Junior Data Scientist / ML Analyst

Systems Limited; Islamabad Capital Territory; On-site; PKR 949,000 - 1,228,000; Full time

Job summary

Systems Limited is seeking a highly motivated Junior Data Scientist / ML Analyst to join our team on a 6-month contract. You will work closely with senior data scientists to prepare datasets, build baseline machine learning models, and generate actionable insights for business problems.

This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience, with potential for full-time conversion based on performance and business needs.

Qualifications

• Bachelor's or Master's in Data Science, CS, Statistics, Math or related field.
• Strong Python skills with Pandas/NumPy/Scikit-Learn.
• Solid SQL skills for data extraction and analysis.
• Experience with EDA and data cleaning.
• Ability to develop, test and evaluate baseline models.
• Good communication and ability to present insights.

Responsibilities

• Prepare datasets and support senior data scientists.
• Build baseline machine learning models.
• Generate actionable business insights from analyses.
• Assist in model deployment, testing and monitoring.

Skills

Python (Pandas)

Python (NumPy)

Python (Scikit-Learn)

SQL

ML algorithms

EDA

Code quality

Communication

Education

Bachelor's or Master's in Data Science/CS/Math

Recent graduates welcome

internship/ 프로젝트 experience in DS/ML

Tools

Matplotlib

Seaborn

Power BI/Tableau

Git

AWS/Azure/GCP basics

Job description

We are looking for a highly motivated Junior Data Scientist / ML Analyst to join our team on a 6-month contract. The ideal candidate will work closely with senior data scientists to support high-impact data initiatives by preparing datasets, building baseline machine learning models, and generating actionable insights. This role offers an excellent opportunity for recent graduates or early-career professionals to gain hands-on experience in solving real-world business problems, with the potential for full-time conversion based on performance and business needs.

Requirements:

• Strong proficiency in Python, including Pandas, NumPy, and Scikit-Learn.
• Solid SQL skills for data extraction, querying, and analysis.
• Good theoretical and practical understanding of core Machine Learning algorithms such as Linear Regression, Logistic Regression, Decision Trees, Random Forests, and K-Means.
• Experience in data cleaning, preprocessing, and Exploratory Data Analysis (EDA).
• Ability to develop, test, and evaluate baseline machine learning models.
• Strong analytical, problem-solving, and critical thinking skills.
• Ability to write clean, maintainable, and well-documented code.
• Strong communication skills with the ability to present technical concepts and data insights to non-technical stakeholders.
• Ability to collaborate effectively with cross-functional teams and support model deployment, testing, and performance monitoring.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Recent graduates and early-career professionals are encouraged to apply.
• Previous internship, academic, or project experience in Data Science, Machine Learning, or Analytics is preferred.
• Familiarity with data visualization tools and libraries such as Matplotlib, Seaborn, Tableau, or Power BI is an advantage.
• Basic exposure to cloud platforms (AWS, Azure, or GCP) and version control tools such as Git is preferred.
• Experience or interest in the Banking, Financial Services, or Wealth Management domain will be considered a plus.