Applied Intelligence - Data Architecture, Engineering and Machine Learning

In our team you will learn: 

• At the forefront of the industry, you’ll create, own and make it a reality for clients looking to better serve their connected customers and operate always-on enterprises. 
• Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on.
• You will be working with famous brands and household names – no worrying about how to explain what you do to your family again! 

In this role you will:  

• Work with clients to understand how analytics can help their businesses.
• Bring an analytical mindset to client engagements, supporting delivery of project workstreams
• Understand and break down client problems, bringing an understanding of leading technology, analytics methods and tools and operating model approaches
• Develop compelling stories through dashboards, analytical tools or PowerPoint to provide guidance to senior client leadership
• Lead small teams to deliver fast-paced client projects
• Interact with senior management at a client and/or within Accenture including VP, SVP and C-Suite interactions
• Share your knowledge and experience, verbally and in writing
• Contribute to practice development to progress the Applied Intelligence value proposition and build a strong community

We are looking for experience in the following skills:

• Relevant work experience in data science, machine learning, business analytics, Data architecture or Data Engineering
• Experience of using Cloud technologies eg. AWS, GCP or Azure.
• Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. desired.
• Wide-ranging awareness of global, economic, technology and social trends that affect our clients
• Business strategy acumen, e.g. business case development, identification of value opportunities for data and analytics, operating model design
• An understanding of statistical modelling techniques e.g. Classification and regression techniques, Neural Networks, Markov chains, etc.
• Adept at working at all levels of the client’s business
• Excellent critical thinking skills and ability to develop pragmatic solutions to address clients’ most pressing challenges.