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Salary
≈ $17k – $42k per year (Estimated)
Location
In office (Islamabad)
Seniority
Senior · 4+ years exp

Confirmed on the employer's own hiring board on Oct 24, 2026. First seen by Alion on Aug 13, 2026.

Overview
Company
Impact
Profile match
Systems Limited is the largest information technology company in Pakistan. Its services cover digital transformation, cloud and business process outsourcing. The company serves clients across North America, the Middle East and Asia.

We are looking for an experienced Data Scientist to develop data-driven solutions and build scalable machine learning models that deliver actionable business insights. The ideal candidate will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and support data-driven decision-making.

Requirements:

  • Strong experience in Data Science, Machine Learning, and Statistical Analysis.

  • Proficiency in Python and data science libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.

  • Experience with data preprocessing, feature engineering, and model development.

  • Hands-on experience with SQL and working with large datasets.

  • Experience building predictive, classification, and recommendation models.

  • Knowledge of data visualization tools such as Power BI, Tableau, or Matplotlib.

  • Familiarity with cloud platforms such as Azure, AWS, or Google Cloud Platform.

  • Experience with MLOps concepts, model deployment, and performance monitoring.

  • Strong analytical, problem-solving, and stakeholder management skills.

  • Experience working in Agile environments is preferred.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, or a related field.

  • 4+ years of experience in Data Science, Machine Learning, or Analytics roles.

  • Experience working on end-to-end data science projects is highly preferred.

  • Relevant certifications in Data Science, Machine Learning, or Cloud technologies will be considered an advantage.

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