125 Data Scientists jobs in Pakistan
Big Data Engineer
Posted 21 days ago
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Job Description
The Big Data Engineer is responsible for designing, developing and managing big data platforms to process and analyze large datasets. You will work with cutting-edge technologies to ensure seamless data flow, scalability and high-performance systems. Your work will be crucial in providing actionable insights for decision-making across the business. Join us to shape the future of data-driven strategies.
Key Responsibilities- Design Data Systems: Architect scalable data processing systems for business needs.
- Manage Data Pipelines: Build and maintain efficient data pipelines for real-time processing.
- Data Integration: Integrate disparate data sources for analysis and reporting.
- Ensure Data Quality: Implement methods for data cleaning and validation.
- Optimize Performance: Tune and optimize systems for speed and scalability.
- Collaborate with Teams: Work closely with data scientists and analysts to create solutions.
- Big Data Technologies: Work with Hadoop, Spark and similar big data tools.
- Security Compliance: Ensure data handling complies with privacy and security standards.
- 3+ years of experience in big data engineering or a similar role.
- Hands-on experience with big data platforms like Hadoop, Spark, or AWS.
- Previous work experience in developing and managing data pipelines.
- Strong programming skills in Python, Java, or Scala.
- Deep understanding of distributed computing systems and architectures.
- Ability to collaborate effectively across cross-functional teams.
Big Data Engineer
Posted 3 days ago
Job Viewed
Job Description
Design Data Systems: Architect scalable data processing systems for business needs. Manage Data Pipelines: Build and maintain efficient data pipelines for real-time processing. Data Integration: Integrate disparate data sources for analysis and reporting. Ensure Data Quality: Implement methods for data cleaning and validation. Optimize Performance: Tune and optimize systems for speed and scalability. Collaborate with Teams: Work closely with data scientists and analysts to create solutions. Big Data Technologies: Work with Hadoop, Spark and similar big data tools. Security Compliance: Ensure data handling complies with privacy and security standards. Qualifications
3+ years of experience in big data engineering or a similar role. Hands-on experience with big data platforms like Hadoop, Spark, or AWS. Previous work experience in developing and managing data pipelines. Strong programming skills in Python, Java, or Scala. Deep understanding of distributed computing systems and architectures. Ability to collaborate effectively across cross-functional teams.
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Graduate Trainee – Big Data Analyst
Posted 21 days ago
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Job Description
We are looking for enthusiastic and driven fresh graduates who have a strong interest and foundational understanding of Big Data concepts. As a Graduate Trainee – Big Data Analyst, you will be part of our dynamic Data & Analytics team, where you will be trained and mentored to work on real-world big data projects, tools, and technologies.
This is an excellent opportunity to start your career in the rapidly growing field of Big Data, working alongside experienced professionals in a fast-paced and innovative environment.
Key Responsibilities
- Assist in collecting, processing, and analyzing large volumes of structured and unstructured data.
- Support in building and maintaining data pipelines using big data technologies.
- Participate in data cleaning, transformation, and integration activities.
- Work with cross-functional teams to understand data requirements and provide data-driven insights.
- Learn and apply data processing in Data Lake & Apache Spark.
- Document processes and contribute to technical reports and dashboards.
Requirements
- Education: Bachelor’s degree in Computer Science or related fields (Graduated in 2025).
- Strong interest and foundational knowledge in Big Data, Data Science, or Data Engineering .
- Familiarity with programming languages such as Python, Java, or Scala .
- Exposure to SQL and basic understanding of databases (relational or NoSQL).
- Understanding of core big data concepts such as distributed computing, data lakes, and data warehousing is a plus.
- Willingness to learn and work with tools like Spark and Kafka etc.
- Excellent analytical thinking, problem-solving ability, and attention to detail.
- Strong communication and teamwork skills.
We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products. Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015,27001:2013 & 2000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit:
#J-18808-LjbffrGraduate Trainee – Big Data Analyst
Posted 26 days ago
Job Viewed
Job Description
fresh graduates
who have a strong interest and foundational understanding of
Big Data
concepts. As a Graduate Trainee – Big Data Analyst, you will be part of our dynamic Data & Analytics team, where you will be trained and mentored to work on real-world big data projects, tools, and technologies. This is an excellent opportunity to start your career in the rapidly growing field of Big Data, working alongside experienced professionals in a fast-paced and innovative environment. Key Responsibilities Assist in collecting, processing, and analyzing large volumes of structured and unstructured data. Support in building and maintaining data pipelines using big data technologies. Participate in data cleaning, transformation, and integration activities. Work with cross-functional teams to understand data requirements and provide data-driven insights. Learn and apply data processing in Data Lake & Apache Spark. Document processes and contribute to technical reports and dashboards. Requirements Education:
Bachelor’s degree in Computer Science or related fields (Graduated in 2025). Strong interest and foundational knowledge in
Big Data, Data Science, or Data Engineering . Familiarity with programming languages such as
Python, Java, or Scala . Exposure to SQL and basic understanding of databases (relational or NoSQL). Understanding of core big data concepts such as distributed computing, data lakes, and data warehousing is a plus. Willingness to learn and work with tools like Spark and Kafka etc. Excellent analytical thinking, problem-solving ability, and attention to detail. Strong communication and teamwork skills. We have an amazing team of 700+ individuals working on highly innovative enterpriseprojects & products. Our customer base includes Fortune 100 retail and CPGcompanies, leadingstore chains, fast-growth fintech, and multipleSilicon Valley startups. What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015,27001:2013 & 2000-1:2018 certified. We have a vibrant culture of learning via collaboration and making the workplace fun. People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves. To know more about Confiz Limited, visit:
Data Analysis & Machine Learning Expert
Posted 21 days ago
Job Viewed
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.
- 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.
Machine Learning-R Data Scientist
Posted today
Job Viewed
Job Description
Join to apply for the Machine Learning-R Data Scientist role at ITC Worldwide .
OverviewAbout The Job: Machine Learning-R Data Scientist
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.
- 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.
- OpenStack and Microsoft Stack: Proficiency in OpenStack and Microsoft Stack is essential for developing robust and scalable solutions across various platforms.
- 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.
- 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.
Seniority level- Entry level
- Full-time
- Other
- IT Services and IT Consulting
Referrals increase your chances of interviewing at ITC Worldwide.
#J-18808-LjbffrMachine Learning-R Data Scientist
Posted today
Job Viewed
Job Description
Machine Learning-R Data Scientist
role at
ITC Worldwide .
Overview About The Job:
Machine Learning-R Data Scientist
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
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.
Qualifications 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.
Seniority level
Entry level
Employment type
Full-time
Job function
Other
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at ITC Worldwide.
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Machine Learning-R Data Scientist
Posted 22 days ago
Job Viewed
Job Description
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.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
Job Description
Translation Empire PK is seeking a Machine Learning Engineer to develop robust, scalable ML models that solve real-world problems. You will work with diverse datasets, build predictive models, and drive continuous improvement in AI workflows.
Key Responsibilities:
- Design, train, and validate machine learning models.
- Process and clean large datasets for training.
- Automate model pipelines and deployment.
- Monitor and retrain models for performance enhancement.
- Collaborate on research and development initiatives.
Qualification and Experience:
- Bachelor’s or Master’s in Computer Science, ML, or similar.
- 3+ years of experience in ML engineering.
- Experience with Python, TensorFlow, and scikit-learn.
- Familiarity with Docker, Kubernetes, and cloud services.
Certification:
ML-related certifications preferred.
Work mode:
Work from Office.
Location:
DHA 1 Sector F Rwp.
Salary:
Market Competitive.
Machine Learning Engineer
Posted 1 day ago
Job Viewed
Job Description
- Develop, implement, and optimize time series forecasting models .
- Build and maintain end-to-end ML pipelines for data ingestion, preprocessing, model training, and deployment.
- Apply machine learning algorithms (regression, classification, ensemble methods, boosting, etc.) to business use cases.
- Design and train deep learning architectures (LSTM, GRU, CNNs, Transformers) for sequential and structured data.
- Perform feature engineering, hyperparameter tuning, and model evaluation .
- Collaborate with data engineers to ensure data quality, scalability, and efficient model deployment .
- Deploy models to production environments .
- Familiarity with MLOps best practices (versioning, monitoring, CI/CD for ML).
- Monitor, retrain, and maintain models for continuous improvement and drift detection .
- Document processes, models, and findings to ensure knowledge sharing and reproducibility