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NorthBay Solutions

<div>
 
 
 
 
 
 
 Job Title
 
 
 
 
 
 
 
 
 
 
 
 
 : Data Scientist
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-time, (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience with data structuring, cleaning, processing, and visualization tools.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience building and deploying data-driven or AI-assisted solutions.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Good-to-have: Exposure to .NET for application integration or workflow development.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
 
 
 
 
 
 
</div>

Data Scientist

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Islamabad<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
O43qpeEkSs</div>

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Islamabad
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

Confiz

<div>We are seeking a highly skilled Data Scientist 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>(3 -7)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>

<div>
 We are seeking a
 
 highly skilled Data Scientist
 
 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>
 (3 -7)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>

Awami Financial (Private) Limited

We are looking for a Data Analyst to join our team and turn data into actionable insights. The role involves analyzing customer and transaction data, building dashboards, and supporting decision-making with accurate reporting.Key Responsibilities: &middot; Manage and maintain customer and loan data records.&middot; Ensure data accuracy, confidentiality, and security in compliance with company policies.&middot; Develop and maintain reporting dashboards for management and operational use.&middot; Conduct data analysis to generate insights that support decision-making and business growth.&middot; Collaborate with internal teams to optimize data processes and workflows.Requirements:&middot; Bachelor&rsquo;s degree in Data Science, IT, Statistics, or related field.&middot; 1&ndash;2 years of proven experience in data management.&middot; Strong proficiency in MS Excel, SQL, and data visualization tools (e.g., Power BI, Tableau).&middot; Understanding of data security, compliance, and governance practices.&middot; Excellent analytical, problem-solving, and communication skills.Job Type: Full-timeWork Location: In person

Data Analyst

Darkroom

<div>
 
 Data Engineer | Matter
 
 
 
 
 About The Role
 
 
 
 We are seeking an experienced
 
 Senior Data Engineer
 
 . You&rsquo;ll work closely with our CTO, CPO, and product teams to architect, build, and deliver robust data pipelines and transformations for our always-on AI platform. Success in this role will have a direct, measurable impact on business outcomes and future product velocity.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect, build, and optimize scalable end-to-end data pipelines using dbt and our stack (Python microservices, Postgres, BigQuery, and GCP).
 </li>
 <li>
 Design, implement, and maintain ETL/ELT processes to ingest, clean, and transform large datasets from a variety of sources.
 </li>
 <li>
 Collaborate with product and engineering to define data requirements for new product features and analytics initiatives.
 </li>
 <li>
 Manage our data pipeline by onboarding new clients, loading their data, and applying all required formulas.
 </li>
 <li>
 Maintain and troubleshoot workflows by fixing broken formulas, adding new services, and ensuring reliable, high-throughput performance.
 </li>
 <li>
 Ensure data reliability, integrity, and security at scale.
 </li>
 <li>
 Troubleshoot, performance-tune, and document all pipelines and data workflows for smooth handoff.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 5+ years of hands-on experience building production-grade data pipelines, ETL/ELT workflows, and transformed datasets at scale.
 </li>
 <li>
 Expert-level Python; strong experience with dbt, Postgres, BigQuery, and core GCP data services (e.g., Dataflow, Pub/Sub, Storage, Composer).
 </li>
 <li>
 Demonstrated experience architecting, optimizing, and troubleshooting cloud-based data infrastructure.
 </li>
 <li>
 Familiarity with analytics, BI tools, and data visualization platforms is a plus.
 </li>
 <li>
 Startup or contract/consulting experience strongly preferred; you move quickly and commit to clear deliverables and deadlines.
 </li>
 <li>
 Excellent communication skills: you read requirements carefully, keep stakeholders looped in, and document as you go. You can boil down complex tasks into plain english for non-data engineers to understand.
 </li>
 <li>
 Low-ego, high-ownership, and passionate about building product-focused solutions.
 </li>
 </ul>
</div>

Data Engineer

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