S&P Global is looking for a Data Scientist who will be a part of our Data Science and Modelling team. The ideal candidate should be highly motivated and goal-oriented, with an encouraging attitude of working in a very dynamic work environment with a wide range of stakeholders and functional teams.
Requirements
- 5+ years of programming experience particularly in Python
- 4+ years of experience working with SQL or NoSQL databases
- University degree in Computer Science, Engineering, Mathematics, or related disciplines
- Strong understanding of big data technologies such as Hadoop, Big data processing engines, or Distributed streaming platform
- Demonstrated ability to design and implement end-to-end scalable and performant data pipelines
- Experience with workflow management platforms like Airflow
- Strong analytical and problem-solving skills
- Ability to collaborate and communicate effectively with both technical and non-technical stakeholders
- Experience building solutions and working in the Agile working environment
- Experience working with git or other source control tools
- Machine learning/Data Science experience
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
