Digital Audit Advanced Analytics Technology is at the heart of how our clients deliver their services. The complexity of systems, increasing use of data and the continuous investment in technologies by our clients creates new challenges, and equally, opportunities as to how we assess their risks. Our aim is to build trust in society helping our clients solve their most important problems by combining human ingenuity and understanding with the right technology.

The Innovation and Data team is part of the larger UK Audit practice. At PwC, we've invested significantly in innovative technology to help us understand our client's needs providing and developing innovative initiatives across our broad range audit clients. We do this through the implementation of robotics, AI, machine learning and advanced analytics tools, leveraging the best technologies currently on the market. The team works with audit clients and internal audit stakeholders to generate crucial insights and find patterns in data to match with our understanding of client risk assessments.

We bring passionate people together to work inclusively and celebrate our successes. Our people challenge and are open to challenge themselves as we work together to solve important problems for the organisations we audit.

Programme

Our graduate training programme is underpinned by a development framework that broadens and deepens your knowledge. You'll learn from hands-on coaching and an outstanding variety of work, picking up business, personal and technical skills you can use across the network, and throughout your career.

What you'll do

The Innovation and Data team is a high performing and diverse team that leads the way in the implementation of advanced technologies within the PwC UK Audit practice. As a trusted specialist, you'll advise senior stakeholders on ways to automate and reimagine audits, implementing creative technologies. Building a strong understanding for the role that data and analytics plays in the modern-day audit.

You'll get to work on technical assignments enabling you to develop skills in Advanced Analytics, Machine Learning, Data Engineering, and sophisticated visualisation tools to provide clients with the PwC digital audit experience. This means that you'll develop the technical, business, and soft skills around the topic of data and analytics that our clients are demanding today.

As the leading analytics function in the PwC UK Audit practice, you'll get to work closely with audit clients across a broad range of industries (e.g., banking, insurance, asset and wealth management, oil and gas, manufacturing, and telecoms).

What you'll gain

Through our tailored training programme you'll develop the foundations to become a highly skilled advanced analytics professional. You'll also get the full support of your own Career Coach and experienced colleagues who'll help guide and shape your career, so that you're always delivering the best you can.

We aim to make sure graduates gain relevant external business and technical accreditations. Together, these provide a good combination of business knowledge and technical skill that sets our advanced analytics professionals apart.

What you'll need

If you're naturally inquisitive, have an analytical mind and enjoy solving problems in a rigorous and logical manner, for a variety of different businesses then this is the role for you. For example;

How do I embed new technologies such as machine learning, AI and visualisation tools to enhance the audit process for our clients?

What are the risk and quality implications of utilising new technologies?

What cultural challenges may I face as I try to get the wider PwC UK Audit practice to use data analytics tools and emerging technologies?

How do I implement analytics within an audit in order to better manage pain points during busy periods?

What's the most suitable methodology to automate and reimagine audit?

What are the next emerging technologies we could look to implement and how would they add value to an audit?

You'll need to have achieved or be on track to pass an undergraduate degree or above in any subject, with an interest in data analytics, machine learning, data science, data mining and coding. We determine whether you're on course to pass based on the grades you achieved in your last completed year of academic study.

When to apply

Once you have submitted your application you'll have seven days to complete the online test, this is the first stage of our recruitment process.

Assessment centres for this role will take place between 15 November to 28 November 2023 . We expect to be able to give you at least a week's notice to attend.

If successful, you will be invited to attend a final round interview, which will take place week commencing 4 December 2023. This will take place in person in the Manchester office.

Applications for this role may close early should we receive a high volume of interest so we recommend prompt application to avoid disappointment.