Global Operations Data Science Intern

Job Summary

As a Data Scientist Intern within the Global Operations team, you will play a crucial role in adopting AI/ML technologies to enhance business processes and improve ROI. This internship offers a unique opportunity to gain hands-on experience in data science, machine learning, and AI, and to apply your academic knowledge to real-world business challenges.

Key Responsibilities:

Job Requirements

• Assist in the development and implementation of AI/ML models to optimize business processes and improve operational efficiency.
• Work alongside experienced data scientists to analyze data, build models, and test hypotheses aimed at enhancing business process ROI.
• Participate in cross-functional projects to apply AI/ML solutions to various business problems.
• Learn and apply best practices in data exploration, model development, and algorithm optimization.
• Engage with the latest AI/ML technologies and methodologies under expert guidance.
• Support the team in ensuring data integrity and security in all AI/ML applications.
• Conduct market research and data analysis to identify opportunities for AI/ML adoption and process improvement.
• Develop financial models and perform data-driven financial analysis to support decision-making processes.

Education

• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Economics, Business Administration, or a related field.
• Academic or project experience in AI/ML model development.
• Basic programming skills in Python, R, or other data science languages.
• A keen interest in AI/ML frameworks and libraries such as Langchain, scikitlearn.
• Experience in financial modeling, market research, and data analysis.
• Proficiency in MS Excel, including pivot tables, and familiarity with financial analysis tools.
• A strong desire to learn and a collaborative work ethic.

Compensation:
Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off (PTO), various Leave options, Performance-Based Incentives, employee stock purchase plan, and/or restricted stocks (RSU’s), with all offerings subject to regional variations and governed by local laws, regulations, and company policies. Benefits may vary by country and region, and further details will be provided as part of the recruitment process.