Lead Data Scientist building GenAI - driven products and ML solutions for S&P Global. Mentoring team members and delivering high - impact projects in a global environment.
About the role
- Data Scientist developing and deploying machine learning models and data solutions for Collinson's global operations. Collaborating across departments to deliver data-driven insights and mentoring junior staff.
Responsibilities
- Building and deploying machine learning models (supervised & unsupervised)
- Designing and maintaining scalable data science pipelines
- Rapid prototyping of ideas and transforming PoCs into enterprise-ready tools
- Exploring structured and unstructured data (customer, transactional, pricing, text, etc.)
- Managing cloud infrastructure (primarily AWS) and working with modern ML tools
- Delivering clear, insightful reports and presentations to internal and external stakeholders
- Mentoring junior data scientists and supporting team growth and excellence
Requirements
- Expertise in Python (NumPy, pandas, scikit-learn) and SQL
- Experience with EDA, data wrangling, and visualization tools (e.g., Matplotlib, Plotly, BI tools)
- Ability to build, evaluate, and deploy ML models (REST APIs, batch jobs, FastAPI, etc.)
- Experience operating in cloud environments (AWS preferred) using Docker and Git workflows
- Strong foundation in statistics, machine learning, and experimental design
- Proven ability to communicate technical solutions clearly to non-technical stakeholders
Benefits
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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