diff --git a/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/SANSFitShiftScale.py b/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/SANSFitShiftScale.py
index 55860c4749f188ebf41cf373d946a06a759eb9af..44bd88d2c05df90ce206b190c0c61451a2e0abd6 100644
--- a/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/SANSFitShiftScale.py
+++ b/Framework/PythonInterface/plugins/algorithms/WorkflowAlgorithms/SANSFitShiftScale.py
@@ -150,11 +150,10 @@ class SANSFitShiftScale(DataProcessorAlgorithm):
         y_model = front_data_corrected.dataY(0)
         y_data = rear_data_corrected.dataY(0)
         if any([np.isnan(element) for element in y_model]) or any([np.isnan(element) for element in y_data]):
-            raise RuntimeError("Trying to merge two merge the two reduced data sets for HAB and LAB failed. "
+            raise RuntimeError("Trying to merge the two reduced data sets for HAB and LAB failed. "
                                "You seem to have Nan values in your reduced HAB or LAB data set. This is most likely "
                                "caused by a too small Q binning. Try to increase the Q bin width.")
 
-        fit = self.createChildAlgorithm('Fit')
         # We currently have to put the front_data into the ADS so that the TabulatedFunction has access to it
         front_data_corrected = AnalysisDataService.addOrReplace('front_data_corrected', front_data_corrected)
         front_in_ads = AnalysisDataService.retrieve('front_data_corrected')
@@ -162,6 +161,7 @@ class SANSFitShiftScale(DataProcessorAlgorithm):
         function = 'name=TabulatedFunction, Workspace="' + str(
             front_in_ads.name()) + '"' + ";name=FlatBackground"
 
+        fit = self.createChildAlgorithm('Fit')
         fit.setProperty('Function', function)
         fit.setProperty('InputWorkspace', rear_data_corrected)