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IPA / RPA Developer

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

IPA / RPA Developer Tasks

  • Providing the technical know-how that underpins the delivery of client projects
  • Creating out-of-the-box solutions to client problems through the use of automated solutions
  • Identifying innovative use cases for intelligent automation tooling to market to new clients
  • Working with colleagues to shape the scope, approach and structure of projects
  • Understanding end user needs and requirements
Benefits
  • Extensive training opportunities
  • Structured career progression - at Reply we encourage quick career growth and will give you the tools and guidance to achieve subject matter expertise and management capabilities
  • Diverse and vibrant environment - you will be surrounded by peers who share your passion for technology and innovation
  • We offer a competitive salary, bonus and leave package as well as optional involvement in Reply activities
Qualifications
  • Experience in agile development - including understanding user needs, building proof of value Alphas, evolving end state solutions and managing in-life operations
  • Experience with Robotic/Intelligent Process Automation tooling
  • Experience with Conversational/Experience tooling
  • Experience with Node.js / React development
  • Excellent written communication skills and the ability to present and deliver outcomes which are compelling, accurate, and engaging both to clients and in support of our business development and work winning activities
About Sprint ReplySprint Reply is the Reply Group company specialised in Intelligent Process Automation. Our mission is to create automation platforms capable of solving concrete business problems, supporting our customers in the transformation towards the Intelligent Enterpriseand the adoption of a scalable and efficient Digital Workforce. In Sprint Reply we combine an execution oriented engineering approach with strong experiences on 4 technology families, Robotic Process Automation, Computer Vision & ICR, AI & Machine Learningand Process Mining, dedicating constant attention to R&D on various Artificial Intelligence issues

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