Consultant, Analytics & AI,-Parthenon
Listed on 2026-08-29
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IT/Tech
Data Analyst, AI Engineer (Applied/Software), Business Intelligence
Location: City Of London
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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 Client Delivery- 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 elevate issues to engagement leadership where appropriate.
- 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.
- 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.
- Take ownership of assigned tasks and parts of work streams, 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.
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