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Consultant, Analytics & AI,-Parthenon

Job in City Of London, Central London, Greater London, England, UK
Listing for: EY
Full Time position
Listed on 2026-08-29
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer (Applied/Software), Business Intelligence
Salary/Wage Range or Industry Benchmark: 60000 - 90000 GBP Yearly GBP 60000.00 90000.00 YEAR
Job Description & How to Apply Below
Position: Consultant, Analytics & AI, EY-Parthenon
Location: City Of London

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 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.
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 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.
Skill…
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