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
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