Location UK / Belfast
Job Type Permanent full-time, TemporaryContract
Salary See description
Updated 3 days ago
PwC are seeking graduates or those with some technical experience who wish to train and transition into an automation and Robotic Process Automation (RPA) skill set.
A career in Client Implementation and Execution, within Client Service Support services, will provide you with the opportunity to help our clients transform their customer service and engagements from cost centres into revenue generating businesses across all PwC lines of service. In joining, you’ll help clients develop and implement a customer service and engagement strategy that is aligned with their customer experience strategy, enhancing customer engagement while lowering costs, and optimising operations to ensure they are getting the most value possible.
PwC’s Operate business delivers large operational and managed service solutions for clients to meet regulatory, risk and compliance challenges.
With over 1,000 staff deployed on large implementation and execution programmes Operate brings together top talent with a distinctive mix of knowledge and skills. We support clients by providing staff augmentation services, delivering large scale operational programmes and managed solutions. We deliver our client work from a range of locations, providing our clients with cost-effective delivery, access to subject matter expertise and operational excellence disciplines for some of the biggest brands worldwide.
PwC are seeking graduates or those with some technical experience who wish to train and transition into an automation and Robotic Process Automation (RPA) skill set. Ideally suited to those who are technically minded and with a logical and detail-oriented mindset. A technology-related degree is not required as full training will be provided for those with technical knowledge but without a formal technology qualification.
A career within Operate Technology at PwC, provides the opportunity to gain industry recognised technical skills in software development and automation (RPA) while working in a technology lead department.
You will join a structured training programme and will become an expert in various cutting-edge technologies utilised at PwC. The role offers the opportunity to develop quickly, to see the results of your work and to collaborate with clients throughout projects. As your career progresses, you will be given a degree of flexibility to work on projects that suit your particular interests and skills.
As an Associate, you’ll work as part of a team of problem solvers with extensive industry experience, to help our teams and clients solve complex business issues from strategy to execution. Specific responsibilities include
Process assessment and automation
Understanding business and technical requirements; develop, document, and implement solution designs
Robotics development including solution architecture
Coding, testing, debugging, and deployment
Work with other developers, architects, engineers, database administrators, business analysts, QA and delivery leads in project delivery and solving technical issues
Hands on delivery of solutions throughout the entire life cycle, including day-to-day management of ongoing engagements
Ensure that deliverables meet or exceed functional, technical, and performance requirements
Contribute to the development of your own and team’s technical acumen
Educated to degree level in any subject or relevant industry experience, preferably in an IT-related discipline.
Strong analytical skills with experience in problem solving and being able to implement and deliver solutions
Willingness to expand technical knowledge in a broad range of client facing projects
Ability to manage deadlines within multiple projects
Proven ability to be a team player, while retaining ability to work independently with little supervision.
What you will learn
.NET 3.5 and higher Framework (C#, ASP.NET, VB.NET)
Knowledge of RPA tools (Automation Anywhere, Blue Prism, Kofax Kapow, UiPath)
An understanding of agile software development methodologies (Scrum, Kanban etc.)
DevOps experience (CI/CD etc.)
Machine learning and Artificial Intelligence (AI), especially Natural Language Process (NLP)