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<div>Site Name: Pakistan - Sindh - Karachi 
Posted Date: Mar 3 2026 
Job Purpose
You will design and deliver data-driven solutions that improve how we connect with customers and measure impact. You will work closely with analytics, and commercial teams to build models, dashboards and reports. We value curiosity, clear communication, and a practical, outcomes-focused approach. This role offers growth, technical stretch and real impact as you help unite science, technology and talent to get ahead of disease together. 
 
Key Responsibilities<ul><li>
Build, validate and deploy predictive and descriptive models to answer business questions and guide decisions.</li><li>
Develop automated pipelines to collect, clean and transform data from multiple sources.</li><li>
Create sales specific dashboards and reports that make insights easy to understand for non-technical colleagues.</li><li>
Design and analyze A/B tests and other experiments to measure campaign and channel effectiveness.</li><li>
Work with data engineers, IT and stakeholders to ensure data quality, governance and operational readiness.</li><li>
Present insights, findings and recommendations clearly to cross-functional teams and senior stakeholders.</li></ul> 
Education, Experience &amp; Skills<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.</li><li>
1 to 5 years experience working in data science, analytics, or related roles.</li><li>
Strong programming skills in Python or R and proficiency in SQL.</li><li>
Practical experience building machine learning models and productionising them.</li><li>
Experience with data visualisation tools such as Power BI, Tableau, or similar.</li><li>
Comfortable working on-site in Pakistan with a hybrid working pattern as agreed with your manager.</li><li>
Experience with cloud platforms such as Azure, AWS or Google Cloud.</li><li>
Familiarity with big data tools such as Databricks, Spark, or data engineering frameworks.</li><li>
Experience with CI/CD, automated testing and DevOps practices for data projects.</li><li>
Exposure to omnichannel, marketing analytics, customer segmentation or experiment design.</li><li>
Strong stakeholder management and experience communicating technical work to business audiences.</li></ul> 
What we value in you<ul><li>
A curiosity for solving messy, real-world problems with data.</li><li>
Clear and simple communication that helps others act on insights.</li><li>
Teamwork and respect for different perspectives.</li><li>
A pragmatic approach that balances rigor with delivering value quickly.</li><li>
A commitment to ethical use of data and strong data stewardship.</li></ul>
Why GSK? 
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
Contact information: 
You may apply for this position online by selecting the Apply now button.
Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.</div>

Data Scientist

<div>
 
 Site Name:
 
 Pakistan - Sindh - Karachi
 
 
 
 Posted Date:
 
 Mar 3 2026
 
 
 
 Job Purpose
 
 
 
 You will design and deliver data-driven solutions that improve how we connect with customers and measure impact. You will work closely with analytics, and commercial teams to build models, dashboards and reports. We value curiosity, clear communication, and a practical, outcomes-focused approach. This role offers growth, technical stretch and real impact as you help unite science, technology and talent to get ahead of disease together.
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Build, validate and deploy predictive and descriptive models to answer business questions and guide decisions.
 </li>
 <li>
 Develop automated pipelines to collect, clean and transform data from multiple sources.
 </li>
 <li>
 Create sales specific dashboards and reports that make insights easy to understand for non-technical colleagues.
 </li>
 <li>
 Design and analyze A/B tests and other experiments to measure campaign and channel effectiveness.
 </li>
 <li>
 Work with data engineers, IT and stakeholders to ensure data quality, governance and operational readiness.
 </li>
 <li>
 Present insights, findings and recommendations clearly to cross-functional teams and senior stakeholders.
 
 
 
 </li>
 </ul>
 
 Education, Experience &amp; Skills
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 1 to 5 years experience working in data science, analytics, or related roles.
 </li>
 <li>
 Strong programming skills in Python or R and proficiency in SQL.
 </li>
 <li>
 Practical experience building machine learning models and productionising them.
 </li>
 <li>
 Experience with data visualisation tools such as Power BI, Tableau, or similar.
 </li>
 <li>
 Comfortable working on-site in Pakistan with a hybrid working pattern as agreed with your manager.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS or Google Cloud.
 </li>
 <li>
 Familiarity with big data tools such as Databricks, Spark, or data engineering frameworks.
 </li>
 <li>
 Experience with CI/CD, automated testing and DevOps practices for data projects.
 </li>
 <li>
 Exposure to omnichannel, marketing analytics, customer segmentation or experiment design.
 </li>
 <li>
 Strong stakeholder management and experience communicating technical work to business audiences.
 
 
 
 </li>
 </ul>
 
 What We Value In You
 
 
 
 
 <ul>
 <li>
 A curiosity for solving messy, real-world problems with data.
 </li>
 <li>
 Clear and simple communication that helps others act on insights.
 </li>
 <li>
 Teamwork and respect for different perspectives.
 </li>
 <li>
 A pragmatic approach that balances rigor with delivering value quickly.
 </li>
 <li>
 A commitment to ethical use of data and strong data stewardship.
 
 
 
 </li>
 </ul>
 
 Why GSK?
 
 
 Uniting science, technology and talent to get ahead of disease together.
 
 
 
 GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases &ndash; to impact health at scale.
 
 
 People and patients around the world count on the medicines and vaccines we make, so we&rsquo;re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.
 
 
 
 Contact information:
 
 
 
 You may apply for this position online by selecting the
 
 Apply now
 
 button.
 
 
 
 Important notice to Employment businesses/ Agencies
 
 
 
 GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.
</div>

CareCloud

Key Responsibilities:<ul><li>Develop, maintain, and optimize ETL/ELT data pipelines.</li><li>Extract, transform, and load healthcare data from multiple sources (EHR/EMR systems, billing systems, APIs, etc.).</li><li>Design and maintain databases, data warehouses, and data models.</li><li>Ensure data quality, integrity, and validation across systems.</li><li>Write efficient SQL queries for data extraction and reporting.</li><li>Collaborate with BI developers, analysts, and software engineers to deliver reliable datasets.</li><li>Support data integration with third-party healthcare systems.</li><li>Monitor and troubleshoot data pipeline issues.</li><li>Ensure compliance with healthcare regulations (e.g., HIPAA) and data security standards.</li><li>Maintain proper documentation of data processes and workflows.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, Software Engineering, or related field.</li><li>1&ndash;2 years of hands-on experience in data engineering or data development.</li><li>Strong SQL skills and experience with relational databases (MySQL, PostgreSQL, SQL Server, etc.).</li><li>Basic understanding of data warehousing concepts and data modeling.</li><li>Experience with ETL tools or scripting (Python, Airflow, SSIS, or similar).</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus.</li><li>Understanding of APIs and data integration techniques.</li><li>Strong analytical and problem-solving skills.</li><li>Good communication and teamwork abilities.</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Data Engineer

Skylink Distributions (Pvt.) Ltd

The ideal candidate should have 3&ndash;4 years of professional experience in Data Analytics and Data Engineering, along with working experience in ERP systems, with proven hands-on expertise in building data pipelines, performing advanced analytics, integrating ERP data sources, and deploying scalable data solutions aligned with business objectives.Key ResponsibilitiesData Management &amp; Analysis<ul><li>Clean, pre-process, and validate large datasets to ensure accuracy, completeness, and consistency.</li><li>Handle missing values, outliers, and data inconsistencies using appropriate statistical techniques.</li><li>Conduct exploratory data analysis (EDA) using tools such as Python, R, SPSS, or other specialised statistical software.</li><li>Develop predictive and analytical models to solve business problems and improve decision-making.</li><li>Ensure adherence to data privacy regulations and internal governance standards.</li></ul>Data Visualization &amp; Reporting<ul><li>Create clear, impactful visualizations including dashboards, charts, and analytical reports.</li><li>Present findings and strategic insights to stakeholders in a clear and actionable manner.</li><li>Translate complex analytical results into business-friendly recommendations.</li></ul>Leadership &amp; Strategy<ul><li>Lead and mentor a team of data analysts and data scientists, fostering technical growth and professional development.</li><li>Provide guidance on best practices in modeling, feature engineering, and data validation.</li><li>Stay updated with the latest data science trends, tools, frameworks, and methodologies to continuously enhance team capabilities.</li><li>Define data science strategy aligned with organizational goals.</li></ul>Data Engineering &amp; Infrastructure Collaboration<ul><li>Manage and monitor data pipelines, ensuring data integrity, security, and performance.</li><li>Collaborate with data engineers to ensure seamless integration of data solutions within the company&rsquo;s infrastructure.</li><li>Oversee deployment, monitoring, and maintenance of machine learning models in production environments.</li></ul>Cross-Functional Collaboration<ul><li>Work closely with Research Teams, Clients, and Business Units to define project goals, KPIs, and deliverables.</li><li>Act as a bridge between technical teams and business stakeholders to ensure alignment.</li><li>Communicate project progress, risks, and outcomes effectively to leadership.</li></ul>ERP &amp; Business Intelligence Integration<ul><li>Lead integration of ERP systems with data science models and business intelligence platforms.</li><li>Ensure synchronisation between operational systems and analytical frameworks.</li><li>Align ERP-driven data workflows with predictive modeling and reporting tools to support strategic decision-making.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Information Systems, or related field.</li><li>Strong expertise in Python, R, SQL, and statistical modeling techniques.</li><li>Experience with BI tools (e.g., Power BI, Tableau, or similar platforms).</li><li>Proven experience in managing data pipelines and model deployment.</li><li>Experience integrating ERP systems with analytics and BI tools.</li><li>Strong understanding of data governance, security, and compliance principles.</li></ul>Core Competencies<ul><li>Leadership and team management</li><li>Strategic thinking and business acumen</li><li>Advanced analytical and statistical skills</li></ul>Job Type: Full-timeWork Location: In person

Data Science Analyst

NextGENi - A DotZero Company

<div>
 
 Job Details
 
 
 
 <ul>
 <li>
 Role: Data Engineer
 </li>
 <li>
 Location: Karachi (Hybrid 2+3)
 </li>
 <li>
 Experience: 4+ Years
 </li>
 <li>
 Type: Full Time
 
 
 </li>
 </ul>
 
 About NextGENi
 
 
 
 NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
 
 
 
 About The Role
 
 
 
 We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines, building and managing Data Lakes and Data Warehouses, and leveraging AWS services to process and store large volumes of data efficiently.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of ETL/ELT processes for data integration and transformation.
 </li>
 <li>
 Build and manage Data Lakes and Data Warehouses to support analytics and reporting.
 </li>
 <li>
 Work extensively with AWS services including Lambda, Glue, Redshift, DMS and QuickSight.
 </li>
 <li>
 Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
 </li>
 <li>
 Ensure data quality, integrity, and scalability across various data systems.
 </li>
 <li>
 Optimize and maintain data pipelines and processes to meet performance standards.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with ETL/ELT processes and data integration.
 </li>
 <li>
 Experience building and managing Data Lakes and Data Warehouses.
 </li>
 <li>
 Strong hands-on experience with Python, PySpark, and SQL
 </li>
 <li>
 Proficiency in AWS services such as Lambda, Glue, Redshift, DMS and QuickSight.
 </li>
 <li>
 Strong communication skills with the ability to explain technical solutions.
 </li>
 <li>
 Ability to work independently and manage complex data engineering projects.
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with dbt for data modelling/transformations
 </li>
 <li>
 Experience with reporting tools like Metabase or similar BI platforms
 </li>
 <li>
 Exposure to CI/CD or Infrastructure as Code.
 
 
 </li>
 </ul>
 
 Instructions to Apply
 
 
 
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-002&rsquo;&rsquo;
 
 
 
 Download a blank applicant form
 
 
 
 Download Form
 
 
 
 Disclaimer
 
 
 
 Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.
</div>

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

Indigo Textile Pvt. Ltd.

We are looking for a Data Analyst for reporting, shipment planning, and order analysis.Key Responsibilities:<ul><li>Prepare daily Dispatch Approval &amp; Order Status reports for CEO, Directors &amp; concerned departments</li><li>Create Daily Stock Report &amp; Evening Approval Report</li><li>Update Packing List &amp; Order Shipment Status</li><li>Maintain Marketing Contract List</li><li>Prepare Weekly Requirement Order Sheet</li><li>Maintain Order Position Sheet &amp; share with HOD</li><li>Create Monthly Reports (Expected Shipment, Balance to Ship, Analytical &amp; Total Shipment Report)</li><li>Prepare Season Forecasting Report</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree (Business / Marketing/Textile or relevant field)</li><li>Strong MS Excel &amp; reporting skills</li><li>Good analytical &amp; coordination skills</li><li>Textile/Garments industry experience preferred</li><li>Location: Port Qasim, Karachi</li></ul>Apply at: hr@indigo.com.pkJob Type: Full-timeWork Location: In person

Data Analyst

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551 data scientist jobs In Karachi Pakistan

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