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Data Science Intern (Global Finance)

  • Internship
    Full-time
    Summer Internship
  • Data
    IT & Cybersecurity
  • Boston
  • 5d left

AI generated summary

  • You should be pursuing a degree in a relevant field, have knowledge of statistical/ML models, Python skills, data visualization expertise, and strong problem-solving abilities. Passion for learning is essential.
  • You will research and test models, perform data analysis and visualization, provide insights for product development, conduct ad-hoc analyses, and engage in scrum ceremonies.

Requirements

  • Pursuing a degree in Computer Science, Engineering, Mathematics, Economics or equivalent
  • Understanding of concepts for statistical and ML models, ideally for time series forecasting
  • Programming skills in Python (NumPy, Pandas) for data manipulation and analysis
  • Data visualization skills (Matplotlib/Plotly)
  • Problem-solving skills: applying analytical thinking to solve tasks with support from senior developers
  • Passionate about learning every day

Responsibilities

  • Support in research, design, and testing of statistical and machine learning models
  • Assist in exploratory data analysis, data extraction & transformations
  • Visualize data for internal & external use
  • Provide data driven insights and recommendations to support product development
  • Perform any ad-hoc analysis based on business needs
  • Actively participate in scrum ceremonies including sprint planning, daily stand-up, sprint review and retrospectives

FAQs

What is the duration of the Data Science Internship?

The Data Science Internship is for Summer 2025.

Where is the Data Science Internship located?

The internship is based in our Boston Hub.

What qualifications are required for the internship?

Candidates should be pursuing a degree in Computer Science, Engineering, Mathematics, Economics, or a related field.

Are there any specific programming skills required?

Yes, candidates should have programming skills in Python, particularly with libraries like NumPy and Pandas for data manipulation and analysis.

Is knowledge of machine learning concepts necessary?

Yes, an understanding of statistical and machine learning models, especially for time series forecasting, is ideal.

Will I be involved in team activities?

Yes, interns are expected to actively participate in scrum ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.

What kind of tasks will I be doing during the internship?

Interns will support research, design, and testing of statistical and machine learning models, assist in data analysis, visualize data, and provide insights for product development, among other ad-hoc analyses.

Is there an opportunity for professional development?

Yes, the internship offers invaluable experience and the chance to develop professional skills within an international company.

How does Schneider Electric prioritize diversity and inclusion?

Schneider Electric seeks to reflect the diversity of the communities in which it operates, promoting an inclusive culture where all forms of diversity are valued.

How can I apply for the Data Science Internship?

You must submit an online application to be considered for the position, and it will remain open until filled.

Leading the Digital Transformation of Energy Management and Automation.

Manufacturing & Electronics
Industry
10,001+
Employees
1836
Founded Year

Mission & Purpose

Schneider Electric's purpose is to empower all to make the most of our energy and resources, bridging progress and sustainability for all. We call this Life Is On. Our mission is to be your digital partner for Sustainability and Efficiency. We drive digital transformation by integrating world-leading process and energy technologies, end-point to cloud connecting products, controls, software and services, across the entire lifecycle, enabling integrated company management, for homes, buildings, data centers, infrastructure and industries. We are the most local of global companies. We are advocates of open standards and partnership ecosystems that are passionate about our shared Meaningful Purpose, Inclusive and Empowered values. Recognized as the world’s most sustainable company in 2021 by Corporate Knights Global 100 Index.