Junior Data Scientist: Python, SQL & Analytics

i2c Inc

Lahore

On-site

PKR 670,000 - 1,339,000

Full time

14 days+

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Job summary

i2c Inc in Lahore, Pakistan invites a junior data analyst to join our team. You will clean, explore and analyze transaction and application data using Python and SQL, and build simple supervised models and baseline experiments.

You will create features, run feature importance checks, and write clear pipelines and reports for product and engineering teams. Collaboration with senior data scientists and engineers to deploy and monitor models is expected, with emphasis on reproducible notebooks and

Qualifications

  • BS/MS in CS/IT/CE/EE/SE or equivalent.
  • 0-1 year of experience in data analysis or a related role.
  • Proficient in Python and SQL for data manipulation and reporting.
  • Clear communicator with strong teamwork and attention to detail.

Responsibilities

  • Clean, explore, and analyze transaction and application data using Python and SQL.
  • Build and evaluate simple supervised models and baseline experiments.
  • Create features and run feature importance/interpretability checks.
  • Write clear SQL queries and Python scripts for data pipelines and ad-hoc analysis.
  • Produce concise reports and visualizations to communicate findings to product and engineering teams.
  • Collaborate with senior data scientists and engineers to deploy and monitor models.
  • Learn and follow best practices: version control, reproducible notebooks, and unit testing for data code.

Skills

Python
SQL
Communication
Analytical thinking
Problem solving
Team player
Attention to detail
Self-organization

Education

BS/MS - CS/IT/CE/EE/SE

Tools

Jupyter notebooks
Git
Matplotlib/Plotly
Spark
Docker/Kubernetes

Job description

i2c Inc in Lahore, Pakistan invites a junior data analyst to join our team. You will clean, explore and analyze transaction and application data using Python and SQL, and build simple supervised models and baseline experiments.

You will create features, run feature importance checks, and write clear pipelines and reports for product and engineering teams. Collaboration with senior data scientists and engineers to deploy and monitor models is expected, with emphasis on reproducible notebooks and

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