About the role
Develop, optimize, and implement algorithms using Python, particularly for optimization problems using PuLP.
Work with large datasets using Pandas and NumPy to perform data manipulation, analysis, and visualization.
Develop and maintain clean, efficient, and well-documented Python code.
Conduct performance tuning and optimization of algorithms to improve efficiency and scalability.
Provide technical support, troubleshooting, and enhancements for deployed solutions.
Stay updated with the latest Python libraries, tools, and best practices relevant to optimization and data processing.
Strong proficiency in Python with hands-on experience in PuLP, NumPy, and Pandas.
Experience in mathematical optimization, linear programming, and data modelling.
Ability to analyze, interpret, and translate business requirements into technical solutions.
Experience working with structured and unstructured data.
Strong problem-solving skills and the ability to work independently or collaboratively within a team.
Excellent communication skills to interact with clients and stakeholders effectively.
