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Data Scientist Internship

Propeterra
Email

 Job Title: Data Scientist
Location: Remote
Employment Type: Internship
Department: Data Science / Engineering
Reports To: Head of Data Science / CTO

About Us:

We are a fast-growing technology company using data to solve complex real-world problems. Our platforms combine artificial intelligence, big data, and geospatial intelligence to power decision-making across industries. We are looking for a talented Data Scientist to join our growing team and help shape the future of data-driven innovation.

Role Overview:

As a Data Scientist, you will be responsible for developing predictive models, generating insights from structured and unstructured datasets, and helping translate data into strategic opportunities. You will work closely with engineers, product managers, and business stakeholders to deliver high-impact solutions.

Key Responsibilities:

  • Build, validate, and deploy machine learning models for prediction, classification, and recommendation
  • Conduct exploratory data analysis and present actionable insights to stakeholders
  • Collaborate with data engineers to build scalable data pipelines and ensure data integrity
  • Develop and maintain dashboards, reports, and visualisations using tools like Tableau, Power BI, or Plotly
  • Work with large-scale datasets from multiple sources (APIs, databases, geospatial files, etc.)
  • Communicate complex analytical concepts to non-technical audiences
  • Stay up to date with the latest research, tools, and best practices in data science and AI

Requirements:

Essential:

  • Bachelor's or Master’s degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
  • 3+ years of hands-on experience in a data science role
  • Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, XGBoost, TensorFlow/PyTorch)
  • Solid experience with SQL and working with relational databases
  • Strong analytical thinking and problem-solving skills
  • Familiarity with cloud platforms (e.g., AWS, GCP, or Azure)
  • Ability to clearly document work and collaborate in cross-functional teams

Desirable:

  • Experience working with time series, spatial-temporal data, or geospatial datasets
  • Knowledge of deep learning techniques, NLP, or computer vision
  • Exposure to MLOps tools and techniques for model deployment and monitoring
  • Experience with big data tools like Spark or Dask

What We Offer:

  • Competitive salary and equity package
  • Flexible work hours and remote-first setup
  • Professional development and training opportunities
  • Supportive and collaborative team culture
  • Meaningful work that makes a global impact

     
  • The expected pay rate ranges from $1,000 to $2,000, depending on experience.
  • We accept interns for a minimum duration of 2 months, with a preference for commitments of 3 to 4 months.