Senior Applied Scientist, Responsible AI – X Delivery

Senior Applied Scientist, Responsible AI – X Delivery

Locations: Singapore | Perth

Overview

Join the BCG X Responsible AI team to develop and apply innovative tools for testing and evaluating GenAI products. You will design and implement testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable. The Responsible AI Applied Scientist plays a critical role in safety testing and red teaming efforts, working with AI and GenAI product teams to ensure alignment with our Responsible AI policy, principles, and standards, and to support the design, continuous improvement, and execution of the overall Responsible AI program at BCG.

Responsibilities

• Develop tools and techniques to scale and accelerate AI risk assessment and measurement across BCG and our clients
  
• Collaborate with product teams to influence quality and risk measurement and mitigations in AI/GenAI products through manual efforts and scalable, quantitative approaches
  
• Research new and emerging threats and measurement/evaluation approaches to ensure our approaches stay on the cutting-edge
  
• Work with small technical teams executing risk assessment and measurement on AI/GenAI products
  
• Train and mentor technical practitioners on measurements and evaluation approaches for GenAI products
  
• Remain up to date on emerging frameworks, standards, and technical approaches, and related issues by participating in workshops, reading professional publications, maintaining personal networks, and participating in professional organizations
  

Qualifications

• Ideal candidates will have at least 3 years of professional data science or quantitative research experience; prior professional services experience and experience in Responsible AI are a plus
  
• Ability to proactively identify ethical, social, and business risks posed by AI systems
  
• Passion for building things and comfort working with modern data science development tools
  
• Experience designing and analyzing experiments using advanced statistical methods
  
• Experience and enthusiasm for working with Generative AI technologies
  
• Broad conceptual understanding of ML and AI paradigms (e.g., tree-based and gradient-boosted models, deep learning)
  
• Strong time management and organizational skills with the ability to prioritize and execute projects independently
  
• Team player mindset with an ability to work on diverse, cross-functional teams
  
• Excellent written, verbal, and visual communication skills
  
• Ability to explain sophisticated data science concepts to non-technical audiences and translate analytical results into business implications
  

Technical Skills Must Have Experience

• Design and analysis of experiments
  
• Statistical modeling, including hierarchical linear models
  
• GenAI, including prompt engineering and programmatically interacting with foundation models through APIs, e.g., OpenAI, Anthropic, HuggingFace
  
• Python and the open-source data science ecosystem (e.g., Jupyter, pandas, scikit-learn, statsmodels, plotly, etc.)
  
• Version control with git
  

Nice To Have Experience

• Familiarity with software engineering practices (e.g., unit testing, CI/CD)
  
• Exposure to cloud platforms (AWS, Azure, GCP) or SQL databases
  
• Knowledge of AI risk management frameworks e.g., NIST AI RMF, ISO 42001
  
• Developer tools including IDEs (e.g., VSCode, Pycharm), environment management (e.g., pyenv, conda, poetry, docker)
  

Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Seniority level

• Mid-Senior level
  

Employment type

• Full-time
  

Job function

• Research, Analyst, and Information Technology
  

Industries

• Business Consulting and Services
  

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