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

  • Ernst & Young Advisory Services Sdn Bhd
  • Edinburgh, Midlothian
  • Oct 25, 2025
Full time Banking

Job Description

Overview

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

Location: Edinburgh

Other locations: Primary Location Only

Date: 26 Sept 2025

Requisition ID:

The EY Financial Services AI & Data Consulting team in Scotland is growing to deliver AI-ready Data solutions for Financial Services clients. We are recruiting to help deliver this vision, offering the opportunity to join a local team with global impact and to advance Scotland's position as a world leader in Financial Services.

We are looking for exceptional Senior Consultants with good experience in Financial Services and Data Platform solutions (Snowflake or Databricks) to contribute to this mission, locally and globally. Joining the Edinburgh EY AI & Data team during this growth period offers a wide range of opportunities to make a tangible impact on client businesses and your career.

The opportunity

In this AI & Data consulting role, you will work with clients 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 clients in managing AI & Data Risk, defining AI & Data Strategies, designing Target Operating Models and enabling Data Offices that transform the business
Your key responsibilities
  • Work as part of a delivery team on complex Financial Services data transformation programmes. A typical programme can include 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 across these roles as you develop practical experiences with Data Platform solutions.
  • Support the development of new EY data solutions and methods to improve effectiveness and reduce costs of current practices.
  • Support RFP responses as well as thought leadership articles issued to the market.
  • Experience in Data Platform Technologies, including some of the following capabilities:
  • Understanding of Snowflake/Databricks architecture, data warehousing concepts and data sharing capabilities
  • Ability to write SQL and/or Python queries for transforming, joining and aggregating data
  • Ability to analyse datasets and generate insights using Snowflake and/or Databricks analytical tools
  • Practical knowledge of data engineering and BI/data visualisation integrations such as dbt, Azure Data Factory, PowerBI 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 clients, FinTechs and Universities as we advance Scotland's position as a world leader in Financial Services
Skills and attributes for success

We're looking for people with a passion for delivering data technology solutions that deliver positive outcomes for customers, regulators and shareholders. You should have advanced problem solving skills, enjoy working in high performing teams and be able to communicate complex ideas effectively, both verbally and in writing.

To qualify for the role you must have some or all of the following
  • Demonstratable interest and awareness in data, AI & emerging technologies
  • Good problem solving, teamwork and communication skills, and the ability to communicate ideas effectively
  • 2+ years of FS experience in Banking, Capital Markets or Insurance
  • Good knowledge in at least one of our core AI & Data capabilities: Data Architecture & Data Engineering
  • Understanding of technology trends and implications on the FS industry, including data platforms, cloud architecture, integration tools & approaches, AI methods & techniques and the challenges in delivering value
  • Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory
  • Relevant experience in Data Platform Technologies (Snowflake, Databricks, Microsoft Fabric would be beneficial)
  • Previous consulting experience is a plus, but so is the curiosity and ambition to develop your career in a consulting role

What we look for: We are looking for highly motivated individuals who are passionate about AI and Data and want to help clients become truly data-driven. If you can meet the challenges of a focused consulting organization, want to grow and lead in a large practice, deliver on Scotland's vision for Financial Services and work in this sector, our Edinburgh AI and Data team looks forward to hearing from you.

What working at EY offers

We offer a competitive remuneration package with a comprehensive Total Rewards offering, including support for flexible working and career development. With FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts 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 tools and flexibility to make a meaningful impact, your way
  • Transformative leadership: We'll give you 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

EY refers to the global organization and may refer to one or more member firms of Ernst & Young Global Limited, each a separate legal entity. Ernst & Young Global Limited is a UK company limited by guarantee and does not provide services to clients.

Note: This description excludes non-job-related boilerplate and system-specific lines that are not relevant to the candidate-facing job posting.