Junior Software Developer - London, United Kingdom - eFinancialCareers

Tom O´Connor

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Tom O´Connor

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Description

Junior Software Developer - Intelligent Automation

Tasks:


  • Understanding technical design specifications and translating them into implementation details
  • Providing the technical knowhow that underpins the delivery of client projects
  • Creating outofthebox 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
  • Support the accelerated growth of the organisation by helping to develop new propositions, creating use cases for intelligent automation tools, acquiring new clients and supporting business development as well as delivering projects

Benefits:


  • Extensive training opportunities
  • 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
  • Flexible hybrid working

Qualifications:


  • Computer Science/IT based degree required (min 2.1 grade)
  • A bility 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
  • Initial knowledge of agile development including understanding user needs, building proof of value Alphas, evolving end state solutions and managing inlife operations
  • Keen interest in intelligent automation and RPA

About Sprint Reply
Sprint 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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