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NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Senior Data Scientist</h3>
Location: Islamabad<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4>
Job Description:
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Key Responsibilities<ul><li>
Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.</li><li>
Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.</li><li>
Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.</li><li>
Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.</li><li>
Build Python-based tools and scripts for data processing, visualization, and decision automation.</li><li>
Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.</li><li>
Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.</li><li>
Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.</li></ul> 
Requirements<ul><li>
8+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).</li><li>
Strong background in agentic AI systems and their practical applications in business or technical workflows.</li><li>
Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).</li><li>
Solid understanding of data structuring, processing, and visualization.</li><li>
Proven track record of building and deploying data-centric and AI-assisted solutions.</li><li>
Experience managing cross-functional teams and delivering complex technical projects.</li><li>
Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
CNGqRj8DRV</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 
 Location:
 
 Islamabad
 
 
 
 Job Type:
 
 Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the design, implementation, and optimization of LLM-driven systems and agentic AI workflows.
 </li>
 <li>
 Develop and manage data pipelines for extracting, structuring, and processing large datasets to support AI-driven initiatives.
 </li>
 <li>
 Integrate LLMs (e.g., OpenAI GPT, Anthropic Claude, Gemini, Llama) into data workflows to enhance automation, insight generation, and business intelligence.
 </li>
 <li>
 Collaborate with technical and business stakeholders to identify opportunities for LLM and agentic AI adoption in operational workflows.
 </li>
 <li>
 Build Python-based tools and scripts for data processing, visualization, and decision automation.
 </li>
 <li>
 Research and benchmark cutting-edge open-source and proprietary AI models to align with project and product requirements.
 </li>
 <li>
 Implement data monitoring tools and automated pipelines to ensure accuracy, reliability, and scalability of deployed models and data systems.
 </li>
 <li>
 Contribute to GenAI initiatives and help drive innovation through experimentation with new AI frameworks and agentic architectures.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 Hands-on experience with LLMs (e.g., GPT-4/5, Claude, Gemini, Llama, or similar).
 </li>
 <li>
 Strong background in agentic AI systems and their practical applications in business or technical workflows.
 </li>
 <li>
 Expert-level proficiency in Python (data manipulation, API integrations, prompt engineering, and workflow automation).
 </li>
 <li>
 Solid understanding of data structuring, processing, and visualization.
 </li>
 <li>
 Proven track record of building and deploying data-centric and AI-assisted solutions.
 </li>
 <li>
 Experience managing cross-functional teams and delivering complex technical projects.
 </li>
 <li>
 Excellent communication skills with the ability to translate technical outputs into actionable insights for business stakeholders.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
</div>

Confiz

<div>We are seeking a highly skilled Data Scientist (5&ndash;8 years of experience) to drive data-driven insights, develop predictive models, and build scalable data preparation pipelines. The ideal candidate will be proficient in Python or R, statistical analysis, and traditional machine learning techniques, with hands-on experience in leveraging Oracle data platforms for analytical workloads.
This role involves conducting exploratory data analysis (EDA), feature engineering, and model development, along with collaborating closely with engineering and business teams to deliver impactful and production-ready data science solutions.
Key Responsibilities
<ul><li>Perform exploratory data analysis (EDA) to uncover trends, patterns, and anomalies in large datasets.</li>
<li>Apply statistical methods and hypothesis testing to generate actionable insights.</li>
<li>Design, build, and validate machine learning models (regression, classification, clustering, etc.).</li>
<li>Develop scalable data preparation and feature engineering pipelines for model training.</li>
<li>Optimize model performance through hyperparameter tuning, feature selection, and validation.</li>
<li>Work with Oracle databases, Oracle SQL, and related tools to extract, transform, and analyze data.</li>
<li>Collaborate with data engineers and BI teams to integrate models into business applications and reporting layers.</li>
<li>Evaluate model outcomes using appropriate metrics and refine models for deployment.</li>
<li>Stay abreast of emerging trends in data science, ML, and AI, continuously enhancing analytical methodologies.</li>
<li>Present findings and recommendations to business stakeholders in a clear and actionable format.</li>
</ul>
Required Skills &amp; Experience
<ul><li>Bachelor&rsquo;s or equivalent degree in Data Science, Computer Science, Information Technology, or a related field.</li>
<li>5&ndash;8 years of hands-on experience in data science, machine learning, or statistical analysis.</li>
<li>Strong programming proficiency in Python or R for data analysis and model building.</li>
<li>Solid understanding of machine learning algorithms (e.g., regression, decision trees, random forests, SVMs).</li>
<li>Proficiency in statistical analysis, hypothesis testing, and probability theory.</li>
<li>Experience in data preprocessing, feature engineering, and dimensionality reduction.</li>
<li>Hands-on experience with ML libraries and frameworks (Scikit-learn, XGBoost, LightGBM, Statsmodels, etc.).</li>
<li>Strong SQL skills, including experience working with Oracle Database and Oracle Analytics for data extraction and transformation.</li>
<li>Experience handling large-scale structured and unstructured datasets.</li>
<li>Exposure to model deployment, monitoring, or integration with enterprise systems.</li>
<li>Excellent problem-solving, analytical, and communication skills with the ability to translate complex insights for business users.</li>
</ul>
Preferred Qualifications
<ul><li>Experience working within Oracle data ecosystems (e.g., Oracle Autonomous Database, Oracle Data Science, or Oracle Analytics Cloud).</li>
<li>Familiarity with big data technologies (Spark, Hadoop) for large-scale ML workloads.</li>
<li>Experience with deep learning frameworks (TensorFlow, PyTorch).</li>
<li>Exposure to MLOps, including CI/CD pipelines, model versioning, and lifecycle management.</li>
<li>Understanding of A/B testing, experiment design, and data validation techniques.</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making 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: https://www.linkedin.com/company/confiz-pakistan/</div>

Principal Data Scientist

Value Engineering

Location: Bahria Phase 4, Rawalpindi (Onsite) Experience Required: Minimum 5+ Years Job Type: Full-Time Shift: Night ShiftPosition Overview:We are looking for an experienced and innovative AI/ML Engineer to join our dynamic team at The Value Engineering. The ideal candidate will have a strong background in machine learning, deep learning, and artificial intelligence, with proven experience in building, deploying, and optimizing AI models that solve complex, real-world problems.This role offers an opportunity to lead impactful projects, collaborate with cross-functional teams, and push the boundaries of what&rsquo;s possible with data-driven intelligence.Key Responsibilities:<ul><li>Design, develop, and deploy advanced AI/ML models and predictive systems.</li><li>Build and maintain data pipelines, from data collection to preprocessing and model deployment.</li><li>Apply statistical analysis, optimization, and machine learning algorithms to large-scale datasets.</li><li>Collaborate with data scientists, software engineers, and business teams to deliver production-grade solutions.</li><li>Monitor and fine-tune model performance for scalability and accuracy.</li><li>Research and implement cutting-edge ML algorithms and frameworks.</li><li>Develop tools and processes for automated model training, evaluation, and deployment (MLOps).</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>5+ years of hands-on experience in AI/ML model development and deployment.</li><li>Strong command of Python and libraries such as TensorFlow, PyTorch, Scikit-learn, Keras, NumPy, and Pandas.</li><li>Proven experience with data preprocessing, model optimization, and feature engineering.</li><li>Experience in cloud platforms (AWS, Azure, or GCP) and containerization tools (Docker, Kubernetes).</li><li>Familiarity with API integration and model serving using Flask/FastAPI.</li><li>Deep understanding of algorithms, statistics, and mathematical modeling.</li><li>Strong problem-solving, analytical thinking, and teamwork skills.</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Are you comfortable working in Night Shift?</li><li>Are you comfortable commuting to bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

Senior AI/ML Engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Cloudera Data Engineer</h2>
Location: Remote (UAE Time Zone) 
Experience: 5+ Years 
Availability: Immediate joiners or candidates who can start within 30 days preferred<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking an experienced Cloudera Data Engineer to design, build, and maintain data pipelines and processing frameworks across Cloudera&rsquo;s ecosystem. The ideal candidate will have strong expertise in Spark, Hive, Impala, NiFi, and Oozie, and proven experience optimizing large-scale data pipelines for performance and reliability.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain ETL/ELT pipelines using Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Optimize data pipelines for performance, reliability, and cost efficiency across batch and streaming workloads.</li><li>
Develop automation scripts and reusable frameworks for data ingestion, transformation, and cleansing.</li><li>
Collaborate with Cloudera Administrators to tune performance and manage cluster resources efficiently.</li><li>
Troubleshoot and resolve data pipeline failures, performance bottlenecks, and data quality issues.</li><li>
Monitor cluster utilization, job performance, and data throughput using Cloudera Manager.</li><li>
Work with DevOps/Infrastructure teams to define and maintain CI/CD pipelines, automation for deployments, and monitoring of data jobs.</li><li>
Participate in incident management, root cause analysis, and preventive maintenance.</li><li>
Ensure pipelines meet SLAs, data quality, and latency requirements for analytics workloads.</li></ul><h3 class="jobSectionHeader">
Requirements</h3><ul><li>
5+ years of experience as a Data Engineer in a Cloudera-based environment.</li><li>
Strong hands-on experience with Spark, Hive, Impala, NiFi, and Oozie.</li><li>
Solid understanding of ETL design, performance optimization, and data governance principles.</li><li>
Experience with Linux/Unix scripting and CI/CD integration.</li><li>
Excellent troubleshooting and communication skills.</li></ul>
l17IPmQvjU</div>

Cloudera Data Engineer

Fusemachines

<div>
 
 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.
 
 
 
 Type: Remote, Full-time
 
 
 
 Inviting Data Analysts
 
 
 Are you an experienced Data Analyst specializing in transforming Cloud Data and modern warehousing into strategic, executive-level insights?
 
 
 We are building a dynamic pipeline of pre-qualified talent to fill critical data engineering roles as our business continues to scale.
 
 
 By providing your information, you are included in our priority pipeline of highly qualified candidates across various specialized opportunities within Fusemachines. This curated list ensures you will be among the very first to receive consideration for future full-time opportunities, giving you a significant advantage and leading to a much shorter evaluation and interview process when a critical role opens.
 
 
 
 About the Role:
 
 
 
 Qualifications &amp; Experience:
 
 
 <ul>
 <li>
 Technical Stack: Expert proficiency and mandatory experience with the entire Microsoft BI Stack including Power BI, Power Automate, Azure, SQL Server, DevOps, and GIT
 </li>
 <li>
 Data Skills: Expert ability in writing SQL queries and using DAX (Data Analysis Expressions) for custom calculations on complex Enterprise Data Warehouses. Strong knowledge of logical and semantic data modeling is required
 </li>
 <li>
 Education: Bachelor's or Master's degree in a quantitative field (Statistics, Mathematics, Computer Science)
 </li>
 <li>
 Soft Skills: Strong experience with Agile/Scrum methodologies, demonstrated leadership to mentor junior analysts, and excellent communication skills to effectively translate complex insights to non-technical stakeholders
 
 
 </li>
 </ul>
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and maintain intuitive analytical workflows and visual representations using Power BI Reports, Dashboards, and Apps
 </li>
 <li>
 Lead the entire data lifecycle, including data collection, rigorous cleaning, modeling, and quality assurance to ensure data integrity
 </li>
 <li>
 Design, develop, and implement automated business processes using Power Automate
 </li>
 <li>
 Collaborate with cross-functional teams to translate business requirements into technical data and report specifications
 </li>
 <li>
 Ensure the availability and optimal performance of all developed analytical artifacts
 
 
 </li>
 </ul>
 
 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.
 
 
 
 Powered by JazzHR
 
 
 XaBeT3YHmb
</div>

Inviting Data Analysts

KEMAT CONSULTING

Company: Kemat Consulting Limited Location: Blue Area, Islamabad Job Type: Full-TimeAbout the Role:The principal responsibility of the Data Engineer role is to contribute to the development of digital tools, processes, and outputs, including the data infrastructure that underpins all BI activity. You will support the wider project team, enabling effective delivery of projects for our clients.You will work closely with project teams and occasionally with stakeholders from other organizations, especially in joint ventures or direct client projects. This is an excellent opportunity to learn from experienced practitioners and enhance your technical skill set.Key Responsibilities:<ul><li>Develop and maintain data pipelines and orchestration using Microsoft Fabric and Azure ecosystem.</li><li>Build and manage data warehouses and data marts.</li><li>Apply ELT/ETL, medallion architecture, and lakehouse design principles.</li><li>Work with the modern data engineering lifecycle, ensuring best practices are followed.</li><li>Interface with project teams and stakeholders to provide timely access to data.</li><li>Adhere to a structured development lifecycle: requirements definition, design, development, testing, deployment, and post-implementation support.</li><li>Ensure version control and high standards of data security throughout the development process.</li></ul>Required Skills &amp; Qualifications:<ul><li>Expert understanding of SQL.</li><li>Experience with Microsoft Azure and Microsoft Fabric ecosystem (preferably within the last 12 months).</li><li>Proficient in data integration methods and tools.</li><li>Hands-on experience with data pipelines, warehouses, and marts.</li><li>Knowledge of Azure DevOps for CI/CD and deployment.</li><li>Expertise in SQL, Python, PowerShell, DAX, M.</li><li>Understanding of modern data engineering best practices.</li><li>Ability to work within an Agile framework.</li><li>Microsoft DP-600 or DP-700 (Fabric Data Engineer) certification preferred.</li><li>Familiarity with Microsoft productivity suite: SharePoint, Teams, Office 365.</li><li>Strong understanding of data structures, security, and governance.</li><li>Excellent organizational skills and ability to manage deliverables to time and quality.</li><li>Experience working in a consultancy environment and managing multiple stakeholders.</li></ul>Desirable Skills &amp; Attributes:<ul><li>Experience supporting BI and data analytics software.</li><li>Collaborative team player with a willingness to share knowledge and mentor others.</li><li>Confident in asking questions, making suggestions, and challenging the status quo.</li><li>Excellent written, verbal, and presentation skills in English.</li><li>Commitment to inclusive working practices.</li><li>Strong problem-solving and interpersonal skills.</li></ul>Why Join Us:<ul><li>Opportunity to work with cutting-edge Microsoft Fabric and Azure technologies.</li><li>Exposure to high-profile projects and client engagements.</li><li>Career growth through structured training, mentoring, and hands-on experience.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs800,000.00 per monthWork Location: In person

Data Engineer – Microsoft Fabric

Explore 363+ Data scientist in Islamabad this November. Find roles across top companies and apply now to boost your career.

363 data scientist jobs IN Islamabad

Senior - Data Scientist

Senior - Data Scientist

Principal Data Scientist

Senior AI/ML Engineer

Cloudera Data Engineer

Inviting Data Analysts

Data Engineer – Microsoft Fabric