diff --git a/CHANGELOG.md b/CHANGELOG.md
index eff67b71..7319acd2 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -11,6 +11,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
 ### Changed
 
 ### Fixed
+* Fixed `uniform` to return a Python `float` for scalar bounds with `size=None` instead of a 0-d array [gh-167](https://github.com/IntelPython/mkl_random/pull/167)
 
 ## [1.5.0] (08/12/2026)
 
diff --git a/mkl_random/mklrand.pyx b/mkl_random/mklrand.pyx
index edbcd400..373d16e4 100644
--- a/mkl_random/mklrand.pyx
+++ b/mkl_random/mklrand.pyx
@@ -2471,7 +2471,7 @@ cdef class _MKLRandomState:
 
         Returns
         -------
-        out : ndarray
+        out : ndarray or scalar
             Drawn samples, with shape `size`.
 
         See Also
@@ -2534,14 +2534,14 @@ cdef class _MKLRandomState:
             if flow >= fhigh:
                 raise ValueError("low >= high")
 
-                return vec_cont2_array_sc(
-                    self.internal_state,
-                    irk_uniform_vec,
-                    size,
-                    flow,
-                    fhigh,
-                    self.lock
-                )
+            return vec_cont2_array_sc(
+                self.internal_state,
+                irk_uniform_vec,
+                size,
+                flow,
+                fhigh,
+                self.lock
+            )
 
         if not np.all(np.isfinite(olow)) or not np.all(np.isfinite(ohigh)):
             raise OverflowError("Range exceeds valid bounds")
diff --git a/mkl_random/tests/test_random.py b/mkl_random/tests/test_random.py
index 4e74d769..671dcd56 100644
--- a/mkl_random/tests/test_random.py
+++ b/mkl_random/tests/test_random.py
@@ -1142,6 +1142,27 @@ def test_uniform_range_bounds():
     rnd.uniform(low=fmin, high=fmax / 1e17)
 
 
+@pytest.mark.parametrize(
+    "low, high",
+    [
+        (0.0, 1.0),
+        (np.float64(0.0), np.float64(1.0)),
+        (np.array(0.0), np.array(1.0)),
+    ],
+)
+def test_uniform_return_type(low, high):
+    val = rnd.uniform(low, high)
+    assert np.isscalar(val), f"expected a scalar, got {type(val)}"
+    assert isinstance(val, float)
+    assert 0.0 <= val < 1.0
+
+
+def test_uniform_array_bounds_return_ndarray():
+    arr = rnd.uniform([0.0, 10.0], [1.0, 11.0])
+    assert isinstance(arr, np.ndarray)
+    assert arr.shape == (2,)
+
+
 def test_randomdist_vonmises(randomdist):
     rnd.seed(randomdist.seed, brng=randomdist.brng)
     actual = rnd.vonmises(mu=1.23, kappa=1.54, size=(3, 2))