You will need to first create a new job in the Azure management portal (https://msdn.microsoft.com/en-us/library/azure/dn495651.aspx), where you can configure the URL and the HTTP method to POST, and specify the body. However, the initial configuration screens don't let you add any headers, so once you have created the job, go in and edit it to add the following headers:
Content-Type: application/json
Accept: application/json
Authorization: Bearer
This will work, but am wondering if this actually serves your purpose. If you're calling the synchronous (request response) endpoint of the AzureML service, you need to specify the inputs in the request payload, which is statically configured with the Azure Scheduler job. So you will effectively be repeating the same call over and over again. You may also want to explore Azure Data Factory if your needs are served by calling the asynchronous (batch) endpoint of the AzureML service.
