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ISO/IEC 27001:2013

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ISO/BQSR 14001:2015

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Trainee Data Science


Company Profile

Programmers Force is a product-driven software company that excels in the field of Artificial Intelligence and Machine Learning since 2016. The company was founded by a team of visionary entrepreneurs that led its operations under software development, data science, DevOps, system architecture, big data processing, and blockchain-based applications development. We take pride in our diversified workforce with talent coming from top institutions of Pakistan and abroad. Our vision is to create innovative and intelligent business solutions through the development of smart web & mobile applications with a mission to support global industries in their day-to-day business challenges. Our specialised teams possess tacit knowledge of high-tech systems that enables us to tap businesses from more than 200 countries worldwide. This is just the beginning for us! We are in search of talented candidates with technical expertise who can add value to our fast-paced and work-intensive environment.

Tack of Programmers Force

Not only the way out but the best way out! No rather, no “one or two” but a must for all. Win-Win is the goal.

Job Description:

We are looking for a Trainee Batch Data Scientist to join our team and assist us with developing data-driven solutions for our business. The successful candidate will work closely with our experienced data scientists to learn and develop their skills in data analysis, machine learning, and data engineering. The ideal candidate is passionate about data science, has strong problem-solving skills, and is eager to learn and grow in a fast-paced, dynamic environment.

Key Responsibilities:

  • Work collaboratively with the data science team to develop data-driven solutions for our business
  • Assist with data collection, processing, and cleaning
  • Conduct exploratory data analysis to identify patterns and insights in data
  • Develop and evaluate machine learning models for prediction, classification, and clustering
  • Implement data pipelines for processing and analysis of large datasets
  • Participate in code reviews to ensure adherence to coding standards and best practices
  • Continuously learn and develop new skills in data science


  • Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (or relevant work experience)
  • Strong programming skills in one or more languages (e.g., Python, R, Java)
  • Familiarity with data processing and analysis libraries and tools (e.g., NumPy, Pandas, SciPy, Scikit-learn)
  • Understanding of machine learning algorithms and techniques
  • Familiarity with database systems and SQL
  • Strong problem-solving and analytical skills
  • Excellent verbal and written communication skills


  • Lunch on the House
  • Flexible Working Hours
  • Payment for Overtime
  • Annual Leaves 
  • Enjoy your weekend, we work on weekdays only
  • Health Insurance
  • Life Insurance 
  • Provident Fund
  • EOBI
  • Advance Salary 
  • Family Care 
  • Family Treat 
  • Personal Loan
  • In House Trainings
  • Certifications 
  • Surprise Gifts & Performance based Bonuses
  • Performance based salary increment and promotion
  • Gym & Indoor Gaming – Perfect balance between work and play
  • Opportunity to engage in frequent local and international trips
  • Child Education 
  • Marriage Allowance 
  • Maternity Allowance 
  • Home Allowance
  • Hostel Allowance 
  • Travel Allowance
  • Personal Growth – Learn the best from the best
  • Bike
  • Car

Apply as Trainee Data Science

    • Personal Infomation
    • Select Gender*

    • Date of Birth*

    • Full Name*

    • Email*

    • CNIC (without dashes)*

    • Contact Number*

    • Address*

    • City*

    • Academic Info
    • Qualification*

    • Year of Completion*

    • University (No abbreviations)*

    • Currently working?*

    • Expected Salary in PKR*

    • What is your expected date of joining?*

    • Where did you hear about us?*

    • Experience*

    • CV, Resume* (pdf only)*

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