Finance Analytics & Reporting Team: Intern

Finance Analytics & Reporting Intern

(Duration: 6 months)

About the Team

Join the Finance Analytics and Reporting Team, a key group responsible for the systems underpinning our financial forecasts. The team bridges Sales and Financial Planning, ensuring accurate and insightful financial data to support strategic decision-making.

About the Role

We are seeking a motivated Finance Analytics & Reporting Intern, major in Computer Science, Natural Processing Language, Large Language Models, Chatbots, to explore innovative solutions and develop proof-of-concept AI tools within the finance department. This internship offers a unique opportunity to work at the intersection of finance, data analytics, and emerging AI technologies.

Responsibilities

• Collaborate with the team to identify opportunities for AI and automation within financial processes.

• Explore available tools and platforms, including Databricks, Snowflake, Microsoft 365, and Tableau.

• Develop and test AI-driven proof-of-concept solutions, such as:

Conversational agents using Microsoft 365 to answer questions about finance policies or SOPs.

Chatbots integrated with Microsoft Teams linked to these agents

Interactive interfaces within Snowflake tables using Streamlit to assist users in locating reports, dashboards, or answering queries directly from Snowflake data.

Document findings, create demonstrations, and gather feedback for potential future deployment.

Requirements

• Are Currently pursuing a degree in Computer Science, Artificial Intelligence, Large Language Model, Natural Language processing ,

• Express interest in AI, automation, and data analytics

• Display basic understanding of financial systems and reporting tools.

• Have familiarity with programming languages such as Python, SQL.

• Display excellent problem-solving skills and curiosity to explore new technologies.

• Have good communication skills and ability to work collaboratively.

What You Will Gain

Hands-on experience in AI development and data analytics within a financial context

Exposure to cutting-edge tools and platforms like Databricks, Snowflake, and Microsoft 365

Opportunity to create tangible proof-of-concept solutions that could impact real business processes

Mentorship from experienced professionals in finance and technology

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