485 Senior Data 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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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.

Seize the Future with Machine Learning, Blockchain, Generative AI, and Microservices: A 20-Year Opportunity!

Are you ready to embrace a unique opportunity that promises to shape the future of technology for the next two decades? Join us in our visionary project, where we harness the power of Machine Learning, Blockchain Technology, Generative AI, and Microservices to create groundbreaking solutions that will transform industries and redefine possibilities.

Why Join Us?

• Mastery in R and Python : Our team of expert solution developers is proficient in R and Python, ensuring the development of cutting-edge algorithms and applications.
• Innovative Machine Learning Models : We design and implement advanced machine learning models that drive intelligent decision-making and predictive analytics.
• Secure Blockchain Solutions : Our blockchain technology guarantees transparency, security, and trust in digital transactions, paving the way for decentralized applications.
• Creative Generative AI : We leverage generative AI to create unique and innovative solutions, from content generation to complex problem-solving.
• Efficient Microservices Development : Our microservices architecture ensures scalable, reliable, and efficient software solutions, enabling seamless integration and deployment.

Education Requirements:

• Ph.D. or Master's Degree : We seek individuals with advanced degrees in Computer Science, Engineering, Data Science, or related fields to join our team and contribute to our innovative projects.

Software Coding Skills:

• OpenStack and Microsoft Stack : Proficiency in OpenStack and Microsoft Stack is essential for developing robust and scalable solutions across various platforms.

Required Programming Skills:

• Languages : Proficiency in Python, R, or Java.
• Machine Learning Libraries and Frameworks : Experience with TensorFlow, PyTorch, and scikit-learn.
• Machine Learning Algorithms : Solid understanding of supervised and unsupervised learning, deep learning, and reinforcement learning.
• Data Preprocessing and Feature Engineering : Experience with data preprocessing, feature engineering, and data visualization techniques.
• Large-Scale Datasets : Proficiency in working with SQL and NoSQL databases, and big data processing frameworks like Hadoop and Spark.
• Software Engineering Best Practices : Familiarity with version control, testing, and code review.
• Mathematical and Statistical Skills : Strong ability to apply statistical methods and evaluate model performance.
• Problem-Solving and Analytical Thinking : Excellent skills to understand complex business problems and develop innovative solutions.
• Effective Communication : Ability to collaborate with cross-functional teams and present findings to both technical and non-technical stakeholders.
• Cloud Platforms : Experience with AWS, Azure, Google Cloud, and knowledge of deploying and managing machine learning models in cloud environments is a plus.

Required Qualifications, Capabilities, and Skills:

• Data Engineering
• Data Science
• Machine Learning
• Artificial Intelligence (AI)
• Computer Science
• Computer Vision
• Keras
• Natural Language Processing (NLP)
• Pattern Recognition
• Scikit

Join a dynamic team that is pushing the boundaries of technology. Collaborate with experts, contribute to pioneering research, and develop solutions that will redefine the way we live and work.

Job Overview:

CONVO is looking for a passionate and experienced Machine Learning/Data Analyst Manager to lead our growing team of data analysts and machine learning engineers. In this role, you will be responsible for developing and executing our data science strategy, overseeing the entire data analysis lifecycle, and translating complex data insights into actionable business recommendations.

Location: Islamabad | Hybrid

Responsibilities:

• Lead and manage a team of data analysts and machine learning engineers.
• Define the data science roadmap and research priorities aligned with business goals.
• Develop and implement a comprehensive data analysis strategy, including data collection, cleaning, transformation , and analysis.
• Build and deploy machine learning models to solve real-world business problems.
• Translate complex data insights into clear, concise, and actionable recommendations for stakeholders.
• Champion a data-driven culture within the organization.
• Ensure the quality, accuracy, and integrity of data assets.
• Develop and maintain strong relationships with key stakeholders across various departments.
• Stay up-to-date on the latest advancements in machine learning and data analysis techniques.
• Leverage the business understanding to define the daily activities and tasks of the
  project team.
• Manage a strong and continuous interaction with the product team to determine the
  most suitable analytics solution for the specific business case.

Qualifications:

• Master's degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred).
• Minimum 0 8 years of experience in a data science or machine learning role.
• CPG / FMCG industry knowledge is an advantage
• Proven experience leading and managing a team of data analysts and/or machine learning engineers.
• Strong understanding of machine learning algorithms and statistical concepts.
• Experience with programming languages like Python and SQL .
• Proficiency in data visualization tools (e.g. T ableau, Power BI ).
• Excellent communication and presentation skills.
• Strong analytical and problem-solving skills.
• Ability to think strategically and translate data insights into actionable business recommendations.
• Proven ability to manage multiple projects simultaneously and meet deadlines

What We Have For You

Great compensation package, provident fund, EOBI, medical benefits for you and your family, free lunch, Bi-annual performance-tied increments & performance recognition awards and a great lean and agile work culture!

Convo endorses a culture of diversity in all aspects and aims to build a diverse team of amazing individuals!

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Cybologics Solutions is seeking a highly skilled and detail-oriented Data Scientist to join our Product & Technology team. You will be responsible for designing, developing, and deploying machine learning and deep learning models in production environments, with a strong focus on Python, PostgreSQL, and data-driven problem-solving . This role is ideal for someone who enjoys working with text and image data , building robust data pipelines, and bringing AI solutions to life on the cloud.

Job Title: Data Scientist

Location: Lahore (On-site)

Company: Cybologics Solutions

Department: Product & Technology

Experience Level: Mid-Senior

Job Type: Full-Time

Cybologics Solutions is seeking a highly skilled and detail-oriented Data Scientist to join our Product & Technology team. You will be responsible for designing, developing, and deploying machine learning and deep learning models in production environments, with a strong focus on Python, PostgreSQL, and data-driven problem-solving . This role is ideal for someone who enjoys working with text and image data , building robust data pipelines, and bringing AI solutions to life on the cloud.

• Design, develop, and deploy ML/DL models using Python and cloud platforms (AWS, GCP).
• Work extensively with text and image data for model training, evaluation, and deployment.
• Build scalable data pipelines and integrate models into production systems.
• Manage and optimize cloud-based ML workflows for performance and scalability.
• Collaborate with DevOps to configure and maintain production-ready environments .
• Perform data preprocessing, feature engineering, and visualization to support both development and business needs.
• Ensure reproducibility and versioning of experiments, datasets, and models.
• Collaborate with product teams using JIRA and Git for planning and delivery.

• Bachelor’s/Master’s degree in Computer Science, Data Science, AI, or related field.
• Proven expertise in Python, PostgreSQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch .
• Strong hands-on experience in training and deploying ML/DL models into production .
• Proficiency with AWS (S3, EC2, Lambda, SageMaker) and GCP (BigQuery, Colab, Vision AI) .
• Solid understanding of data wrangling, cleaning, and analysis .
• Excellent analytical, problem-solving, and communication skills.

• Experience with CI/CD pipelines and MLOps practices .
• Knowledge of Docker/Kubernetes for containerizing and scaling ML models.
• Familiarity with data privacy and compliance when handling sensitive data.

• Work on cutting-edge SaaS and AI products with real-world impact.
• Join a collaborative and innovation-driven environment .
• Opportunities for continuous learning and professional growth .
• Competitive salary and benefits package.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Engineering and Information Technology
• Industries Software Development

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About Fusemachines
Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.

About the Role:

Location: Remote | Full-time

We are seeking an experienced and motivated Data Scientist to spearhead our data-driven initiatives. The ideal candidate will be responsible for architecting scalable solutions, and applying advanced analytical techniques to solve complex business problems. You will be instrumental in transforming raw data into actionable insights that drive strategy and operational improvements.

Key Responsibilities

• Drive the design, development, and testing of big data applications to ensure the timely delivery of product goals.

• Proactively identifying and implementing code and design optimizations.

• Collaborate closely with data engineers, analysts, and business teams to analyze requirements and ensure data-driven solutions are effectively implemented.

• Develop end-to-end data solutions, from data collection and cleaning to building and deploying predictive machine learning models.

• Conduct exploratory data analysis using statistical methods to uncover trends, patterns, and actionable insights.

• Create compelling data visualizations, dashboards, and reports to communicate complex findings to both technical and non-technical stakeholders.

• Provide data-backed recommendations to support key business decisions and improve strategies.

• Learn and integrate with a wide variety of internal and external systems, APIs, and platforms.

Required Skills & Qualifications

• Minimum of 3+ years of hands-on experience in data science or big data development.

• Proven track record of successfully guiding development projects.

• Expertise in Python and PySpark, including tools like Jupyter Notebooks and environment controllers (e.g., Poetry, PipEnv).

• Hands-on experience with the Databricks platform and Apache Spark.

• Proficiency with relational databases (e.g., PostgreSQL, SQL Server, Oracle) and SQL.

• Strong practical knowledge of data cleansing, transformation, and validation techniques.

• Experience with code versioning tools like Git (GitHub, Azure DevOps, Bitbucket).

• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
  
  Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws

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Direct message the job poster from JiBe ERP

JiBe is a cloud based fully integrated ERP system for the shipping industry. Our goal is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. JiBe ERP enables increased automation and streamlining of processes, creating pre-defined work flows and reducing the usage of email and paper.

Job Responsibilities

• Provide Data Analytics Platform and a function for all Web application in existing and upcoming projects. Data Analyst will turn data into information and information into insight to help drive decisions.
• Extracts data from a variety of sources for use in analysis and models; completes ad-hoc reporting and data analysis.
• Identify relevant data, analyze, and interpret trends or patterns in complex data sets
• Analyze and generate actionable insights from structured and unstructured data (to be included) and effectively communicate findings and solutions with various groups
• Perform routine reporting and ad hoc analysis of operational metric and other management reports
• Assist with developing and using statistical modelling
• Data scientists will be responsible for building and implementing next generation predictive models leveraging traditional and non-traditional data.
• In addition, data scientists will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.
• Data Scientists will work closely with internal stakeholders and be able to implement analytical solutions to drive higher ROI.
• Data scientists will interact and at times work with external partners in the industry to ensure he/she remains abreast with the knowledge in analytics domain

Qualifications:

• Bachelor’s Degree in Information Technologies
• 2+ years’ professional experience
• Advanced analytical knowledge of data
• Developing software and data models
• Executing predictive analytics
• Familiarity with reporting tools
• Proficient with one or more programming languages (Python, R, etc.)

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development and Product Management
• Industries IT Services and IT Consulting and Software Development

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