Overview
In this role you will help transform business objectives into measurable outcomes by building end-to-end data, analytics, and AI/ML solutions. You will work with global experts to design scalable data platforms, deploy production-ready models, and create dashboards while upholding governance and privacy standards. You will use modern tools to deliver data-driven insights that impact clients and the business at scale. This program emphasizes hands-on experience, mentorship, and cross-functional collaboration to accelerate your career in data and AI.
Responsibilities
- Build intelligent systems powering real business outcomes, from ML models to generative AI and agent-based solutions.
- Design, develop, and deploy AI capabilities to automate processes and inform decisions.
- Apply data, statistics, and modeling to solve complex problems and generate actionable insights.
- Develop predictive models, test hypotheses, and analyze trends to support data-driven decisions.
- Support data governance, risk management, and data standards to ensure data security and readiness for AI use.
- Implement controls and improve data quality to ensure safe, scalable, and effective solutions.
- Collaborate in agile teams and contribute ideas from day one to support growth and impact.
Key requirements
- Pursuing Bachelor’s or 5th-year Master’s with expected graduation Jan 2027–Sep 2027 and able to start full-time Sep 2027
- Streams in Computer Science, Information Science, Information Technology, Data Science, AI, Big Data, or related field
- Oral and written fluency in English
- clear written and verbal communication
- ability to translate technical work for business stakeholders
- cross-functional collaboration in agile environments
- machine learning and data science principles including prompt engineering
- SQL and Python programming
- experience with AWS, CoPilot, Snowflake, DataBricks, LLM
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