About the Role: Grade Level (for internal use): 05 The Role: Data Science Intern- NLP, LLM and GenAI The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an intern interested in ML and NLP/Gen AI/ LLM to gain real-world experience that will benefit them in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas. Responsibilities: <ol> <li>ML, Gen AI, NLP, LLM Model Development: Design and develop custom ML, Gen AI, NLP, LLM Models for batch and stream processing-based AI ML pipelines. Model components will include data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering and ensure the solution meets all technical and business requirements. Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions.</li> <li>ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.</li> <li>NLP, LLM, Gen AI Model Deployment: Work closely with the MLOps team for the deployment of machine learning models into production environments, ensuring reliability and scalability.</li> <li>Documentation: Write and Maintain comprehensive documentation of ML modeling processes and procedures for reference and knowledge sharing.</li> <li>Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.</li> <li>Assist in Problem Solving: Troubleshoot complex issues related to machine learning model development and data pipelines and develop innovative solutions.</li> </ol> What We're Looking For: Basic Required Qualifications: <ul> <li>Working towards a Bachelors or Masters degree in a technical field of study in Engineering, Computer Science, Computer Engineering, Management Information Systems, or IT</li> <li>Anticipated graduation date in Fall 2024 or Spring 2025</li> <li>Strong data manipulation skills required including cleaning and handling data</li> <li>Experience using Python, and Java</li> <li>Willingness to work with unstructured, messy data</li> <li>Excellent communication skills</li> </ul> Additional Preferred Qualifications: <ul> <li>An aptitude to learn and adapt quickly in a rapidly changing environment</li> <li>Intellectual curiosity and desire to learn new things, techniques, and technologies</li> <li>The ability to build strong working relationships in a collaborative setting</li> <li>Hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.</li> <li>Demonstrated hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools. Expert in python programming.</li> <li>Hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.</li> <li>Knowledge of information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.</li> </ul> About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions. 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: <ul> <li>Health & Wellness: Health care coverage designed for the mind and body.</li> <li>Flexible Downtime: Generous time off helps keep you energized for your time on.</li> <li>Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.</li> <li>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.</li> <li>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.</li> <li>Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.</li> </ul> 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. 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.
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Overview

This position is intended for students in a degree-seeking program to which they will return to school at the end of the summer internship in 2025, with a graduation date of Winter 2025 or later. If you do not meet these minimum criteria, please revisit our careers site for other opportunities. **

Want to apply your technical skills and innovative ideas on top of the collective financial data of 100+ million consumers and small businesses, and help build data products (in TurboTax, QuickBooks, and Credit Karma) that solve real-world customer problems and power prosperity around the world?

Intuit is seeking Data Science Interns to join us this Summer (2025). Working side-by-side with Intuit's Data Scientists and Machine Learning Engineers – along with Data Analysts, Software Engineers, and product managers – you will help us understand and improve customer experiences with our products by uncovering critical insights and developing machine learning models.

Areas we are exploring:

Times series forecasting

Knowledge Engineering

Reinforcement Learning/Bandits/Causal Inference

Image/document understanding

Intent classification

NLP/NLU/NLG

Conversational UI, Chatbots

Personalization and recommendation

Deep learning

Semi-supervised learning

ML services (autoML, feature recommendation, explainable AI, etc)

What you'll bring

Must be currently enrolled in a degree seeking program and return to school after internship is complete

Familiar with machine learning techniques (regression, classification, clustering, optimization, etc) and understand their mathematical foundations

Ability to explore, discover and import data from multiple sources and make them machine learning ready

Design and test hypotheses about causes and cures

Strong programming skills (Python and Scala preferred)

Excellent communication skills and ability to learn fast

Experience in developing machine learning solutions to solve real-world problems is a plus

Experience with Hadoop or Spark is a plus

“The pay range for this position is: $35.20 - $54.20 (per hour), and varies based on education and location”

How you will lead

Sample intern projects from previous years:

Adversarial Deep Learning ranking algorithms for question-answer forums

Use topic modeling to link form lines to verbose instruction/publication documents

Patch-based information extraction using an unsupervised form segmentation algorithm

Assess agent call quality using call transcript data

Apply deep learning for transaction time series forecasting with uncertainty estimation

Explore active learning to improve the event labels used to train our supervised models

Predict cognitive biases using financial data

A Deep-Learning Approach to building Temporal Recommendation Models

Real-Time Churn Prediction Models

Developing an unsupervised knowledge acquisition for question answering with Pre-trained Language Models

Developing a customer intent classifier model for Intuit Digital Assistant

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. This is a 12-week internship during summer 2025. As a part of the Strategy, Execution, & Analytics team, you'll spend part of your time collaborating closely with business partners in product and engineering teams - to ensure we're focused on the biggest opportunities and interpreting our data correctly. You'll also work with the data engineering team to build analytics models and systems that help scale our insights more broadly, both throughout the company and directly in the product. We expect you to demonstrate clear communication, a strong desire to execute, and best-in-class craftsmanship. What you'll be doing (ie. job duties): <ul> <li>Collaborate with product teams to create analyses and build models to drive positive business impact. </li><li>Assist in designing and conducting experiments. </li><li>Support the team in measuring business performance and help refine core metrics. </li><li>Practice data-driven storytelling, distilling complex analyses into clear, actionable insights. </li><li>Participate in analytical deep dives alongside senior team members to understand and address complex business problems. </li><li>Assist in the development and maintenance of data pipelines, ensuring data integrity and accuracy. </li></ul>What we look for in you (ie. job requirements): <ul> <li>Some experience or coursework in statistical modeling, data analysis, or other related quantitative field (e.g., hard science, economics, math, etc.). </li><li>Basic understanding of statistical concepts and a keen interest in furthering this knowledge (in A|B testing, causal inference, ML, etc.). </li><li>Familiarity with data analysis using SQL. </li><li>Some experience or coursework in programming/modeling, preferably in Python. </li><li>An embodiment of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. </li></ul>Nice to haves: <ul> <li>Currently pursuing a degree or certificate in Math, Stats, Physics, Computer Science or a related discipline. </li><li>Exposure or interest in data engineering. </li><li>Eagerness to delve into varying levels of data work to understand and improve foundational data structures. </li></ul> Position ID: G2602 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $50-$50 USD Commitment to Equal Opportunity Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here.

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