Applications for this are now closed. See a list of our open graduate programmes.

Analytics Graduate Programme

Type: 
Graduate programme
Locations: 
London
Sectors: 
Consulting, Technology: Consulting & Project Management
Deadline: 
8th November 2019

Unlock the power of your mind

Discover how powerful minds can make unique contributions. Bring your own to a career at Accenture, and see how you create change in the world around you. We empower you to be your best. We embrace who you are. We invest in your future. 

We look for passionate, curious and solution-driven team players who are ready to ignite ideas and inspired to push boundaries. 

Be yourself, make a difference: accenture.com/ukgraduates

Who we are and what we do

Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 482,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. 

Analytics Graduate Programme

Data is key to giving organisations competitive advantage. This is collated from multiple sources, such as images, audio, texts, tweets and blogs, not to mention the vast swathes of information surrounding every event, every object, every location and every moment. So, how can organisations harness that data? The answer is data analytics.

On this programme, there are two paths you can follow. The first involves delivering complex analytic solutions for our clients, working on big data and becoming familiar with sophisticated databases. The other entails working as part of a team to produce analytics for internet marketing campaigns. 

What you’ll learn

You’ll gain an understanding of how data and statistical and quantitative analysis, combined with exploratory and predictive models and fact-based management, delivers data-driven business insights. And whichever path you follow, you’ll have the opportunity to move across industries, helping you to grow from Analyst to Consultant.

What’s in it for you

As well as the prospect of a great career centred around improving the way the world works and lives, you can look forward to a competitive starting salary and a generous holiday allowance. Other benefits include a pension scheme, personal laptop, an AMEX card, private healthcare, subsidised gym membership, season ticket loan and much more besides. For a comprehensive list of all our benefits, visit our website.

What we’re looking for

You’ll need a quantitative degree, such as maths, statistics, data science or computer science – a minimum 2:1 (achieved or predicted). 

A flair for analytical and logical problem solving, plus strong numerical skills are essential. These are client-facing roles which entail interpreting and translating client requirements into workable solutions that bring business benefits. So you’ll also need excellent communication skills, both verbal and written, including the ability to articulate numerical concepts to a non-numerical audience.

If you are successful, you will need to be available for start dates between Oct 2020 and July 2021.

Where you’ll work 

You will need to live within commutable distance of your home office which will be London. Due to the nature of our work, you may be delivering projects on client sites anywhere in the UK and sometimes outside of the UK. You will need to be prepared to travel and sometimes live away from home for long periods of time.

How to apply

Full information on our application and selection process can be found on our website.

Places are filled on a first-come, first-served basis. So please apply early to avoid disappointment. Deadline for applications is 08/11/2019.