Intel's Global Customer Audit Team is seeking a highly motivated and talented Customer Audit Data Scientist. This is an exciting opportunity for a graduate with a Bachelor's degree in Computer Science to kickstart their career in a dynamic and innovative environment.
As part of our team, you will play a crucial role in supporting the creation and maintenance of end-to-end applications leveraging AI and Machine Learning that support our anomaly detection and risk sensing efforts. You will work closely with cross-functional teams to derive insights from big data analytics from both internal and external data.
Key responsibilities include:
- Support in the development and implementation of customer compliance risk AI and Machine Learning models on evolving internal and external environment, as well as new fact patterns/MO's as discovered in customer audits. Monitor model accuracy and recommend changes as needed.
- Partner with IT and data scientists on key model development and productization tasks, such as data engineering, data validation, model testing and documentation.
- Gather relevant market intelligence through web scraping and sentiment analysis
- Analyze large datasets to extract actionable insights and present findings to stakeholders using PowerBI.
- Explore and execute automation opportunities on key audit analyses/tasks to generate efficiencies
- Utilize SQL for database management and data manipulation.
- Stay up-to-date with the latest advancements in AI, Machine Learning, and data science technologies.
- Coach and mentor junior risk analyst as well as other folks in team learning data science, gen AI and automation tools
Qualifications and Experience:
- Bachelor's degree in Computer Science.
- Minimum 2 years of working experience.
- Strong foundation in AI, Machine Learning, and data science concepts.
- Proficiency in programming languages such as Python, SQL.
- Experience with data analysis and visualization tools (e.g., Pandas, NumPy, Plotly, PowerBI).
- Familiarity with SQL for database management and data manipulation.
- Familiarity with software engineering practices, including version control (e.g., Git) and agile methodologies.
- Excellent problem-solving skills and the ability to work independently and collaboratively.
- Strong communication skills and the ability to present complex technical information to non-technical stakeholders.
- Passion for continuous learning and staying current with industry trends