About CodeNinja CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations—combining strong engineering fundamentals with
Job Summary: As a Data Architect at Creative Chaos, you will be responsible for designing, building, and managing the data architecture of our organization. You will work closely with stakeholders, data scientists, and engineers to develop scalable
Why Aqovia? We don’t just build software, we engineer impact. Aqovia is an international technology firm focused on creating real-world value through AI, data, and bespoke software solutions. Our model is unique. Beyond delivering high-end services
Job Title: Lead Data Analyst Location: Lahore/Islamabad/Karachi Timings: 5:00 PM – 2:00 AM PKT Employment Type: Full-time Summary Our Client is seeking a Lead Data Analyst to develop impactful data solutions that empower business stakeholders to
About Jeeny: Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
Grade Level: L2 Location: Islamabad Last Date to Apply: 2nd July 2026 What is a Data Scientist - Teknosys? The Data Scientist is a core technical role responsible for designing, developing, and delivering data-driven solutions that create tangible
This is a remote position. The Data Scientist will assist in collecting, analyzing, and interpreting data to solve business problems and improve product performance. This role is ideal for early-career professionals interested in machine learning, statistical analysis, and
Job Brief: Creative Chaos is looking for a talented Senior Data Scientist to join our innovative team. The ideal candidate will possess extensive experience in data analysis, machine learning, and statistical modeling. This role requires analyzing large datasets