Type:
Permanent employment
Location:
Amstelveen
Education:
Associate degree (EQF 5), Bachelor (EQF 6)
Published:
03/11/2021
Status:
Open
Apply before:
22/12/2021
Hours p/wk:
40

Description:

Natural Language Processing (NLP) Senior Consultant

Daní is a young and growing department with diverse skill sets, collaborating to shape the digitalisation and future of KPMG. Our technological solutions are developed by passionate professionals who want to deliver value in a new context, in which we connect business understanding with the latest technological capabilities. You can see Daní as a scaleup company in the audit & assurance domain within KPMG. 

 

Your challenges

  • Building OCR Templates/Solutions
  • Reviewing OCR based solutions deliverables
  • Manage client expectations and client relationships
  • Writing or reviewing functional and technical specifications
  • Collaborating with onshore and offshore teams

This is you

  • Minimum 3-7 years working experience
  • HBO education, preferably with business education background
  • Analytically strong and affinity with IT
  • Knowledge of Alteryx
  • Eager to learn/develop yourself in the field of OCR

Your role

We bring the latest innovations to our portfolio of products such as NLP (Natural Language Processing), OCR, RPA, Analytics Automation and creative data (science) skills. We provide strategic, tactical and operational support to audit teams to optimise the use and deployment of IT and further improve its effectiveness. We deliver tangible, innovative results of the highest quality to our clients.

Your role would involve developing and deploying solutions (based on OCR, PowerBI and Alteryx technologies) to our audit engagement teams, in addition to facilitating the delivery of these solutions to our audit engagement teams. This would also include reviewing the work of junior team members, providing training on the job and translating customer needs into new solutions and or features.

 

What we offer

  • A competitive salary
  • 30 days of holiday leave
  • Flexibility in employment terms & conditions
  • Laptop and iPhone (also for private use)
  • A non-contributory pension plan
  • A lease car
  • Discounts on insurances and gym membership

 

 
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