At a Glance
- Tasks: Support clients in unlocking value from data through analytics and AI solutions.
- Company: Join EY-Parthenon, a leader in consulting and analytics.
- Benefits: Gain valuable experience, competitive salary, and opportunities for personal growth.
- Other info: Collaborative environment with strong focus on innovation and career development.
- Why this job: Make a real impact by solving complex business problems with data-driven insights.
- Qualifications: Degree in a numerate discipline and experience in data analytics or related fields.
The predicted salary is between 56700 - 69300 £ 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.
EY-Parthenon is seeking a motivated Consultant to join its Analytics & AI practice, supporting clients to unlock value from data through analytics, reporting, AI and data-driven insights. This role is ideal for an individual with a strong commercial and technical mindset who enjoys solving business problems using data and is looking to develop both consulting and technical expertise.
Consultants work across a variety of strategic, pre-deal and post-deal engagements, helping clients make informed business decisions by transforming complex data into actionable insights. Working alongside experienced consultants, managers and senior leaders, you will design and deliver high-quality analytics solutions, develop meaningful business insights and communicate findings confidently to both technical and non-technical stakeholders.
Key Responsibilities
- Support the delivery of analytics and data-led engagements across a range of industries and business challenges throughout the project lifecycle, including requirements gathering, data collection, solution design, development, testing, implementation, documentation and user training.
- Collect, clean, structure and analyse large and complex datasets from multiple sources to support client objectives.
- Develop reports, dashboards, visualisations and analytical models that help clients understand business performance and identify opportunities for improvement.
- Design and implement analytical solutions, including data pipelines, visualisations and proof-of-concepts, to address complex business challenges.
- Work directly with clients and EY specialist teams to develop high-quality deliverables, including dashboards, reports, presentations and other analytical outputs.
- Apply structured problem-solving techniques to translate business challenges into data-driven insights and practical recommendations.
- Collaborate with engagement teams to deliver high-quality outputs within agreed timelines.
- Proactively escalate issues to engagement leadership where appropriate.
Analytics & AI Solutions
- Support the development of analytics and AI solutions using appropriate tools, technologies and methodologies.
- Support design and build data models, analytical solutions and visualisation dashboards to generate insights from large and diverse datasets with minimal supervision.
- Work with structured and unstructured data to identify trends, patterns and key findings.
- Build scalable, reliable and fit-for-purpose data models, datasets and reporting solutions.
- Conduct data quality assessments and validation activities to ensure analytical outputs are accurate and reliable.
- Contribute to innovation initiatives and proof-of-concepts exploring emerging analytics, machine learning and AI capabilities.
- Support the implementation of advanced analytical and AI-driven solutions where appropriate.
Stakeholder Engagement
- Communicate analytical findings clearly and effectively to technical and non-technical audiences.
- Explain complex technical concepts and analytical approaches in clear, practical terms to help clients understand how business challenges are being addressed.
- Participate in client meetings, workshops and working sessions.
- Build strong working relationships with clients, colleagues and wider EY teams.
- Manage stakeholder expectations regarding deliverables, timelines and project outcomes.
- Continuously seek feedback and identify opportunities to improve deliverable quality and client service.
Team & Personal Development
- Take ownership of assigned tasks and parts of workstreams, delivering high-quality outputs with appropriate supervision and guidance.
- Collaborate effectively with colleagues across different grades and service lines.
- Support and mentor junior team members where appropriate.
- Take ownership of personal development and continuously build technical and consulting skills.
- Stay informed on developments in analytics, AI, data management and emerging technologies.
Skills & Experience
- Typically 3–5 years' experience in data analytics, data engineering, data science or a related field.
- Experience applying data and analytics to solve business problems in financial, operational or commercial environments.
- Experience gained within consulting, professional services, finance, FP&A, transaction services or analytics-focused teams is highly desirable.
Analytical & Consulting Skills
- Strong analytical and problem-solving capabilities.
- Ability to structure ambiguous business problems and develop data-driven recommendations.
- Ability to draw clear business insights from complex datasets.
- Experience working with large datasets to identify trends, patterns and anomalies.
- Strong attention to detail and commitment to delivering high-quality outputs.
- Excellent verbal and written communication skills.
- Ability to communicate effectively with both business and technical stakeholders.
Technical Skills
- Experience in SQL and Python or R.
- Building and maintaining data pipelines and analytical workflows.
- Power BI, Tableau or other data visualisation platforms.
- Cloud-based platforms such as Microsoft Azure, AWS or Google Cloud.
- Experience in generative AI and machine learning concepts and applications.
- Structured and unstructured data management.
- Statistical analysis and predictive modelling.
- AI-enabled analytics and automation solutions.
Personal Attributes
- Curious, proactive and eager to learn.
- Strong commercial awareness and problem-solving mindset.
- Comfortable working in dynamic and fast-paced environments.
- Highly collaborative and team-oriented.
- Adaptable and open to new technologies and ways of working.
- Demonstrates ownership, accountability and a strong work ethic.
- Passionate about helping clients solve complex business problems through data and technology.
Qualifications
- Degree in a numerate discipline such as Computer Science, Mathematics, Engineering, Data Analytics, Statistics, Economics, Business Analytics or equivalent practical experience.
Ideally, You'll Also Have
- Experience developing client-facing dashboards and business reporting solutions from granular datasets.
- Understanding of financial, operational and commercial performance metrics.
- Exposure to transaction services, due diligence analytics or performance improvement engagements.
- Interest in emerging AI technologies and their application in solving business challenges.
- Experience working within cross-functional teams and managing multiple stakeholders.
What We Look For
- Individuals who are passionate about using data and AI to solve critical business problems.
- Strong communicators who can bridge the gap between business stakeholders and technical teams.
- Professionals who combine analytical rigour with commercial thinking.
- Team players who thrive in collaborative environments and contribute positively to team culture.
- Individuals who are adaptable and excited by the rapidly evolving analytics and AI landscape.
Consultant, Analytics & AI, EY-Parthenon in London employer: EY (Ernst & Young)
At EY, we pride ourselves on being an exceptional employer, offering a flexible working environment that empowers our employees to thrive. Our diverse and inclusive culture fosters collaboration and innovation, while providing ample opportunities for professional growth and development. Join us in London and be part of a globally connected team dedicated to building a better working world through cutting-edge technology and client-focused solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant, Analytics & AI, EY-Parthenon in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like EY (Ernst & Young)!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Consultant, Analytics & AI, EY-Parthenon at EY (Ernst & Young).
✨Leverage Professional Networks
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 (Ernst & Young).
✨Apply Directly through Our Website
When you find a suitable opening like Consultant, Analytics & AI, EY-Parthenon at EY (Ernst & Young), 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 Consultant, Analytics & AI, EY-Parthenon 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 (Ernst & Young), 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 (Ernst & Young). 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 (Ernst & Young)
✨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 (Ernst & Young)!
✨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.