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Data Analytics Intern
Invensys - Acquired by Schneider ElectricData Analytics Intern supporting machine learning and data science initiatives at Schneider Electric. Collaborating with teams to analyze and optimize sustainability management data.
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Perform exploratory data analysis (EDA) and data visualization to uncover trends and patterns in data.
- Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.
- Design and develop simulation tools for training and testing ML, deep learning, and AI models.
- Collaborate with other business team resources to identify, develop, test, and new ideas.
- Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP), Reinforcement Learning (RL), and agentic AI.
Requirements
What you’ll need- In the process of completing an undergraduate or graduate degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.
- Have an interest in learning about data analytics, data science and machine learning.
- A “can-do” attitude and the ability to work both independently and within a small group.
- Programming expertise in languages such as Python, SQL, R, MATLAB, Octave, etc.
- Interested in Natural Language Processing, Deep Learning, Transfer Learning, etc.
- Interested in building customer recommendations and analysis of web traffic data.
- Analytical self-starter with strong attention to detail and desire to learn new things.
- Strong organizational and problem-solving skills with the ability to work on multiple complex projects in diverse areas, versatile and capable within multiple disciplines.
Benefits
Comp & perks- Hybrid work model 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score
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Hard Skills & Tools
data analysisdata visualizationoptimization techniquessimulation toolsmachine learningdeep learningNatural Language ProcessingReinforcement LearningPythonSQL
Soft Skills
can-do attitudeindependent workteam collaborationanalytical self-starterattention to detailstrong organizational skillsproblem-solving skillsversatilitycapability in multiple disciplines