Senior Data Scientist

About the Role :

Grade Level (for internal use) :

10 Team Overview

Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially

AWS and Snowflake , and prioritise data security and governance. Collaboration is key, as we work closely with

Data Scientists and ML Engineers

to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like

Generative AI models

and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes. Role Impact

In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the

Machine Learning (ML) and Generative AI (GenAI) lifecycle . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will

drive innovation by developing, optimising, and maintaining production-level data pipelines

that support both analytical and predictive modelling, enhancing data processing efficiency and enabling

data-driven decision-making

across the organisation. Main Contributions Responsibilities : (Dual Emphasis on Data Engineering & Data Science Enablement)

ML Data Pipeline Development :

Create and uphold scalable, reliable, and secure data infrastructure essential for

Machine Learning model training, validation, and inference

in production settings. Feature Store Collaboration :

Partner with Data Scientists to design, build, and maintain a centralized

Feature Store , ensuring consistency, reusability, and low-latency access to features for model training and deployment. GenAI Data Handling :

Develop and execute data ingestion and processing workflows for

text and unstructured data , including methods for

vectorisation

and

populating vector databases

to support

Retrieval-Augmented Generation (RAG) architectures . Core Data Engineering :

Build and maintain robust

ELT / ETL processes

within

Snowflake

and

AWS

to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence. MLOps Partnership :

Collaborate closely with ML Engineers to

operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow) , focusing on automating pipelines and managing

data versioning . Query and Compute Efficiency :

Optimize data storage and computing resources across the platform to

speed up data science experiments and model training workloads , while managing costs effectively. Data Security and Compliance :

Implement advanced security measures to safeguard sensitive data used in

AI datasets , maintaining data integrity and confidentiality in line with governance standards. Required Skills and Experience

Essential Skills : (Dual Focus) Data Engineering Expertise (5+ Years) :

Extensive experience in a core Data Engineering role, including

5+ years

working with

Snowflake

and strong skills in

SQL

and

Python

for data manipulation and engineering. Data Science Enablement :

Demonstrated experience

building and optimizing data pipelines specifically for Machine Learning model training and deployment

(e.g., feature engineering, time-series data handling, complex schema management). Cloud Computing :

Solid practical experience with

AWS

services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions. Distributed Processing :

Familiarity with

distributed computing frameworks

such as

Dask

for large-scale data transformation. Data Security :

Strong knowledge of

RBAC security models

and secure data connection protocols. Communication :

Excellent communication and teamwork skills, with a proven history of effective collaboration with

Data Science and Business teams . Preferred Qualifications : (AI / ML Specialization)

MLOps / MLOps Platforms :

Hands-on experience integrating data systems with

MLOps platforms (e.g., MLflow, Amazon SageMaker)

for production model deployment. Generative AI Data :

Experience with

vector databases (e.g., Pinecone, ChromaDB)

and familiarity with data preparation for

LLMs

and

RAG architectures . Feature Store Expertise :

Practical or theoretical knowledge of

Feature Stores

(e.g., Feast, Tecton) and their role in the ML lifecycle. Advanced Data Orchestration :

Experience with modern orchestrators like

Prefect, or Dagster

for managing complex, data-science-focused workflows. Experience with

Cortex AI

or comparable cloud AI tools. Certifications in Snowflake, AWS Data Analytics, or related areas. #LI-USA 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. 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. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference. 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 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 : 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 S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, or for 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.

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