[step:Define the averaged form $\langle \cdot, \cdot \rangle$ and verify sesquilinearity]
Define
\begin{align*}
\langle \cdot, \cdot \rangle: V \times V &\to \mathbb{C} \\
(\mathbf{v}, \mathbf{w}) &\mapsto \frac{1}{|G|} \sum_{g \in G} (g\mathbf{v},\, g\mathbf{w}).
\end{align*}
The sum is finite because $G$ is finite; the division by $|G|$ is permissible because $\operatorname{char} \mathbb{C} = 0$.
We verify sesquilinearity. Fix $\mathbf{w} \in V$ and let $\mathbf{v}_1, \mathbf{v}_2 \in V$, $\alpha, \beta \in \mathbb{C}$. Each $g \in G$ acts $\mathbb{C}$-linearly on $V$ (this is part of the definition of a representation), so $g(\alpha \mathbf{v}_1 + \beta \mathbf{v}_2) = \alpha (g\mathbf{v}_1) + \beta (g\mathbf{v}_2)$. Linearity of $(\cdot, \cdot)$ in its first argument then gives
\begin{align*}
(g(\alpha \mathbf{v}_1 + \beta \mathbf{v}_2),\, g\mathbf{w}) = \alpha (g\mathbf{v}_1, g\mathbf{w}) + \beta (g\mathbf{v}_2, g\mathbf{w}).
\end{align*}
Summing over $g \in G$ and dividing by $|G|$,
\begin{align*}
\langle \alpha \mathbf{v}_1 + \beta \mathbf{v}_2, \mathbf{w} \rangle = \alpha \langle \mathbf{v}_1, \mathbf{w} \rangle + \beta \langle \mathbf{v}_2, \mathbf{w} \rangle.
\end{align*}
Conjugate-linearity in the second argument is identical, using conjugate-linearity of $(\cdot, \cdot)$ in its second argument. Hermitian symmetry $\langle \mathbf{w}, \mathbf{v} \rangle = \overline{\langle \mathbf{v}, \mathbf{w} \rangle}$ follows by taking conjugates inside the sum.
[/step]