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senior data scientist

NorthBay Solutions

<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>

Data Scientist

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>

<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>

<div>
 We are seeking a Data Engineer with 5+ years of hands-on experience and a strong background in real-time and batch data processing, containerization, and cloud-based data orchestration. This role is ideal for someone passionate about building robust, scalable, and efficient data pipelines, and who thrives in agile, collaborative environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain real-time data pipelines using streaming frameworks such as Kafka, Apache Flink, and Spark Structured Streaming.
 </li>
 <li>
 Develop batch processing workflows with Apache Spark (PySpark)
 </li>
 <li>
 Orchestrate and schedule data workflows using orchestration frameworks such as Apache Airflow and Azure Data Factory
 </li>
 <li>
 Containerize applications using Docker, manage deployments with Helm, and run them on Kubernetes
 </li>
 <li>
 Implement modern storage solutions using open formats such as Parquet, Delta Lake, and Apache Iceberg
 </li>
 <li>
 Build high-performance analytics engines using tools like Trino or Presto
 </li>
 <li>
 Collaborate with DevOps to manage infrastructure with Terraform and integrate with CI/CD pipelines via Azure DevOps
 </li>
 <li>
 Ensure data quality and consistency using tools like Great Expectations
 </li>
 <li>
 Write modular, well-tested, and maintainable Python and SQL code
 </li>
 <li>
 Develop an observability layer to monitor and optimize performance across data pipelines
 </li>
 <li>
 Participate in agile ceremonies and contribute to sprint planning and reviews
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Advanced Python programming with a strong focus on modular and testable code
 </li>
 <li>
 Strong knowledge of SQL and experience working with large-scale datasets
 </li>
 <li>
 Hands-on experience with at least one major cloud platform (Azure preferred)
 </li>
 <li>
 Solid experience with real-time data processing (Kafka, Flink, or Spark Streaming)
 </li>
 <li>
 Expertise in Apache Spark (PySpark) for batch processing
 </li>
 <li>
 Experience implementing lakehouse architectures and working with columnar storage (e.g., ClickHouse)
 </li>
 <li>
 Proficient in using Azure Data Factory or Apache Airflow for data orchestration
 </li>
 <li>
 Experience in building APIs to expose large datasets
 </li>
 <li>
 Solid experience with Docker, Kubernetes, and Helm
 </li>
 <li>
 Familiarity with data lake open formats such as Parquet, Delta Lake, and Iceberg
 </li>
 <li>
 Basic experience with Terraform for infrastructure provisioning
 </li>
 <li>
 Practical experience with data quality frameworks (e.g., Great Expectations)
 </li>
 <li>
 Comfortable working in agile development teams
 </li>
 <li>
 Proven ability in debugging and performance tuning of streaming and batch data jobs
 </li>
 <li>
 Experience with AI-driven tools (e.g., text-to-SQL) is a plus
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science or related discipline
 
 
 </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>

Senior/Principal Data Engineer

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