Lead Data Scientist
12
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 production
- Actively research, explore and identify the latest relevant techniques
- Identify opportunities for innovation across the Market Intelligence division and company-wide
- Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability
- Guide and mentor junior data scientists on technical subjects
- Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 6+ years of professional experience in Data Science / Machine Learning / Quant, including in the Financial Services sector
- Hands on project lifecycle experience, from business requirements gathering to testing production release
- Strong 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 task involving text
- Ability to quickly acquire new technical skills
- Experience of working with large and complex data sets and distributed computing
- Good understanding of mathematical foundations of Machine Learning approaches
- Able to translate business problems into problems that can be solved with Data Science
- Strong communication and data science project leadership skills
- Good familiarity with recent developments in GenAI and LLMs
- Econometrics / Financial Engineering background
- Time series modelling
- Revenue and other company financials modelling
- Cloud (AWS, GCP, Azure)
- Experience with model visualization and explainability
- 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.
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