423 Data Team jobs in Pakistan

Overview:
We’re looking for a hands-on Data Science & Engineering Lead to lead our data strategy and help scale a lean, high-impact team. This role blends leadership, architecture, and deep technical work - from building predictive models to designing the infrastructure that powers real-time decision-making. You’ll partner closely with cross-functional teams (Product, Business, Finance, Tech) and take full ownership of analytics delivery from raw data to actionable insight.

This is a builder’s role - ideal for someone who wants deep ownership, startup pace, and the chance to grow as we scale.

Responsibilities:

• Define and deliver our data strategy - from core infrastructure to insights delivery
• Build and mentor a team of 2–5 data scientists and engineers
• Design and deploy predictive models, recommendation systems, and performance analytics
• Architect, deploy, and maintain scalable data pipelines and analytics tooling
• Own and scale robust data pipelines and ensure data integrity across business verticals
• Collaborate closely with stakeholders across Product, Business Finance, and Tech teams to integrate data into daily operations and product decisions
• Act as the go-to person for data strategy, experimentation, and insights
  
  
  
  
  

• 5–6 years of relevant experience in data science, engineering or analytics,
• At least 1-2 years in a leading or mentoring small teams (leading 2-5 people) within an agile high tech environment
• Strong command of Python or R; strong SQL skills required
• Deep expertise in data analysis, predictive modeling, designing scalable pipelines, and maintaining analytics infrastructure
• Familiarity with modern BI tools (e.g., Looker, Metabase, Power BI, Tableau)
• Experience working cross functionally with business and product teams
• Startup mindset; strong bias for action, autonomy and ownership; able to apply agile principles and own delivery end to end
  
  
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Hospitality, Food and Beverage Services, and Retail

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Karachi

Remote

One-year contractual role

We are seeking a talented Data Scientist with strong expertise in SAS Viya and significant experience in
the banking and telecom sectors. In this role, you will leverage advanced analytics and machine learning
techniques to derive actionable insights from large datasets, optimizing business decisions and
strategies. Your knowledge of SAS Viya, along with your domain expertise, will be essential for
developing predictive models, improving customer experience, and enhancing operational efficiency.

Description

• Develop, implement, and fine-tune predictive and statistical models using SAS Viya to address
  business needs, with a focus on customer segmentation, churn prediction, fraud detection, and
  risk management in the banking and telecom sectors.
• Conduct deep data analysis and feature engineering to uncover patterns, trends, and insights
  that drive business strategies in banking and telecom operations.
• Integrate and process large datasets from various sources (e.g., transactional data, customer
  behavior data, financial data) and leverage SAS Viya’s cloud-native capabilities for scalable data
  processing and analysis.
  
• Apply machine learning algorithms and artificial intelligence techniques to develop models that
  enhance customer experience, optimize marketing campaigns, and improve operational
  efficiency.
• Present findings and insights through clear and actionable visualizations and reports using SAS
  Visual Analytics and other reporting tools, making complex data accessible to stakeholders.
• Continuously improve model performance by fine-tuning algorithms and optimizing data
  workflows to handle large volumes of data efficiently.

Requirements

• 5+ years of experience as a Data Scientist with a strong background in SAS Viya and experience
  working in banking and telecom sectors.
• Strong proficiency in SAS Viya (including SAS Visual Analytics, SAS Visual Data Mining and
  Machine Learning, and SAS Cloud Analytics).
• Experience with predictive modeling, statistical analysis, and machine learning algorithms in
  both sectors.
• Excellent communication skills, with the ability to translate technical findings into business
  insights for non-technical stakeholders.

Devsinc is seeking a talented Data Science Engineer who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models.

Key Responsibilities:

• Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources.
• Collaborate with data scientists to transform machine learning models into production-ready applications.
• Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process.
• Evaluate and integrate new data management and processing technologies to enhance analytics capabilities.
• Create and manage data repositories, following best practices for data governance and security.
• Develop documentation and provide training to team members on data systems and workflows.
• Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment.
• Stay updated on the latest industry trends and technologies in data engineering and machine learning.
• Lead the development and deployment of machine learning models that drive key business metrics and outcomes.
• Build and maintain scalable data pipelines and feature stores for training and inference use cases.
• Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery.
• Monitor and retrain models in production to ensure performance over time and handle data drift issues.
• Contribute to architectural decisions on data platforms and model-serving infrastructure.
• Mentor junior team members and help shape best practices in data science engineering.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline.
• 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions.
• Demonstrated experience translating business problems into data science projects with measurable outcomes.
• Prior experience working closely with business stakeholders to operationalize models and drive ROI.

Soft Skills:

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills, both verbal and written, to convey technical concepts effectively.
• Ability to work collaboratively in a fast-paced team environment and manage multiple priorities.
• Motivated self-starter with a passion for learning and applying new technologies.

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• 3-4 years of experience in a managerial role leading Data Science or Analytics teams
• Hands-on experience with programming languages (e.g., R, Python, Java), Spark, Snowflake, Databricks, AI, MLOPS
• Experience building, deploying, and scaling ML models for various problems
• Analyze and understand customer requirements through extensive data exploration
• Work directly with prospective customers’ technical resources to devise and recommend solutions based on understood requirements
• Work on POC and Pilot Projects to showcase the benefits of Advanced Analytics and Big Data Technologies
• Hands-on experience with Cloud platforms such as AWS, Azure, or GCP is preferred
• Present findings to IT and Business stakeholders
• Participate in brainstorming sessions to develop solutions/analytics
• Resource planning, staffing, and training
• Conduct webinars, seminars, attend conferences, produce content for blogs, white papers, and case studies for the company website and social media
• Minimum Master's Degree in Data Science, Computer Science, Business Administration, or Statistics; a Post Doctorate is a plus
• Deep learning experience is advantageous
• Business development and practice growth
• Project management skills
• Proven team management and client handling skills
• Strong statistical concepts
• Exposure to Artificial Intelligence and Deep Learning is a plus
• Ability and willingness to learn
• Strong analytical skills
• Flexibility with timings

• Mid-Senior level

• Full-time

• Consulting, Information Technology, and Sales

• IT Services and IT Consulting

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• ML Engineer (Onsite, Lahore, Remittance Salary)
• Associate Software Engineer - Data Science
• Artificial Intelligence & Machine Learning Engineer – AI-ML
• Senior Data Scientist (3 months contractual)
• Senior Software Engineer / Assistant Team Lead - AI/ML
• Senior Technical Manager/Director - Data Science and ML
• Senior Machine Learning Software Engineer
• Senior Machine Learning Engineer (Personalization)
• Senior Technical Analyst - Healthcare Data (Onsite, Lahore, PKR Salary)
• Technical Analyst - Healthcare Data (Data Dashboards)

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Devsinc is seeking a highly skilled Senior Software Engineer with a focus on Data Engineering and Data Science to join our innovative team. This role demands an individual capable of bridging the gap between software engineering and data science, leveraging advanced algorithms and extensive data sets to drive impactful insights and solutions.

Key Responsibilities:

• Design and develop data pipelines and architectures to effectively process and analyze large volumes of structured and unstructured data
• Collaborate with data scientists and analysts to implement data models and algorithms that enable predictive analytics and machine learning
• Optimize and maintain existing data systems to ensure efficiency, performance, and scalability
• Conduct data analysis to extract meaningful insights and communicate findings to stakeholders
• Implement best practices for data governance, security, and compliance
• Mentor junior engineers and contribute to the continuous improvement of engineering processes and methodologies
• Stay up-to-date with emerging trends in data engineering and data science to innovate solutions to complex problems
  
  

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 3+ years of experience in software engineering with a strong emphasis on data engineering and data science projects
• Extensive experience with ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark)
• Strong proficiency in programming languages such as Python, R, or Scala
• Proficiency in SQL and familiarity with NoSQL databases (e.g., MongoDB, Cassandra)
• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
• Hands-on experience with cloud platforms like AWS, Azure, or GCP, particularly in data processing and storage services
• Familiarity with data visualization tools and techniques
• Excellent analytical and problem-solving skills, with the ability to work with complex datasets and extract actionable insights
• Strong communication skills, capable of translating technical concepts to non-technical audiences
• Ability to lead projects and coordinate with cross-functional teams in an agile environment
• Willingness to continuously learn and adapt to new challenges in the data landscape

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

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