diff --git a/doc/reference/dtype.rst b/doc/reference/dtype.rst
index 29607c52fc8a..e76ede1c8c31 100644
--- a/doc/reference/dtype.rst
+++ b/doc/reference/dtype.rst
@@ -44,7 +44,6 @@ Data type testing
    dpnp.issubdtype
    dpnp.issubsctype
    dpnp.issubclass_
-   dpnp.find_common_type
 
 Miscellaneous
 -------------
diff --git a/dpnp/dpnp_utils/dpnp_algo_utils.pxd b/dpnp/dpnp_utils/dpnp_algo_utils.pxd
index cd5415f68675..39e3c1f4967c 100644
--- a/dpnp/dpnp_utils/dpnp_algo_utils.pxd
+++ b/dpnp/dpnp_utils/dpnp_algo_utils.pxd
@@ -90,12 +90,6 @@ Returns a tuple of:
 2. dtype
 """
 
-cpdef find_common_type(object x1_obj, object x2_obj)
-"""
-Find common type of 2 input objects
-"""
-
-
 cpdef long _get_linear_index(key, tuple shape, int ndim)
 """
 Compute linear index of an element in memory from array indices
diff --git a/dpnp/dpnp_utils/dpnp_algo_utils.pyx b/dpnp/dpnp_utils/dpnp_algo_utils.pyx
index 15451cda500b..7ce6ccbf7bd6 100644
--- a/dpnp/dpnp_utils/dpnp_algo_utils.pyx
+++ b/dpnp/dpnp_utils/dpnp_algo_utils.pyx
@@ -432,26 +432,6 @@ cdef tuple get_shape_dtype(object input_obj):
     return (return_shape, dpnp.dtype(type(input_obj)))
 
 
-cpdef find_common_type(object x1_obj, object x2_obj):
-    _, x1_dtype = get_shape_dtype(x1_obj)
-    _, x2_dtype = get_shape_dtype(x2_obj)
-
-    cdef list array_types = []
-    cdef list scalar_types = []
-
-    if dpnp.isscalar(x1_obj):
-        scalar_types.append(x1_dtype)
-    else:
-        array_types.append(x1_dtype)
-
-    if dpnp.isscalar(x2_obj):
-        scalar_types.append(x2_dtype)
-    else:
-        array_types.append(x2_dtype)
-
-    return numpy.find_common_type(array_types, scalar_types)
-
-
 cdef shape_type_c get_common_shape(shape_type_c input1_shape, shape_type_c input2_shape) except *:
     cdef shape_type_c input1_shape_orig = input1_shape
     cdef shape_type_c input2_shape_orig = input2_shape