Data Scientist, Product - Data Solutions

Key Skills

AWS, BERT, GPT, HuggingFace, Large Language Models - LLMs, Natural language generation- NLG, Natural Language Processing (NLP), PyTorch, SQL, TensorFlow, Transformer

Job Description

About the Role:

Grade Level (for internal use):

The Team: You will become a member of the Data Solutions group. We provide solutions to all stakeholders across multiple products. Our key clients are the Tier-1 Custodians, Asset Managers and Investment Banks. We see growth in providing solutions to asset managers, wealth managers and other stake holders in the capital markets space.

The Impact: You will be part of a team that develops innovative solutions,

derives actionable insights from data, which helps drive the client engagement and business. The candidate would be a critical part of data science and automation projects which will add value and propel the analysis and research of this critical team. The solutions you will work on will enhance the existing products and provide actionable intelligence to our clients.

What’s in it for you: 

Exposure to latest technologies in the space of data analytics & science, Gen AI.

Develop data and analytical skills.

Opportunities to work on cross-team initiatives and collaborative projects.  

What you will work on:

• Automate processes and workflows using Python

• Develop and optimize natural language processing (NLP/NLG) models.

• Derive value and insights from large datasets to enable business decisions and strategy.

• Collaborate with cross-functional teams to integrate NLP/LLM solutions into existing products.

• Handle large amounts of data from multiple and disparate sources.

• Analyze the data and the results to ensure data quality, statistical relevance, etc. with a critical mindset.

• Establish necessary business and domain knowledge to correctly interpret data and results.

• Bring analytical rigor and statistical methods to the challenges of measuring data quality, product performance, anticipating and interpreting the behavior of end-user.

Who you are:

• Hands on project lifecycle experience, from business analysis to productization

• Strong programming skills in Python including experience with libraries such as TensorFlow, PyTorch and Hugging Face transformers.

• Proven experience in developing NLP/NLG models

• Deep understanding of machine learning principles and NLP techniques

• Experience working with large language models (LLMs) like GPT, BERT etc

• Familiarity with cloud platforms (like AWS) for model deployment and scaling

• Experience with data extraction with SQL etc.

• Able to translate business problems into problems that can be solved with Data Science

• Ability to communicate ideas and analysis results effectively both verbally and in writing to a non-technical audience.

• Bachelor of Science or certified in a quantitative discipline (e.g., Computer Science, Data Science, Statistics, etc.)

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: https://spgbenefits.com/benefit-summaries

Diversity, Equity, and Inclusion at S&P Global:

At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.

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.