At a Glance
- Tasks: Collaborate with clients to solve complex business problems using AI and Data technologies.
- Company: Join a leading consulting firm focused on transforming Financial Services through data.
- Benefits: Competitive pay, flexible working, continuous learning, and a diverse culture.
- Why this job: Make a real impact in the world of AI and Data while advancing your career.
- Qualifications: Passion for data, AI, and emerging technologies; 2+ years in Financial Services preferred.
- Other info: Be part of a dynamic team driving Scotland's vision for Financial Services.
The predicted salary is between 48000 - 72000 £ per year.
The opportunity
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.
Your key responsibilities
- 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, 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 our 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 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.
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 an ability to communicate ideas effectively and clearly.
- 2+ years of FS experience in one of the following sectors: Banking, Capital Markets or Insurance.
- Good knowledge in at least one of our core AI & Data capabilities.
- Understanding of technology trends and implications on the FS industry, including data platforms, digital drivers, cloud architecture, integration tools & approaches AI methods & techniques and the challenges faced in establishing effective delivery of value across the business.
- Some hands-on coding experience with SQL, Python or Scala would be advantageous but not compulsory.
- Relevant experience in Data Platform Technologies (knowledge of any or all including Snowflake, Databricks, Microsoft Fabric would be beneficial).
- Previous consulting experience would be a plus, but so would the curiosity and ambition to develop your career with a consulting role.
What we look for:
We are looking for highly motivated individuals who are passionate about AI and Data and want to assist clients to become truly data driven organisations. If you think you can meet the challenges of a focused consulting organisation, want to learn how to grow and lead in a large practice, deliver on Scotland’s vision for Financial Services and work in the most complex of sectors our Edinburgh AI and Data team is looking forward to hearing from you.
What working at EY offers
We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. 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.
Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the Financial Services sector. Attend meetups, webinars, or even local events. The more people you know, the better your chances of landing that Senior Consultant gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Data Platforms like Snowflake and Databricks. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to tackle real-world scenarios related to data architecture and engineering. Practice explaining complex ideas simply – it’s key in consulting!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Consultant - AI & Data, Financial Services, Data Platforms, Data Engineer, BCM, Edinburgh
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Consultant role. Highlight your experience with Data Platforms like Snowflake and Databricks, and show how your skills align with the job description. We want to see how you can bring value to our team!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; give examples of how you've tackled complex problems in the past. We love candidates who can demonstrate their analytical thinking and creativity in solving data challenges.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We appreciate candidates who can communicate complex ideas effectively, so make sure your writing reflects that!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at EY
✨Know Your Data Platforms
Make sure you brush up on your knowledge of Snowflake and Databricks. Be ready to discuss their architectures, data warehousing concepts, and how they can solve complex business problems. This will show that you're not just familiar with the tools but understand their practical applications.
✨Showcase Your Problem-Solving Skills
Prepare examples from your past experiences where you've tackled complex data challenges. Highlight your analytical skills and how you've used SQL or Python to derive insights. This will demonstrate your ability to think critically and provide value in a consulting role.
✨Communicate Clearly
Practice explaining complex ideas in simple terms. You might be asked to present technical concepts to non-technical stakeholders, so being able to communicate effectively is key. Consider doing mock interviews with friends to refine your delivery.
✨Engage with the Financial Services Ecosystem
Familiarise yourself with current trends in the Financial Services sector, especially regarding AI and data management. Showing that you’re engaged with the industry and understand its challenges will set you apart as a candidate who’s genuinely interested in making an impact.