diff --git a/narwhals/_pandas_like/series.py b/narwhals/_pandas_like/series.py
index fe5eb1f3b..17e6f8916 100644
--- a/narwhals/_pandas_like/series.py
+++ b/narwhals/_pandas_like/series.py
@@ -18,6 +18,7 @@
 from narwhals._pandas_like.utils import select_columns_by_name
 from narwhals._pandas_like.utils import set_axis
 from narwhals._pandas_like.utils import to_datetime
+from narwhals.dependencies import is_numpy_scalar
 from narwhals.utils import Implementation
 from narwhals.utils import import_dtypes_module
 
@@ -112,7 +113,7 @@ def __getitem__(self, idx: int) -> Any: ...
     def __getitem__(self, idx: slice | Sequence[int]) -> Self: ...
 
     def __getitem__(self, idx: int | slice | Sequence[int]) -> Any | Self:
-        if isinstance(idx, int):
+        if isinstance(idx, int) or is_numpy_scalar(idx):
             return self._native_series.iloc[idx]
         return self._from_native_series(self._native_series.iloc[idx])
 
diff --git a/narwhals/dependencies.py b/narwhals/dependencies.py
index 463a64a67..b3d0dafdc 100644
--- a/narwhals/dependencies.py
+++ b/narwhals/dependencies.py
@@ -220,6 +220,11 @@ def is_numpy_array(arr: Any) -> TypeGuard[np.ndarray]:
     return (np := get_numpy()) is not None and isinstance(arr, np.ndarray)
 
 
+def is_numpy_scalar(scalar: Any) -> TypeGuard[np.generic]:
+    """Check whether `scalar` is a NumPy Scalar without importing NumPy."""
+    return (np := get_numpy()) is not None and np.isscalar(scalar)
+
+
 def is_pandas_like_dataframe(df: Any) -> bool:
     """Check whether `df` is a pandas-like DataFrame without doing any imports.
 
diff --git a/narwhals/series.py b/narwhals/series.py
index 2846aebea..d78ec945e 100644
--- a/narwhals/series.py
+++ b/narwhals/series.py
@@ -11,6 +11,7 @@
 from typing import TypeVar
 from typing import overload
 
+from narwhals.dependencies import is_numpy_scalar
 from narwhals.dtypes import _validate_dtype
 from narwhals.typing import IntoSeriesT
 from narwhals.utils import _validate_rolling_arguments
@@ -67,7 +68,7 @@ def __getitem__(self: Self, idx: int) -> Any: ...
     def __getitem__(self: Self, idx: slice | Sequence[int]) -> Self: ...
 
     def __getitem__(self: Self, idx: int | slice | Sequence[int]) -> Any | Self:
-        if isinstance(idx, int):
+        if isinstance(idx, int) or is_numpy_scalar(idx):
             return self._compliant_series[idx]
         return self._from_compliant_series(self._compliant_series[idx])
 
diff --git a/tests/series_only/scalar_index_test.py b/tests/series_only/scalar_index_test.py
new file mode 100644
index 000000000..21c9a10ba
--- /dev/null
+++ b/tests/series_only/scalar_index_test.py
@@ -0,0 +1,12 @@
+from __future__ import annotations
+
+import narwhals.stable.v1 as nw
+
+np = nw.dependencies.get_numpy()
+pd = nw.dependencies.get_pandas()
+
+
+def test_index() -> None:
+    s = pd.Series([0, 1, 2])
+    snw = nw.from_native(s, series_only=True)
+    assert snw[snw[0]] == np.int64(0)