Data Scientist Intern

About the Role:

As a Data Science Intern you will be an essential contributor to our AI-driven initiatives.Youllleverageyour knowledge in statistics machine learning and programming to analyze large datasets and deliver insights that drive key business decisions. This role offers the opportunity to work alongside experienced professionals and collaborate across multiple teams gaining valuable exposure to real-world AI applications in renewable energy supply chain and industrial operations.

You will be working closely with team members who have deep technical skills and a passion for solving complex problems with data science and machine learning.

You Will:

• Analyze complex datasets to extract actionable insights for renewable energy supply chain and industrial applications

• Develop and apply machine learning models to solvereal businesschallenges

• Apply data mining techniques statistical analysis and help build prediction systems

• Assistin feature selection data preprocessing and model optimization

• Collaborate with cross-functional teams to design data-driven solutions

• Create automated anomaly detection systems and track performance metrics

• Present findings and results to both technical and non-technical stakeholders

• Contribute to product development by implementing algorithms in our platform

YoullHave:

• Currently enrolled or recently graduated with a Bachelors orMasters degree in Data Science Statistics Computer Science Mathematics Physics Engineering or a related field

• Proficiencyin programming languages such as Python or R

• A solid understanding of machine learning techniques and algorithms (regression classification clustering)

• Experience with data manipulation libraries (Pandas NumPy)

• Familiarity with data visualization tools (Matplotlib SeabornPlotly)

• Strong problem-solving skills and a collaborative mindset

• Excellent written and verbal communication skills

• A can-do attitude and desire to make a difference

Nice to Have:

• Familiarity with Deep Learning frameworks such as TensorFlow orPyTorch

• Experience with time series analysis and forecasting

• Knowledge ofindustrial systemsor IoT time series data

• Interest in or exposure to AI agents and agentic workflows

• Familiarity with RAG (Retrieval-Augmented Generation) concepts and LLM applications

• Exposure to cloud platforms (AWS GCP Azure)

• Experience with SQLor Graphdatabases

• Portfolio of projectsdemonstratingdata science skills (GitHub Kaggle etc.)

• Ability to stay for an extended co-op or full-time opportunity after internship

Coding Challenge:

As part of the interview process you will be asked to complete a technical assessment.

Salary Range: $30-$35/hour