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Lead design and delivery of end-to-end AI/ML solutions: define architectures, run PoCs and pilots (LLMs/GenAI, RAG, fine-tuning), build and deploy models, implement MLOps/LLMOps on cloud platforms, enforce security and governance, advise clients, mentor teams, and support pre-sales and thought leadership.

Serve as a client-facing data consultant delivering advanced analytics, strategic data recommendations, and business proposals. Define client needs, perform research and analysis, ensure successful project delivery, and mentor junior team members while contributing to content and business development for the US office.

Support clients by collecting, cleaning, and analyzing data from multiple sources using Excel, SQL, R or Python. Present insights and data-driven recommendations to clients, collaborate with teams to understand business needs, and participate in professional development while mentoring junior teammates.

The Senior Data Scientist will design and build scalable data products, develop machine learning models, and collaborate with various teams to drive impactful data solutions.

Lead multidisciplinary teams to deliver AI and data transformation projects, develop client portfolios, drive sales and proposals, ensure high-quality delivery, and spread consulting knowledge across the firm.

Lead end-to-end development of GenAI web applications, integrate ML models, manage prompt/context and vector DBs, configure agent orchestration, mentor developers, engage clients, and oversee cloud deployments and CI/CD.

Lead client engagements on AI strategy and data transformation, working with C-level stakeholders to define governance, roadmaps, and impact-driven programs. Break down ambiguous problems into structured recommendations, run workshops, align technical delivery with business objectives, and contribute to offer development and thought leadership.

As a Data Scientist - GenAI, you'll design and optimize LLM models, develop AI solutions, and solve complex business challenges through generative AI.

Lead data and AI transformation engagements: define AI and data strategies, advise C-level clients, manage cross-functional teams, drive business development, ensure solution adoption, and contribute to thought leadership and internal training.

Support senior consultants on client projects to define needs, conduct interviews, build and present strategic data recommendations, run workshops/training, propose new services, and contribute to content and research.