Data Scientist/AI Engineer

Job description

The Opportunity

 

We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At EY, we are helping organisations transform, to continually improve the way they ‘do business’ and lead in the market. We are doing this by challenging the norm, by taking on the ‘too hard’ problems and by helping organisations become insight driven .

 

Whilst Analytics and AI are driving the transformation, we all know that success isn’t possible without someone taking care of the hard stuff, that is, the difficult platform and data engineering work.

 

We have a fast-growing Data & Analytics practice within Advisory, where Platform & Data Engineering expertise is key for driving growth.We also believe all sector experience has something to offer, so whether you are Telco or FS, Consumer Products or Utilities, it will all add to the richness of services we can offer our clients.

 

Your Responsibilities

 

We are looking to bring in talented people across all our grades. No day would be ‘typical’, but you could expect to be involved in some or all of the activities listed below during the course of your career:

 

· 
Supporting the pursuit of new work through client conversations and presentations

· 
Research & development in support of new data/AI based offerings

· 
Leading & delivering client solutions using a range of data technologies

· 
Learning about new technologies/research and how they could be applied for the benefit of our clients

· 
Mentoring other experienced and aspiring Platform & Data Engineers

· 
Development of innovative prototypes to bring to life our capability

· 
Support of bid response work to articulate what value we can bring

· 
Speaking at conferences, meetups and other EY brand promotion events    

· 
Blogging about what we do

· 
Collaborating with our partners and other parts of EY

 

Skills & Attributes for Success

 


  If you have some or all of the below, then get in touch:

 

· 
Strong inter-personal, collaborative & team player skills

· 
Professional experience in delivery of advanced analytics & data projects (particularly cloud based)

· 
Programming skills in Python or R, Spark and SQL

· 
Excellent communication skills, with the ability to analyse and clearly articulate complexities in a simple, clear and compelling way

· 
Worked with open source data technologies

· 
Data wrangling and manipulation techniques

· 
Experience of development & deployment tooling, such as Jenkins, Ansible, Docker etc

· 
Cloud expertise, preferably Microsoft Azure

· 
Platform & Data Architecture

· 
Experience of working with leading ETL technologies e.g. Talend, Informatica

· 
Software engineering experience (e.g. coding standards, version control, testing, review)

 

Ideally, you’ll also have

 

· 
Used a data visualisation technology, like Tableau, Power BI or Qlik

· 
Experience of IoT

· 
Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail

 

 

To join us, you’ll need to bring your passion and talent for all things data; what we need is your human IQ and EQ to be part of our high performing team. Success isn’t achieved from a cookie cutter template, nor from re-inventing the wheel every time, rather it’s a combination of balancing the innovation and industrialisation experience you can bring.

What working at EY offers:

You will learn from some of the most engaging experts in the industry
You will join a team of experts, who deploy innovative solutions in the Data & Analytics field.
 
Our commitment to diversity & inclusion

At EY we are genuinely passionate about inclusion and we support of individuals of all groups; we do not discriminate on the basis of race, religion, gender, sexual orientation, or disability status.
 
About us / Who we are :

At EY we have set up a state-of-the-art centre of excellence in Data and Analytics with the team comprises a group of international experts, working in secure data-labs and supported by the latest technical infrastructure.  Joining EY’s Data & Analytics Centre of Excellence in this exciting period will offer a variety of challenges, and the opportunity to make an impact on our clients’ businesses and your professional career.

Who we are

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.