EY AI/Machine Learning, Data and Analytics, Senior Consultant- FS Advisory in London, United Kingdom
AI/Machine Learning, Data and Analytics, Senior Consultant- FS Advisory
Requisition # LON00EAR
Post Date Jun 28, 2018
EY Financial Services Organization (FSO) works with leading financial services clients globally. We are consistently growing our advisory practices, outpacing competition. We work as one borderless organization - 15, 000 employees across 30 countries – building teams who have the skills and experience our clients need. For you, this means exciting opportunities to:
Team up with the best people on the most challenging Financial Services programs
Share knowledge with people known for their world-class expertise and insight
Work with global clients, locally and internationally
Be exposed to different business cultures in high-performing teams
Help shaping the future of financial services
Develop an international network of colleagues and clients that will last a lifetime
The EY Financial Services Data and Analytics (DnA) team is continuing to grow and develop unique advisory propositions aligned to the market needs and demand. We are currently looking for exceptional consultants with strong experience in Artificial Intelligence and Machine Learning technologies to join the team and drive continued success on a global scale.
Joining EYs DnA team in this exciting period of growth will offer a huge variety of challenges and the opportunity to make a serious impact on our clients businesses and on your career.
The DnA practice works collaboratively with our clients to enhance their ability to solve complex business problems by exploiting data. Our clients need the vision to articulate the big picture and the precision to see the smallest of details. Information and intelligence are the assets which enable this, and our DnA practice provides innovative approaches to unlocking this information, solving many of our clients’ biggest challenges.
The DnA practice provides expertise and delivery in four core areas of competency:
Data Management and Integration providing the foundational layers for enterprise data accessibility, covering data sourcing and integration, data warehouse and modelling, master data management and data rationalisation and migration
Data Quality and Governance developing an organisation that treats data as a critical enterprise asset and sources quality data for business use and regulatory compliance. This includes examining the fitness for purpose of data for specific business needs, data remediation, and the strategy, roles, policies and processes to effectively manage data through its lifecycle
Reporting design, architecture and implementation of enterprise reporting solutions, including visualisation. This includes the end-to-end reporting lifecycle across advisory and strategy, identifying compliance reporting trouble spots and delivering achievable roadmaps, to vendor selection, design and implementation
Analytics covers operational analytics, predictive analytics, industry models and analytics enablement, and provides actionable enterprise insight and delivers value from an enterprises data. The area of Analytics and Data Science is expected to be a key driver for growth in the coming year.
In order to be successful, you will apply your knowledge and experience to support the delivery of key projects, build valuable relationships both within EY and with clients, and develop strong capabilities through both formal training and working with senior mentors and talented colleagues.
You will help with designing Artificial Intelligence (AI) and Machine Learning solutions, undertaking proof-of-concepts, and implementing these solutions to help clients to compete effectively in this dynamic environment.
We succeed when we combine high performing team members from a variety of backgrounds. We are therefore looking for individuals with industry, consulting, delivery or vendor backgrounds. We will provide the required support to transition into the team if this is your first step into consultancy.
Required skills and experience
The finest consultants in the data and analytics field will prosper and thrive at EY. To succeed, you will need to have the right attitude and experience in one or more of our four core areas of competency, as well as:
A university degree with a minimum of a 2:1 (or equivalent), and ideally an MBA or MSc
Relevant technical and delivery experience within, or working as a consultant/advisor to, a financial services organisation
Experience in the following products: IBM Watson platform (Conversation & Text to speech), Azure Machine Learning or Google Cloud Machine Learning.
Experience in building AI and Machine learning models – Natural Language Processing (NLP), Natural Language Generation (NLG), Deep Learning (Voice and Image recognition) and Neural Networks.
Experience in building models in R, C++, Java or Python programming languages and libraries.
Experience in multiple tools/language/frameworks within the Big Data & cloud ecosystem (Hadoop, MongoDB, Neo4j, Spark, Hive, Hbase, Cassandra, etc.)
Strong communication, presentation and business and technical writing skills
The ability to provide excellent client service and manage and build strong relationships both internally and externally, coupled with a strong interest in further developing and integrating operations with technology skills
Awareness of emerging issues, including regulations, industry practices and new technologies
Desired skills and experience
The following skills are also desired:
Experience in data analysis and using data to solve complex business problems
Experience of developing data science capability
Experience of working in an Agile Scrum environment
Experience of using project monitoring software (i.e. JIRA & Confluence)
If you think you can meet the challenges of a focused consulting organisation, understand how to grow and lead in a large practice and work in the most complex of sectors our DnA team is looking forward to hearing from you.
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.