Senior Consultant, AI And Quantitative Modelling

At EY, we’re all in to shape your future with confidence. 

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 

Join EY and help to build a better working world. 

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.

 Any Data Scientist & AI Engineer worth their salt, knows that Analytics is not just a technical discussion, rather it is a combination of the technical and domain knowledge, aimed at the right business audience. At EY we have the right market access and business relationships, so when we combine it with your passion & talent for AI, we really can make a better working world.

 We have a fast-growing Data & Analytics practice within Advisory, where Data Science & AI Engineers are at the tip of the spear for driving growth. Whether you are an expert in computer vision, have a passion for NLP, love playing with Graph we would really like to hear from you. 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 like you 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 AI based offerings
Leading & delivering client solutions using a range of DS/AI technologies
Learning about new technologies/research and how they could be applied for the benefit of our clients
Mentoring other experienced and aspiring Data Science & AI 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

Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the ‘too hard’ business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff.

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/DS/AI projects
Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory 
Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc
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 science libraries and understand how to apply them to various problem types
Experience of using the latest Data science platforms ( Databricks, AzureML) and frameworks ( Tensorflow, MXNet, scikit-learn)
Data wrangling and manipulation techniques
Experience of development & deployment tooling, such as Jenkins, Ansible, Docker etc

Ideally, you’ll also have

Experience of working on a Microsoft Azure platform

Used a data visualisation technology, like Tableau, Power BI or Qlik
Software engineering experience ( coding standards, version control, testing, review)
Experience of IoT
Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail

Whilst we are looking for machine learning experts, we aren’t looking for machines; 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 we offer

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.

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:

Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.

Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.