Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM

Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh

Location:

Edinburgh

Other locations:
Primary Location Only

Requisition

The EY Financial Services AI & Data Consulting team in Scotland is continuing to grow and develop unique advisory propositions in response to market needs and demand. We fully support the Scottish Financial Enterprise (SFE) vision for an ecosystem with Data, AI and emerging technology at the core and are now recruiting for new colleagues as part of our strategic investment to help deliver this vision.

We offer the opportunity to join a local team, driving continued growth and success on a global scale, delivering exceptional career experiences and advancing Scotland’s position as a world leader in Financial Services.

Our mission is to deliver AI-ready Data enabling our Financial Services clients to deliver superior market products and experiences. We are currently looking for exceptional Senior Consultants with good experience in Financial Services and Data Platform solutions (Snowflake or Databricks) to join our team and actively contribute to this mission, locally and globally. Joining the Edinburgh EY AI & Data team in this exciting period of growth will offer a huge variety of opportunity to make a tangible impact to our clients’ businesses and to your career.

In this AI & Data consulting role, you will work collaboratively with our clients to enhance their ability to solve complex business problems by delivering engagements related to the deployment of Data Platforms such as Snowflake and Databricks. We provide expertise and delivery across two core areas:

• Data Architecture & Engineering – Focusing on next generation data platforms, architecture and implementation, making data available and trusted to deliver on AI priorities
• Data Management & Strategy – Supporting our clients manage AI & Data Risk, define AI & Data Strategies, design Target Operating Models and enable Data Offices that prove transformational to their business

• Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include roles such as target state architecture scoping, data analysis, solution design, and end to end implementation management. As a Senior Consultant you will be a vital part of the delivery team on any or all of those roles as you develop your practical experiences with Data Platform solutions.
• Support the development of new EY data solutions and methods that will improve effectiveness and reduce costs of current practices.
• Support RFP responses as well as thought leadership articles that we issue to the market.
• Experience in Data Platform Technologies, including some of the following capabilities:
• Understanding of Snowflake/Databricks architecture, including data warehousing concepts and data sharing capabilities
• The ability to write SQL and/or Python queries for the purposes of transforming, joining and aggregating data
• Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools and features
• Practical knowledge of common data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, Power
  
  BI and Sigma
• Experience using native functionality to deploy and interact with Large Language Models
• Ability to develop, test and deploy machine learning models
• Work to ensure internal risk and admin processes are adhered to.
• Participate actively in the local Financial Services ecosystem, collaborating with our clients, Fin Techs and Universities as we advance Scotland’s position as a world leader in Financial Services.

We’re looking for people with a passion for the delivery of data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should have advanced problem solving skills, relish working in high performing teams and an ability to communicate complex ideas effectively, both verbally and in writing.

• Demonstratable interest and awareness in data, AI &…