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Lead client engagements for Communications, Media & Technology and Private Equity clients: manage teams, drive project delivery, perform commercial due diligence, build client relationships, develop insights and thought leadership, and support business development. Expect heavy travel and mentoring responsibilities.

Lead analytics projects with consulting teams: design, build, and deploy ML models and large-scale data solutions, communicate insights to stakeholders, advocate modelling best practices, and mentor teams while traveling to client sites as needed.

Work as a full project team member on 1–2 client engagements: conduct research, surveys and interviews, analyze data, structure solutions, and deliver a defined piece of work while developing core consulting skills and client communication.

Lead actuarial projects for life insurers including capital and financial reporting (IFRS17, Solvency II), risk management, product and annuity modelling, M&A due diligence, actuarial model conversion and transformation, client presentations, and business development while managing small teams and stakeholder communications.

Design, build, deploy, and scale enterprise AI and Generative AI solutions (LLM apps, RAG, agentic workflows). Build data pipelines, MLOps/LLMOps, cloud deployments, and reusable frameworks while ensuring responsible AI, governance, and stakeholder collaboration across multidisciplinary teams.

Provide actuarial consulting for UK life insurance clients across capital and financial reporting, risk management, product and annuity modelling, M&A due diligence, actuarial model transformation and optimisation, and development of intellectual capital. Work with consulting teams and actuarial colleagues to deliver analyses, modelling, regulatory advice (Solvency II, IFRS17, ORSA), client presentations, and business development.

Provide technical support to Client Executives and clients by processing insurance paperwork, maintaining agency records, producing renewals/certificates/policies/invoices/endorsements, performing reconciliations, and obtaining required insurance licenses and designations.

Lead and manage supply chain and operations project workstreams: form hypotheses, collect and analyze data, build models, conduct research, synthesize findings into presentations, advise clients, support partners, and upskill client teams to implement supply chain optimization solutions (including AI/ML forecasting tools).

Support AI capability and adoption through structured experimentation, prompt engineering, custom GPT testing, documentation, workflow prototyping, coaching support, and enablement across the Centre of Excellence.

Provide FP&A support for Industrials practices: design and present KPIs, partner with leaders to translate financial data into commercial action, drive forecasting, budgeting and P&L analysis, and improve reporting and automation using Excel, Tableau, PowerPoint and LLM tools.