Data Science Intern

Description:

What you’ll do:

• Create predictive analytics to test the business unit’s direction and decision making.

• Leverage advanced techniques to develop and deploy AI solution for various business purposes. Deploy and disseminate tools, techniques and products that extend our capabilities and deliver new business value.

• Develop an understanding of current and potential customers and translating that understanding into actionable insights that drive business performance.

• Provide knowledge in data science, machine learning, artificial intelligence & software engineering.

• Participate in the development, and maintenance of AI systems and applications using machine learning techniques, neural networks, and deep learning algorithms on the Microsoft Azure platform.

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to identify and solve complex problems.

• Conduct research and stay up-to-date on emerging trends and technologies in AI and machine learning, particularly in relation to the Azure ecosystem.

• Develop and implement advanced algorithms to improve the efficiency and performance of our AI systems, ensuring seamless integration with Azure services.

• Analyze and process large datasets to extract meaningful insights and patterns, leveraging Azure and Databricks’ processing capabilities.

• Work on model training, validation, and testing to ensure the accuracy and reliability of our AI systems, using Azure Machine Learning and other relevant API, SDK and services.

• Design and implement correct endpoints, ad groups, and service accounts within the Azure environment to ensure secure and efficient access to AI services.

• Implement end-to-end solutions based on the suggested architecture provided by the solution architect.

• Participate in code reviews and contribute to the development of best practices for AI engineering.

What you bring:

• Pursuing a Bachelor/ Master's degree in Data Science, Computer Science, Statistics, Applied Math, or any related discipline.

• Experience Python & SQL is required. Background in other programming is beneficial.

• Experience in different AI applications, e.g. NLP, marketing, image recognition, etc.

• Experience working with large data sets, simulation/optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)

• In-depth knowledge of Microsoft Azure platform, including experience with Azure Machine Learning, Azure Cognitive Services, and other relevant AI services.

• Familiarity with service endpoints, ad groups, and service accounts to ensure a secure and efficient working environment.

• Ability to implement end-to-end solutions based on a provided architecture, leveraging Azure's wide range of services and capabilities.

• Experience working in startup environment or organizations with an agile culture.

• Professional attitude and service orientation; superb team player

• Strong written and verbal communication skills along with strong desire to work in cross-functional teams.

• Strong problem-solving skills to mature data governance, data management, and data architecture across the Business Unit

• Able to build a sense of trust and rapport that creates a comfortable & effective workplace

• Attitude to thrive in a fun, fast-paced environment.