At a Glance
- Tasks: Lead AI-driven data projects in healthcare, enhancing data quality and reporting.
- Company: Join EY, a global leader in consulting with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, career growth, and access to cutting-edge technology.
- Other info: Collaborative environment with opportunities to mentor and develop junior talent.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Experience in healthcare data management and strong analytical skills required.
The predicted salary is between 60000 - 80000 £ per year.
At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
As a Data and Analytics Manager within our Health Practice, you will oversee the end‐to‐end lifecycle of health data, ensuring accuracy, compliance, and meaningful use in service transformation. This includes managing large‐scale NHS datasets and collaborating with clinical and operational teams to enhance data quality and reporting capabilities.
- Lead consulting projects in the healthcare sector, focusing on the application of AI, automation, and advanced analytics to improve productivity, enable digital transformation, and reduce costs.
- Collaborate with clients to understand their healthcare-specific needs and develop tailored analytics and intelligence solutions that address operational, clinical, and strategic challenges.
- Design, build, and deploy data analytics and reporting solutions including automations, predictive and prescriptive analytics and integration with AI solutions and technologies.
- Analyse healthcare systems, policies, and data to identify opportunities for data-driven innovation and improvement.
- Collaborate with NHS clients, operational leaders, digital teams, and external partners to understand data needs and co‐design solutions.
- Facilitate workshops with NHS stakeholders to strengthen data literacy and promote consistent data practices across organisations.
- Mentor and develop junior consultants, fostering AI and health data literacy within the health sector team.
- Stay abreast of healthcare industry trends, regulatory changes, and emerging data and AI technologies to inform consulting strategies and recommendations.
- Contribute to business development and solution design for health sector clients, supporting bids and proposals with data, analytics, AI and Healthcare expertise.
Proven experience delivering data-focused transformation projects within the healthcare sector (in particular the NHS). Strong understanding of UK (in particular NHS) healthcare systems, policies, and operational challenges, with the ability to translate these into AI-enabled solutions. Strong hands‐on experience with data management, data integration, and data quality tools, alongside proven expertise in applying data governance best practices. Experience with handling and analysing large scale operational, clinical and financial healthcare datasets – SUS, SLAM, HES, ESR. Experience of undertaking complex analytics engagements in areas such as financial improvement, operational improvement, intelligent insights and demand and capacity and system modelling. Excellent analytical, problem-solving, and communication skills, with the ability to explain complex health data concepts to non-technical stakeholders. Experience managing projects and teams, delivering results for health sector clients. Understanding the application of data analytics, prescriptive and predictive to address key challenges across the healthcare landscape and across the NHS. Experience of developing across data visualisation solutions such as PowerBI and Tableau. Ability to work collaboratively and build strong relationships with healthcare clients and stakeholders.
AI Data Supervisor 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 AI Data Supervisor
✨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.
✨Apply Directly through Our Website
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We think you need these skills to ace AI Data Supervisor
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.
