Data Scientist
Role details
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Tech stack
Requirements
The Mandate: Agentic AI & Advanced AnalyticsThis role is designed for data scientists who operate with a consulting mindset. You will lead the delivery of end-to-end projects across the Machine Learning (ML) lifecycle, moving beyond standard analytics to implement Agentic AI solutions that automate complex reasoning and decision-making tasks. The mandate requires a deep understanding of statistical modelling, natural language processing (NLP), and time-series analysis, combined with the ability to demonstrate the tangible business value of AI to senior stakeholders. Candidates must possess a proven track record in a client-facing advisory environment, ensuring that cutting-edge data science is applied to solve real-world operational challenges . Key ResponsibilitiesLead the technical delivery of Agentic AI, Generative AI, and Data Science projects, ensuring client expectations are met through robust, scalable solutions.Advise and inspire clients on the potential of AI through high-impact demonstrations and evidence-led business cases.Deploy advanced skills in statistical modelling, mathematical optimisation, and spatial analysis to drive decision intelligence.Manage senior stakeholder relationships, enabling clients to interpret complex data patterns and derive actionable insights.Contribute to the commercial growth of the practice through bid support, RFP responses, and the development of new AI-driven market offerings.Support internal practice development by contributing to whitepapers, recruitment, and the mentoring of junior data scientist s. Required Experience & SkillsConsulting Pedigree: Experience within a management consulting firm or a high-level internal advisory function is essential. You must be comfortable delivering work at pace in a matrixed environment.Scientific Foundation: A strong background in the ML lifecycle, including expertise in NLP, time-series analysis, and predictive modelling.Technical Stack: Proficiency in Python, R, or PySpark is mandatory.Cloud & Data Platforms: Architectural knowledge of one or more major platforms, such as AWS, Azure, Google Cloud Platform (GCP), or Databricks.AI Specialisation: Familiarity with Agentic AI platforms and frameworks, which may include Microsoft Copilot Studio, OpenAI GPT-5 Agents, or similar autonomous agent technologies.Communication: Exceptional presentation skills with the ability to translate technical data science concepts for non-technical executive audienc es. Why Join This Practice?This organisation offers a mature and collaborative environment where "science and data" are the foundation of every client engagement. Unlike traditional high-pressure consulting models, the firm prioritises sustainable performance and provides genuine flexible working patterns. The culture is built on intellectual curiosity and purpose-built technology, offering a transparent path to leadership and the opportunity to work alongside some of the most respected figures in the global data science commun ity.