Locations: Singapore | Perth
Who We Are
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.
We Are BCG X
We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.
What You'll Do
Are you passionate about developing socially and ethically responsible AI systems? Are you excited by the prospect of supporting projects that apply cutting-edge AI and GenAI models to solve real-world problems? Imagine working with the BCG Responsible AI team, where you can develop and apply innovative tools for testing and evaluating GenAI products. Your daily work would involve designing and implementing testing and evaluation frameworks to help improve product quality and ensure AI systems are safe, secure, and equitable.
Join a team dedicated to exploring creative solutions and pioneering advancements in Responsible AI. Your work will influence the development of GenAI applications, focusing on transparency, accountability, and trustworthiness. On the team, you'll collaborate with brilliant minds and make a tangible impact on shaping the future of AI, ensuring it meets the highest standards for responsibility and effectiveness. You will have the opportunity to support a wide variety of projects, spanning use cases, technologies, industries, and clients. Embrace the challenge of working at the intersection of cutting-edge technology, ethical innovation, and real-world applications.
The Responsible AI Applied Scientist plays a critical role in the BCG Responsible AI team’s safety testing and red teaming efforts, working in conjunction with our 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.
The Responsible AI Applied Scientist will work with a diverse set of stakeholders to:
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
What You'll Bring
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.
