Data & Analytics Data Scientist - AI - Senior Managing Consultant Professional GB

Responsibilities

• Strategic leadership of large end-to-end AI solutions, advanced analytics and automation engagements from discovery to deployment.
• Act as a trusted advisor to senior client stakeholders, translating business challenges into data‑driven solutions and articulating the value of AI.
• Translate complex data into actionable insights and strategic recommendations.
• Collaborate with cross‑functional teams including consultants, engineers, and client stakeholders.
• Design and implement machine learning models, statistical analyses, and AI solutions tailored to client needs.
• Lead business development through proposal writing, solutioning, and client presentations.
• Mentor and coach junior data scientists and analysts.
• Stay current with emerging technologies and methodologies in AI/ML and data science.

• Bachelor's Degree

• Master's Degree

• Full AI Project Lifecycle:
  Experience in managing the full AI project lifecycle, from research and prototyping to deployment in production environments in a consulting or enterprise environment. Excellent communication and stakeholder management skills.
• Advanced Analytics Techniques:
  Experience with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as Tensor Flow, PyTorch, Keras, or Hugging Face.
• NLP and ML Methods:
  Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large language models.
• AI Solution Development:
  Experience in architecting and delivering AI solutions using cutting‑edge technologies, including tools like Git Hub Copilot and Amazon Code Whisperer.
• Cloud Platforms and Services:
  Familiarity with cloud platforms (e.g., Kubernetes, AWS, Azure, GCP, IBM Cloud) and related services, as well as experience with relational and No
  
  SQL databases (SQL, Postgres, DB2, Mongo
  
  DB).
• Foundation in Specialized Areas:
  Experience with one of the following areas: NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies, enabling optimization of AI solutions and driving business value.
• Proficiency in Modern UI Frameworks:
  Familiarity with modern UI frameworks such as Backbone.js, Angular
  
  JS, React.js, Ember.js, Bootstrap, and JQuery, allowing for seamless integration with AI solutions.
• Operating System Knowledge:
  Experience working with various operating systems, including Linux, Windows, iOS, and Android, facilitating smooth deployment of AI solutions across different environments.
• PhD or equivalent experience is a plus (preferable in Data Science, Computer Science, Statistics, or a related field).