Pandas, an indispensable library in the data scientist's toolkit, offers robust indexing capabilities which are integral for data manipulation and retrieval.

• Efficiency: Fast data access and manipulation is often dependent on smart indexing strategies, especially for larger datasets.

• Flexibility: Whether it's basic row/column labels, hierarchical labels, or even date-time based indexing, Pandas has got you covered.

• Readability: Descriptive indexing can render the code more intuitive and easier to follow, thereby streamlining the data exploration phase.

A solid grasp of indexing techniques, inclusive of multi indexing, can expedite tasks such as data retrieval, aggregation, and restructuring.