Data Scientist at S&P Global

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine learning, TensorFlow, PyTorch, Scikit-learn, AWS, Azure, Google Cloud Platform, Apache Spark, Pandas, Natural language processing, Information retrieval, MLOps, Kubeflow, Docker, Kubernetes

Industry

Financial Services

Description

About the Role: Grade Level (for internal use): 09 The Team: The Collection Platforms & AI team focuses on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global 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 global team and encouraged for thoughtful risk-taking and self-initiative. Responsibilities and Impact: Design and develop scalable machine learning models and AI systems for natural language understanding and data extraction applications Build and maintain production-ready AI pipelines and infrastructure to support real-time data processing and model deployment Lead the development of information retrieval systems that enhance data sourcing capabilities for S&P Global's platforms Collaborate with cross-functional teams to translate business requirements into technical AI solutions and product features Drive innovation in ML methodologies while ensuring robust testing, monitoring, and optimization of AI models in production Mentor team members and contribute to technical decision-making processes that shape the future of AI products at S&P Global What We're Looking For: Basic Required Qualifications: Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related technical field 3+ years of experience developing and deploying machine learning models in production environments Strong programming skills in Python and experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for ML model deployment and scaling Proficiency in data processing technologies including but not limited to Apache Spark, Pandas, or similar data manipulation tools Strong understanding of natural language processing techniques and information retrieval systems Additional Preferred Qualifications: Experience with MLOps tools and practices such as MLflow, Kubeflow, or similar model lifecycle management platforms Knowledge of containerization technologies such as Docker, Kubernetes, or OpenShift for model deployment Experience with big data technologies and distributed computing frameworks for large-scale data processing Previous experience in financial services, data analytics, or enterprise software development environments What’s In It For You? Our Mission: Advancing Essential Intelligence. 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. Join us and help create the critical insights that truly make a difference. Our Values: Integrity, Discovery, Partnership 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 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 reportfraud@spglobal.com. 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. ----------------------------------------------------------- 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. If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning) S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

Responsibilities

Design and develop scalable machine learning models and AI systems for natural language understanding and data extraction. Lead the development of information retrieval systems and collaborate with cross-functional teams to deliver technical AI solutions.