ESG & CSR Bias Mitigation Specialist — Master-Level Internship

Currently enrolled or recently graduated from a Master’s program in Computer Science, Data Science, Statistics, or a related field. Experience in AI/ML development, bias mitigation, or a related field. Strong programming skills in Python, R, or similar languages. Experience in AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Proficiency in data analysis, statistical methods, and fairness metrics. Deep understanding of algorithmic bias, fairness metrics, and data diversity principles. Familiarity with industry frameworks and tools for bias detection and mitigation (e.g., AI Fairness 360, SHAP, LIME).

Analyze AI algorithms and datasets to identify potential sources of bias and inequity. Develop and implement strategies to mitigate identified biases, ensuring fairness in AI outcomes. Collaborate with data scientists, engineers, and product teams to integrate bias mitigation techniques into AI development workflows. Contribute to the creation or improvement of tools and methodologies for bias detection and correction. Design and conduct experiments to evaluate the effectiveness of bias mitigation techniques. Provide training and resources to internal teams to enhance awareness of bias in AI systems. Stay updated on the latest research, tools, and regulatory developments in bias mitigation and ethical AI. Maintain clear documentation of bias mitigation processes and produce reports for internal and external stakeholders.