor’s degree in Computer Science or related field

Tools

Vector databases

Orchestration frameworks

LLM operations/monitoring tools

Job description

Team

Our Data Science and Modelling (DS&M) team drives innovation by transforming complex commodity data into actionable insights that impact global business decisions. We're a collaborative, goal‑oriented group working in a dynamic environment where you’ll leverage cutting‑edge AI and automation technologies alongside talented data scientists, engineers, and domain experts who value continuous learning and creative problem‑solving.

About the Role

Grade Level (for internal use): 10

Position: AI Data Scientist

Location: Mexico City (hybrid – 2 days per week onsite, Paseo de la reforma #180) or Colombia remote.

Responsibilities & Impact

• Design workflow automation solutions using enterprise automation platforms or similar tools to streamline operations for internal and external clients
• Create AI‑powered agents to automate tasks and improve user efficiency
• Build and maintain retrieval‑augmented generation (RAG) applications and LLM‑powered solutions using vector databases and orchestration frameworks to enhance data retrieval and generation capabilities
• Work with business teams to analyze data, build pipelines, and identify automation opportunities
• Drive business decisions based on insights obtained from data

What We’re Looking For

Basic Required Qualifications

• Strong experience in object‑oriented programming, with the ability to design and develop modular, maintainable code, and a solid understanding of design patterns and SOLID principles, including advanced use of distributed version control systems for collaborative development
• 5+ years of programming experience with 3+ years of Python; and a strong understanding of data pipelines, machine learning implementation, and clean code practices
• 1+ years hands‑on experience building and deploying LLM‑based applications, including RAG architectures using orchestration frameworks, vector databases, and LLM operations/monitoring tools
• 1+ years hands‑on experience with workflow automation platforms or similar technologies
• 2+ years’ experience accessing and manipulating data with relational or NoSQL databases
• Bachelor’s degree in Computer Science, Engineering, or related discipline.

Key Soft Skills

• Excellent written and spoken English communication skills with the ability to translate technical concepts for non‑technical stakeholders
• Collaborative team player who thrives in Agile environments
• Adaptability and willingness to learn and adopt new tools and technologies

Additional Preferred Qualifications

• Recent work experience in an AI workflows role or experience with production LLM operations including prompt engineering, model evaluation, cost optimisation, and managing LLM application lifecycle
• Experience working with commodity markets
• Experience with enterprise automation platforms or automation certifications
• Experience with deep learning frameworks and unified analytics platforms
• Knowledge of cloud services, big data technologies, large‑scale data analytics tools, and API integration

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.

• Health & Wellness: Health care coverage designed for the mind and body.
• Flexible Downtime: Generous time off helps keep you energized.
• 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 programmes.
• Family Friendly Perks: Perks for partners and little ones, including best‑in‑class benefits for families.
• Beyond the Basics: Small perks such as retail discounts and referral incentive awards to make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit‑summaries

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.

Accommodation request email: [e-mail].

US Candidates Only: Know Your Rights. Workplace discrimination is illegal.