107 Data Science Manager jobs in Pakistan

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes Oversee the design and implementation of innovative data science projects that drive value for the organization Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate

Requirements

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively Excellent project management skills and ability to prioritize tasks in a fast-paced environment Strong analytical and problem-solving skills with attention to detail Exceptional communication skills, both verbal and written, in English and Arabic Proven capability to drive collaboration across teams and influence senior stakeholders

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

• Develop and implement the overall data science vision, strategy, and framework to align with organizational goals
• Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning
• Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights
• Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency
• Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges
• Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies
• Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth
• Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies
  
  

Requirements

• Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field
• A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams
• Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark)
• Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies
• Proven track record of successfully leading and delivering large-scale data science projects that drive business value
• Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses
• Strong project management skills and ability to lead teams in a fast-paced environment
• Excellent analytical and strategic thinking skills, with a focus on results
• Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic
  
  

Preferable Certificates:

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

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SWATX is looking for a visionary and results-driven Senior Data Science Manager to join our leadership team. In this pivotal role, you will be responsible for overseeing the strategic direction and execution of data science initiatives across the organization. You will lead a talented team of data scientists, driving innovation in predictive modeling, machine learning, and advanced analytics. As a key contributor to our data strategy, you will collaborate closely with senior leadership and cross-functional teams to deliver impactful insights and solutions that enhance business performance.

Responsibilities:

Develop and implement the overall data science vision, strategy, and framework to align with organizational goals Lead a high-performing team of data scientists, fostering a culture of collaboration, innovation, and continuous learning Drive the execution of strategic data science projects, ensuring alignment with business objectives and delivery of actionable insights Collaborate with stakeholders to identify high-impact opportunities for modeling and analytics that can enhance decision-making and operational efficiency Oversee the design and implementation of complex machine learning algorithms and statistical models to solve business challenges Monitor industry trends and emerging technologies in data science and analytics, incorporating best practices into the team's methodologies Provide mentorship and professional development opportunities for team members to enhance their skill sets and career growth Present findings and recommendations to senior leadership, translating complex data insights into clear and actionable strategies

Requirements

Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field A minimum of 7+ years of experience in data science or analytics, with 3+ years in a leadership role managing data science teams Proficient in programming languages such as Python, R, and experience with big data technologies (e.g., Hadoop, Spark) Deep understanding of machine learning techniques, statistical modeling, and advanced analytics methodologies Proven track record of successfully leading and delivering large-scale data science projects that drive business value Expertise in data visualization tools (e.g., Tableau, Power BI) for effectively communicating complex analyses Strong project management skills and ability to lead teams in a fast-paced environment Excellent analytical and strategic thinking skills, with a focus on results Outstanding communication and interpersonal skills, with the ability to convey technical information to non-technical stakeholders in English and Arabic

Preferable Certificates:

Certified Data Scientist (CDS) Microsoft Certified: Azure Data Scientist Associate Google Cloud Professional Data Engineer

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Job Description :

Bestow99 is a dynamic and forward-thinking company dedicated to empowering local talent through high-quality training programs while also offering professional services to both local and international companies. We are seeking a Data Analyst with 2 years of experience to join our E-Learning team in Gilgit.

Responsibilities :
- Analyze and interpret complex data sets to support decision-making.
- Collaborate with cross-functional teams to identify business opportunities.
- Prepare reports and visualizations to communicate findings to stakeholders.
- Ensure data accuracy and integrity by conducting regular audits.

Job Specification :

- Proficiency in data analysis tools (e.g., Excel, SQL, Python).
- Strong analytical and problem-solving skills.
- Experience with data visualization software (e.g., Tableau, Power BI).
- Excellent communication and teamwork skills.

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Job Brief
We are seeking an experienced and highly skilled Senior Technical Manager / Director with a strong background in software development and deep expertise in data science and machine learning. This individual will play a pivotal role in leading cross-functional teams, architecting robust software solutions, and driving innovation through AI/ML initiatives. You will collaborate closely with stakeholders across the business to build scalable systems that deliver data-driven insights and value
VentureDive Overview
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.
Key Responsibilities:
- Technical Leadership:

• Oversee the design, development, and deployment of software applications and machine learning solutions.
• Set the technical direction for projects, ensuring alignment with business goals and adherence to architectural best practices.
• Drive best practices in coding, testing, DevOps, and software quality assurance.

- Data Science & ML Initiatives:

• Collaborate with data scientists and engineers to build and deploy predictive models, recommendation systems, and other intelligent applications.
• Evaluate and implement appropriate tools, frameworks, and ML algorithms to solve business problems.

- Team Management:

• Lead, mentor, and manage a team of software engineers and data scientists.
• Conduct performance reviews, support career development, and foster a high-performance team culture.
• Manage resource planning, hiring, and team scaling as needed.

- Project & Stakeholder Management:

• Drive end-to-end project delivery, from requirements gathering through deployment and maintenance.
• Work with cross-functional teams to ensure timely and successful execution of product and technical roadmaps.
• Communicate technical concepts and progress clearly to non-technical stakeholders.

Required Qualification & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience in software development with a proven track record of delivering enterprise-grade applications.
• Strong hands-on expertise in at least one major programming language (e.g., Python, Java, C#, or equivalent).
• Demonstrable experience in machine learning, data analysis, statistical modeling, and working with large-scale datasets.
• Proficiency with ML libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• At least 3+ years in a technical leadership or managerial role, overseeing teams and mentoring engineers.

Preferred Experience:

• Experience with MLOps practices and tools.
• Knowledge of data engineering pipelines and ETL processes.
• Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence).
• Strong interpersonal and communication skills.

What We Offer:

• Opportunity to lead cutting-edge projects at the intersection of software engineering and AI.
• Collaborative and inclusive team culture.
• Competitive salary and performance-based incentives.
• Flexible work arrangements and comprehensive benefits.

What we look for beyond required skills
In order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest
Are you ready to put your ideas into products and solutions that will be used by millions?
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us . we're having a ball!
#LI-Hybrid
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Job Brief
We are seeking an experienced and highly skilled Senior Technical Manager / Director with a strong background in software development and deep expertise in data science and machine learning. This individual will play a pivotal role in leading cross-functional teams, architecting robust software solutions, and driving innovation through AI/ML initiatives. You will collaborate closely with stakeholders across the business to build scalable systems that deliver data-driven insights and value

VentureDive Overview
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world.

Key Responsibilities:
- Technical Leadership:

• Oversee the design, development, and deployment of software applications and machine learning solutions.
• Set the technical direction for projects, ensuring alignment with business goals and adherence to architectural best practices.
• Drive best practices in coding, testing, DevOps, and software quality assurance.

- Data Science & ML Initiatives:

• Collaborate with data scientists and engineers to build and deploy predictive models, recommendation systems, and other intelligent applications.
• Evaluate and implement appropriate tools, frameworks, and ML algorithms to solve business problems.

- Team Management:

• Lead, mentor, and manage a team of software engineers and data scientists.
• Conduct performance reviews, support career development, and foster a high-performance team culture.
• Manage resource planning, hiring, and team scaling as needed.

- Project & Stakeholder Management:

• Drive end-to-end project delivery, from requirements gathering through deployment and maintenance.
• Work with cross-functional teams to ensure timely and successful execution of product and technical roadmaps.
• Communicate technical concepts and progress clearly to non-technical stakeholders.

Required Qualification & Experience:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience in software development with a proven track record of delivering enterprise-grade applications.
• Strong hands-on expertise in at least one major programming language (e.g., Python, Java, C#, or equivalent).
• Demonstrable experience in machine learning, data analysis, statistical modeling, and working with large-scale datasets.
• Proficiency with ML libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• At least 3+ years in a technical leadership or managerial role, overseeing teams and mentoring engineers.

Preferred Experience:

• Experience with MLOps practices and tools.
• Knowledge of data engineering pipelines and ETL processes.
• Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence).
• Strong interpersonal and communication skills.

What We Offer:

• Opportunity to lead cutting-edge projects at the intersection of software engineering and AI.
• Collaborative and inclusive team culture.
• Competitive salary and performance-based incentives.
• Flexible work arrangements and comprehensive benefits.

What we look for beyond required skills
In order to thrive at VentureDive, you
…are intellectually smart and curious
…have the passion for and take pride in your work
…deeply believe in VentureDive’s mission, vision, and values
…have a no-frills attitude
…are a collaborative team player
…are ethical and honest

Are you ready to put your ideas into products and solutions that will be used by millions?
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us . we're having a ball!

#LI-Hybrid #J-18808-Ljbffr

Job Brief We are seeking an experienced and highly skilled

Senior Technical Manager / Director

with a strong background in software development and deep expertise in data science and machine learning. This individual will play a pivotal role in leading cross-functional teams, architecting robust software solutions, and driving innovation through AI/ML initiatives. You will collaborate closely with stakeholders across the business to build scalable systems that deliver data-driven insights and value VentureDive Overview Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. Key Responsibilities: - Technical Leadership:

Oversee the design, development, and deployment of software applications and machine learning solutions. Set the technical direction for projects, ensuring alignment with business goals and adherence to architectural best practices. Drive best practices in coding, testing, DevOps, and software quality assurance. - Data Science & ML Initiatives:

Collaborate with data scientists and engineers to build and deploy predictive models, recommendation systems, and other intelligent applications. Evaluate and implement appropriate tools, frameworks, and ML algorithms to solve business problems. - Team Management:

Lead, mentor, and manage a team of software engineers and data scientists. Conduct performance reviews, support career development, and foster a high-performance team culture. Manage resource planning, hiring, and team scaling as needed. - Project & Stakeholder Management:

Drive end-to-end project delivery, from requirements gathering through deployment and maintenance. Work with cross-functional teams to ensure timely and successful execution of product and technical roadmaps. Communicate technical concepts and progress clearly to non-technical stakeholders. Required Qualification & Experience:

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field. 10+ years of experience in software development with a proven track record of delivering enterprise-grade applications. Strong hands-on expertise in at least one major programming language (e.g., Python, Java, C#, or equivalent). Demonstrable experience in machine learning, data analysis, statistical modeling, and working with large-scale datasets. Proficiency with ML libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.). Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). At least 3+ years in a technical leadership or managerial role, overseeing teams and mentoring engineers. Preferred Experience:

Experience with MLOps practices and tools. Knowledge of data engineering pipelines and ETL processes. Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence). Strong interpersonal and communication skills. What We Offer:

Opportunity to lead cutting-edge projects at the intersection of software engineering and AI. Collaborative and inclusive team culture. Competitive salary and performance-based incentives. Flexible work arrangements and comprehensive benefits.

What we look for beyond required skills In order to thrive at VentureDive, you …are intellectually smart and curious …have the passion for and take pride in your work …deeply believe in VentureDive’s mission, vision, and values …have a no-frills attitude …are a collaborative team player …are ethical and honest Are you ready to put your ideas into products and solutions that will be used by millions? You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us . we're having a ball! #LI-Hybrid

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Data Science & Machine Learning Instructor

Qualifications:

Bachelors or Masters degree in Computer Science, Statistics, or a related field. Job Description:

Data Science Position at Corvit Systems Multan. About Company: Corvit Systems is a leading provider of IT training in Multan. We offer courses from world-renowned vendors such as Cisco, Huawei, Juniper, Microsoft, VMware, Aruba, and Red Hat. Our training covers various domains including Routing, Switching, Security, Voice, Wireless, Data Center, Service Provider, Operating System, Virtualization, and Exchange Server/Email Server. We foster an encouraging and supportive environment that enhances the perception and technical intellect of individuals. Our goal is to unlock the inner potential of students and develop a competitive edge in the professional world. Job Responsibilities:

Apply advanced statistical and machine learning techniques to analyze large datasets and extract valuable insights. Develop predictive models and data-driven solutions to optimize business processes and drive decision-making. Collaborate with cross-functional teams to identify and prioritize data science opportunities and challenges. Clean, preprocess, and transform raw data to ensure accuracy and reliability. Communicate complex findings and methodologies to both technical and non-technical stakeholders. Stay up-to-date with the latest advancements in data science and relevant tools and technologies. Use data visualization techniques to present results in a clear and meaningful way. Job Specification:

Strong analytical and problem-solving abilities with a keen eye for detail. Proficiency in programming languages such as Python or R, and SQL. Experience with statistical analysis, machine learning algorithms, and data visualization tools. Solid understanding of data manipulation, data cleansing, and feature engineering techniques. Excellent communication and presentation skills to convey complex information to diverse audiences. Ability to work independently and collaboratively in a fast-paced, deadline-driven environment. Strong business acumen and the ability to translate business requirements into data science solutions.

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Overview

The Machine Learning Engineer at Venturenox is responsible for creating machine learning models, building data pipelines and extracting business value from the available data. The primary platform to be used is Python (TensorFlow, FastAPI).

Location: Lahore
Work Mode: Hybrid with 2 days/week in office
Experience: 1 - 2 years

Responsibilities

• Analyzing the ML algorithms and pre-trained models that could be used to solve a given problem.
• Develop server side logic with platforms such as Python to make models deployable in production.
• Collaborate with cloud engineers to make the code suitable for deployment in cloud-native environments and deploying models to production.

Desired Skills

• Proficiency with deep learning frameworks such as TensorFlow or Keras as well as AI frameworks such as LangChain.
• Understanding of challenges in computer vision and speech and natural language processing.
• Proficiency with Python and basic libraries for machine learning as well as web frameworks such as FastAPI.
• Understanding of SQL and NoSQL data stores. Understanding of Kafka is highly desirable.

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