  Within the mature field of Anderson transitions, the critical properties of
the integer quantum Hall transition still pose a significant challenge.
Numerical studies of the transition suffer from strong corrections to scaling
for most observables. In this work, we suggest to overcome this problem by
using the longitudinal conductance $g$ of the network model as the scaling
observable, which we compute for system sizes nearly two orders of magnitude
larger than in previous studies. We show numerically that the sizeable
corrections to scaling of $g$ can be included in a remarkably simple form which
leads to an excellent scaling collapse. Surprisingly, the scaling function
turns out to be indistinguishable from a Gaussian. We propose a
cost-function-based approach, and estimate $\nu=2.607(8)$, consistent with
previous results, but considerably more precise than in most works on this
problem. Extending previous approaches for Hamiltonian models, we also confirm
our finding using integrated conductance as a scaling variable.
