We present a new data-driven turbulence model for Reynolds-averaged Navier-Stokes equations called \(\nu _t\) -Vector Basis Neural Network. This new model, grounded on the already existing Vector Basis Neural Network, predicts separately the turbulent viscosity \(\nu _t\) and the contribution of the Reynolds force vector that is not already accounted in \(\nu _t\) . Numerical experiments show the better accuracy of the new model compared to the reference one.