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 (e.g. Databricks, AzureML) and frameworks (e.g. 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 (e.g. 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.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

Apply now.

Please note: Prior to finalizing your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable towards our goal of building a better working world. We ask because it matters!

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.