Applied Intelligence - Data Architecture, Engineering and Machine Learning
Edinburgh
JOB NO. R00075972
Job Description
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
Qualifications
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.
Equal Employment Opportunity Statement
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected applicable law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
COVID-19 update: The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually.
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What people are saying about us
"Love love love!
Current Employee - Analyst in London, England.
Pros: Fantastic culture, amazing flexibility, good rewards, varied work/projects, lots of extra-curricular activities/group.
Cons: Salaries competitive but not market leading, work life balance can be questionable at times.
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