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data team lead / head of data (night shift)

senior data scientist

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Karachi
 
 
 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

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Karachi<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!
1pbGdv7h1W</div>

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
i6GpPhb9iD</div>

AI Data Scientist

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

Logicloop Software Solutions PVT LTD

LogicLoop Software Solutions (PVT) LTD is a fast growing digital agency specializing in Website Design, Development, SEO, Mobile Applications and Marketing Services. As we expand, we&rsquo;re building our Sales &amp; Lead Generation team and are looking for a skilled Lead Scraper / Data Specialist to help us collect high-quality, verified leads.Key Responsibilities:<ul><li>Scrape and collect targeted business leads from LinkedIn, Google Maps, Facebook, Instagram, Discord, Twitch, Bark, Clutch, Crunchbase, and SBA listings.</li><li>Use scraping tools and automation utilities to gather verified, accurate data.</li><li>Clean, validate, and organize data in Excel or Google Sheets.</li><li>Research company information, categories, and contact details as per defined criteria.</li><li>Prepare daily/weekly reports on scraping progress and lead quality.</li><li>Collaborate with sales and marketing teams to ensure lead relevance.</li></ul>Requirements:<ul><li>Minimum 6 months of proven experience in lead generation or data scraping.</li><li>Ability to show previous results or project samples.</li><li>Hands-on experience with scraping tools such as Apollo, Phantombuster, ZoomInfo, Skrapp, Octoparse, Instant Data Scraper, etc.</li><li>Strong understanding of social media platforms and online communities for data sourcing.</li><li>Excellent research skills, attention to detail, and ability to meet deadlines.</li><li>Proactive, tech-savvy, and comfortable working independently.</li></ul>Perks:<ul><li>Competitive salary (30k-40k)</li><li>Opportunity to work with international clients</li><li>Growth-oriented environment</li></ul>Company: Logicloop Software Solutions Pvt LtdLocation: Onsite only (Remote positions not available)Employment Type: Full-timeWorking Hours: 9 PM &ndash; 6 AMJob Type: Full-timePay: Rs30,000.00 - Rs40,000.00 per monthApplication Question(s):<ul><li>How many years of Business Development experience do you currently have?</li><li>Have you used tools like Apollo, Phantombuster, Skrapp, Octoparse, or Instant Data Scraper?</li><li>Have you collected leads from platforms like LinkedIn, Discord, Twitch, Bark, or Clutch?</li><li> Discord, Twitch, Bark, or Clutch?</li></ul>Ideal answer: YesAre you available for full-time, in-person work in Karachi?<ul><li>Are you available to work night shift from 9:00 PM to 6:00 AM?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

Lead Generation & Data Scraping Specialist

Systems Limited

<div>We are seeking an experienced Data Architect to design, implement, and optimize enterprise-level data architectures. The ideal candidate will define data standards, models, and integration frameworks to ensure data availability, quality, and scalability across the organization.<h2 class="jobSectionHeader"> 
</h2>
<h2 class="jobSectionHeader">Responsibilities</h2>
<ul>
<li>Design and maintain enterprise data architecture, data models, and governance frameworks.
</li>
<li>Develop logical, conceptual, and physical data models for analytical and transactional systems.
</li>
<li>Lead the design of data pipelines, data warehousing solutions, and integration architectures.
</li>
<li>Collaborate with engineering teams to implement ETL/ELT processes, data flows, and APIs.
</li>
<li>Define data security, privacy, and compliance standards (e.g., GDPR, HIPAA).
</li>
<li>Evaluate and recommend cloud data platforms (AWS, Azure, GCP).
</li>
<li>Optimize database performance and ensure high availability and disaster recovery practices.
</li>
<li>Establish and enforce data quality and metadata management guidelines.
</li>
<li>Work closely with business stakeholders to understand data needs and translate them into architectural solutions.
</li>
<li>Provide technical leadership and mentor data engineers &amp; BI teams.</li> 
</ul>
<h2 class="jobSectionHeader">Requirements</h2>
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or related field.
</li>
<li>6&ndash;10+ years of experience in data engineering, database design, or similar roles.
</li>
<li>Strong expertise in:
<ul>
<li>Data modeling (ER diagrams, dimensional modeling, OLAP/OLTP)
</li>
<li>SQL &amp; NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB)
</li>
<li>ETL/ELT tools (Informatica, Talend, Azure Data Factory, DBT, etc.)
</li>
<li>Cloud data platforms (AWS Redshift, Azure Synapse, BigQuery)
</li>
</ul></li><li>Experience with data warehousing, data lakes, and lakehouse architectures.
</li>
<li>Familiarity with big data technologies (Spark, Hadoop, Kafka) is a plus.
</li>
<li>Strong understanding of data governance, security, and metadata management tools.
</li>
<li>Excellent communication and architectural documentation skills.</li></ul></div>

Senior Managing Consultant Data Analytics

Confiz

<div>We are seeking an experienced Azure Data Engineer (5+ years) with strong expertise in data warehousing on lakehouse architecture, data engineering, data quality, and governance. The ideal candidate will design and build scalable data pipelines on Microsoft Fabric, implement data quality frameworks, and operationalize governance processes using Microsoft Purview. This role combines technical delivery with data compliance, ensuring trusted and well-governed data across the organization.
Key Responsibilities
<ul><li>Design and develop batch data pipelines using Fabric Pipelines and PySpark.</li>
<li>Implement data quality rules, validation checks, and monitoring dashboards.</li>
<li>Develop data catalog, lineage, classification, and business glossary in Microsoft Purview.</li>
<li>Enforce data governance policies, standards, and best practices across Microsoft Fabric</li>
<li>Collaborate with DevOps to automate deployments using Azure DevOps.</li>
<li>Integrate data quality in CI/CD pipelines through Azure DevOps.</li>
<li>Ensure compliance with data privacy regulations (e.g., PDPL).</li>
<li>Partner with business and data stewards to improve overall data integrity and usability.</li>
</ul>
Required Skills &amp; Experience
<ul><li>5+ years of experience in data engineering, quality, and governance roles.</li>
<li>Strong hands-on experience with Azure Data Factory, Apache Spark (PySpark), and Azure Synapse/Fabric.</li>
<li>Proven expertise in Microsoft Purview for governance and catalog management.</li>
<li>Proficient in Python and SQL for data processing and validation.</li>
<li>Understanding of data quality dimensions, profiling, and cleansing techniques.</li>
<li>Strong analytical, problem-solving, and communication skills.</li>
<li>Experience with Great Expectations or similar data validation tools is a plus.</li>
</ul>
Preferred Qualifications
<ul><li>Microsoft Certified: Fabric Data Engineer Associate or equivalent certification.</li>
<li>Experience with Microsoft Fabric and AI-driven metadata or quality tools.</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 Engineer – Data Quality & Governance

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AI Data Scientist

Lead Generation & Data Scraping Specialist

Senior Managing Consultant Data Analytics

Principal Data Engineer – Data Quality & Governance