
Principal Data Scientist
- Bangalore, Karnataka
- Permanent
- Full-time
- Clearly communicate with diverse teams including legal, compliance, and AI development over a wide variety of AI methods including Generative AI and traditional ML
- Document findings, create reports, and present results to stakeholders
- Design, and develop job aids and guidance documentation for best practices of responsible AI
- Develop Python scripts to automate testing processes and analyze results
- Help identify vulnerabilities related to PII/PHI exposure in AI interaction
- Maintain test data sets and contribute to improving testing methodologies
- Stay abreast of the latest developments in AI/ML research and incorporate relevant findings into work
- Provide mentorship and guidance to colleagues, fostering a culture of continuous learning and improvement
- Assist in designing and executing Red Team testing scenarios for conversational AI systems
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
- Bachelor's degree plus over five years of experience in computer science, applied mathematics, applied statistics, or related quantitative fields
- Extensive experience with advanced natural language processing models and Python-based ML frameworks such as scikit-learn, Pandas, and Numpy
- Deep understanding of AI ethics and fairness considerations
- Solid analytical and problem-solving skills
- Experience collaborating with cross-functional teams including product managers and business stakeholders
- Familiarity with healthcare systems including claims payment and call centers
- Ability to translate business needs into technical solutions
- Knowledge of large language models, conversational AI, prompt engineering, and adversarial testing
- Awareness of regulatory frameworks relevant to AI in healthcare
- Basic understanding of information security principles