S&P Global
About the Role
Grade Level (for internal use) :
09 S&P Enterprise Data Organization Data Scientist The Team :
As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production‑ready AI products and pipelines while leading‑by‑example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk‑taking and self‑initiative.
The Impact
The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high‑impact business problems.
What’s in it for you
Be a part of a global company and build solutions at enterprise scale
Collaborate with a highly skilled and technically strong team
Contribute to solving high complexity, high impact problems
Key Responsibilities
Design, Develop and Deploy ML powered products and pipelines
Play a central role in all stages of the data science project life cycle, including:
Identification of suitable data science project opportunities
Partnering with business leaders, domain experts, and end‑users to gain business understanding, data understanding, and collect requirements
Evaluation / interpretation of results and presentation to business leaders
Performing exploratory data analysis, proof‑of‑concept modelling, model benchmarking and setup model validation experiments
Training large models both for experimentation and production
Develop production ready pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Spearhead deployment and model scaling strategies
Stakeholder management and representing the team in front of our leadership
Leading and mentoring by example including project scrums
What We’re Looking For
2+ years of professional experience in Data Science domain
Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch / TF2, HuggingFace etc.)
Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
Expertise in probabilistic machine learning model for classification, regression & clustering
Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
Exposure to Information Retrieval, Web scraping and Data Extraction at scale
OOP Design patterns, Test‑Driven Development and Enterprise System design
SQL (any variant, bonus if this is a big data variant)
Linux OS ( bash toolset and other utilities)
Version control system experience with Git, GitHub, or Azure DevOps.
Problem‑solving and debugging skills
Software craftsmanship, adherence to Agile principles and taking pride in writing good code
Techniques to communicate change to non‑technical people
Nice to have
Prior work to show on Github, Kaggle, StackOverflow etc.
Cloud expertise (AWS and GCP preferably)
Expertise in deploying machine learning models in cloud environments
Familiarity in working with LLMs
Location Mexico City (Santa Fe, 2 days onsite a week)
Benefits 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 :
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 activity here.
#J-18808-Ljbffr
09 S&P Enterprise Data Organization Data Scientist The Team :
As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production‑ready AI products and pipelines while leading‑by‑example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk‑taking and self‑initiative.
The Impact
The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high‑impact business problems.
What’s in it for you
Be a part of a global company and build solutions at enterprise scale
Collaborate with a highly skilled and technically strong team
Contribute to solving high complexity, high impact problems
Key Responsibilities
Design, Develop and Deploy ML powered products and pipelines
Play a central role in all stages of the data science project life cycle, including:
Identification of suitable data science project opportunities
Partnering with business leaders, domain experts, and end‑users to gain business understanding, data understanding, and collect requirements
Evaluation / interpretation of results and presentation to business leaders
Performing exploratory data analysis, proof‑of‑concept modelling, model benchmarking and setup model validation experiments
Training large models both for experimentation and production
Develop production ready pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Spearhead deployment and model scaling strategies
Stakeholder management and representing the team in front of our leadership
Leading and mentoring by example including project scrums
What We’re Looking For
2+ years of professional experience in Data Science domain
Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch / TF2, HuggingFace etc.)
Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
Expertise in probabilistic machine learning model for classification, regression & clustering
Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
Exposure to Information Retrieval, Web scraping and Data Extraction at scale
OOP Design patterns, Test‑Driven Development and Enterprise System design
SQL (any variant, bonus if this is a big data variant)
Linux OS ( bash toolset and other utilities)
Version control system experience with Git, GitHub, or Azure DevOps.
Problem‑solving and debugging skills
Software craftsmanship, adherence to Agile principles and taking pride in writing good code
Techniques to communicate change to non‑technical people
Nice to have
Prior work to show on Github, Kaggle, StackOverflow etc.
Cloud expertise (AWS and GCP preferably)
Expertise in deploying machine learning models in cloud environments
Familiarity in working with LLMs
Location Mexico City (Santa Fe, 2 days onsite a week)
Benefits 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 :
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 activity here.
#J-18808-Ljbffr