At a Glance
- Tasks: Lead teams to drive AI and data transformation using Snowflake technologies.
- Company: Join EY, a global leader in consulting and technology solutions.
- Benefits: Attractive salary, flexible working options, and career advancement opportunities.
- Other info: Dynamic role with opportunities to work with senior executives and top-tier clients.
- Why this job: Shape innovative solutions and make a real impact in the AI and data landscape.
- Qualifications: Experience in consulting, technology strategy, and team leadership.
The predicted salary is between 80000 - 100000 £ per year.
EY seeks a Senior Manager – Snowflake AI & Data Consulting Lead to accelerate Snowflake alliances and drive data and AI transformation for clients.
Lead delivery teams, shape solutions, and work with senior executives to unlock AI-driven insights using Snowflake Data Cloud, Cortex AI, Snowpark, and Data Sharing.
This role blends consulting, technology strategy, and alliance development.
You will shape market-leading propositions, build high-performing teams, and deliver transformative data and
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Senior Snowflake AI & Data Solutions Lead in London employer: EY UK
EY UK is an exceptional employer, offering a dynamic work culture in Birmingham that fosters professional growth and development. As a Senior HR Help Desk Advisor, you'll benefit from comprehensive training, a supportive team environment, and clear pathways for career advancement into Employee Relations, all while contributing to a company renowned for its commitment to employee well-being and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake AI & Data Solutions Lead in London
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like EY UK.
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When you find a suitable opening like Senior Snowflake AI & Data Solutions Lead at EY UK, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Snowflake AI & Data Solutions Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at EY UK, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at EY UK. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at EY UK
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at EY UK!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
