123 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.

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.

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

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
  
  
  

• 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
  
  

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

Welcome to Warner Bros. Discovery… the stuff dreams are made of.

Who We Are…

When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next…

From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.

Data Science Manager- Data Analytics Team, Hyderabad

About Warner Bros. Discovery:

Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses.

For more information, please visit .

Meet our team:

The Data Audience Platform organization is at the forefront of developing and maintaining frameworks, tools, and data products vital to WBD, including flagship streaming product Max and other products such as Films, Sports, News and overall WBD eco-system. Our mission is to foster unified Gen AI, Machine Learning, Advanced analytics and drive data-driven use cases by leveraging a robust multi-tenant platform and semantic layer. We are committed to delivering innovative solutions that empower teams across the company to catalyze subscriber growth, amplify engagement, and execute timely, informed decisions, ensuring our continued success in an ever-evolving digital landscape.

Roles & Responsibilities:

You will be responsible for building and scaling machine learning solutions for Warner Bros. Discovery’s Data, ML and Analytics organization. Your primary focus will be on unlocking business opportunities and building advanced machine learning models and inference pipelines at scale. You will lead by example, setting high standards for the team and the organization, and have a successful track record of ambitious projects across cross-functional teams. You will:

• Develop a deep understanding of different types of data, metrics, and KPIs to identify and formulate data science problems that drive impactful solutions.

  
  

• Lead the development of cutting-edge machine learning and data science solutions, including large language models, computer vision models, and advanced ad & content targeting.

  
  

• Review and develop mathematical solutions to complex data science problems, ensuring technical excellence and scalability.

  
  

• Utilize Agentic AI, Gen AI, and LLM-based models to formulate and identify business use cases, providing advanced insights and opportunities to move the business needle.

  
  

• Define and implement best practices for the team, setting high standards for technical quality and innovation.

  
  

• Create and deliver compelling presentations to senior leadership and business stakeholders, effectively communicating business insights and recommendations.

  
  

• Manage and oversee data science projects, ensuring timely delivery and alignment with business objectives.

  
  

• Leverage industry best practices and tools to continually improve the team's ability to build and deploy machine learning models.

  
  

• Work closely with platform, content, user data, and product partners to expand and enhance data science capabilities.

  
  

• Drive observability, scalability, cost-optimization, and performance tuning for data science models and services.

  
  

• Motivate, inspire, and create a culture of experimentation and data-driven innovation, advocating for customer-centric solutions.

  
  

• Collaborate with principal engineers to productionalize models and create a robust architecture for deploying machine learning solutions at scale.

  
  

Qualifications:

• 12-14 years of experience in data science and machine learning algorithms, with at least 3 years of leading and managing a software development team.

  
  

• Strong understanding of modern ML approaches (e.g., GBDT, CNN, LSTM, GRU, HRNN, transformer models, variational auto-encoders).

  
  

• Experience with Classical ML Techniques, Deep Learning, NLP, LLMs, Causal Inference, and proficiency in ML tools and frameworks (Keras, PyTorch, scikit-learn, Spark).

  
  

• Proficiency in programming languages such as Python or R.

  
  

• Experience with implementing and managing MLOps frameworks to enhance reproducibility, scalability, and maintainability of machine learning models.

  
  

• Familiarity with real-world ML systems, including configuration, data collection, data verification, feature extraction, resource and process management, analytics, training, serving, validation, experimentation, and monitoring.

  
  

• Experience with offline experimentation and A/B testing.

  
  

• Good understanding of operating machine learning solutions at scale, covering the end-to-end ML workflow.

  
  

• Understanding of batch and streaming data processing techniques.

  
  

• Experience of Databricks, AWS, GCP, or Azure.

  
  

• Experience with Docker and Kubernetes.

  
  

• Experience with CI/CD tools like GitHub Actions, Jenkins, etc.

  
  

• Familiarity with agile practices and processes.

  
  

• Excellent written and verbal communication skills, with the ability to contribute to technical documentation and provide on-call support.

  
  

• BA/BS in Data science, machine learning, statistics, mathematics, economics, industrial engineering, or other quantitative discipline is required. Masters/PhD is a plus.

  
  

Other Qualifications:

• Proven track record of leading cross-functional teams and delivering ambitious projects.

  
  

• Passionate about technical excellence and innovation, with a hands-on approach to problem-solving.

  
  

• Strong focus on customer needs and rapid feature iteration.

  
  

• Strong interpersonal skills with the ability to motivate, collaborate, and influence.

  
  

• Ability to deliver on multiple projects and meet tight deadlines.

  
  

• Ability to effectively influence and communicate cross-functionally with all levels.

  
  

How We Get Things Done…

This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.

Championing Inclusion at WBD

If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

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.

- 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.