Senior Data Scientist

S&P Global; United States; Remote; USD 80,000 - 140,000; Full time

Job summary

An established industry player is seeking a talented Data Scientist to join their innovative Capital IQ Solutions team. This role offers a unique opportunity for professionals with expertise in Machine Learning and Natural Language Processing to make a significant impact by developing advanced models and algorithms that leverage extensive data. You'll lead product development initiatives, conduct cutting-edge research, and collaborate with various stakeholders to drive business value. If you're passionate about technology and eager to contribute to transformative solutions, this position is a perfect fit for you.

Benefits

Health care coverage

Generous time off

Access to learning resources

Retirement planning

Student loan contribution

Family-friendly benefits

Retail discounts

Referral incentive awards

Qualifications

• 3+ years of experience in Data Science/Machine Learning, especially in Financial Services.
• Hands-on experience with Python and SQL for data-driven projects.

Responsibilities

• Develop models and algorithms to provide actionable insights to clients.
• Lead end-to-end product development from concept to productization.

Skills

Machine Learning

Natural Language Processing (NLP)

Python

SQL

Data Science

Deep Learning

Statistical Analysis

Econometrics

Education

Bachelor's degree in a relevant field

Master's degree in Data Science or related field

Tools

GitHub

AWS

GCP

Azure

Job description

About the Role:

Grade Level (for internal use): 10

The Team:

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning, Gen AI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas.

Responsibilities and Impact:

• Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients.
• Lead data science product development start to end from PoC to full productization.
• Actively research, explore and identify the latest relevant techniques.
• Identify opportunities for innovation across the Market Intelligence division.
• Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability.

What We’re Looking For:

• 3+ years of professional experience in Advanced Analytics / Data Science / Machine Learning / Quant, including in the Financial Services sector.
• Hands-on project lifecycle experience, from business requirements gathering to productization.
• Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines.
• Experience working with databases and SQL.
• Experience using Language Models to solve a range of predictive tasks involving text.
• Ability to quickly acquire new technical skills.
• Experience of working with large data sets and distributed computing.
• Good understanding of mathematical foundations of Machine Learning models.
• Able to translate business problems into problems that can be solved with Data Science.

Preferred Qualifications:

• Good familiarity with recent developments in GenAI and LLMs.
• Econometrics / Financial Engineering background.
• Time series modelling.
• Cloud (AWS, GCP, Azure).
• Experience with model visualization and explainability.

About S&P Global Market Intelligence:

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

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 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

Benefits:

• 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

Inclusive Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent.

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.