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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>

<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>

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

TechBiz Global GmbH

<div>At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Data Scientist to join one of our clients' teams. If you're looking for an exciting opportunity to grow in a innovative environment, this could be the perfect fit for you. 
Key Responsibilities:<ul><li>
Build and deploy models for:
Price Elasticity / Conversion Prediction
Churn Propensity / Retention Uplift
Segment Discovery &amp; Similarity (Clustering, KNN)
Offer Recommendation / Ranking (Scoring Models)
</li></ul><ul><li>Design A/B testing and uplift modeling to evaluate campaign performance.
</li><li>Develop simulation engines for pricing what-if analysis and scenario testing.
</li><li>Create automated pipelines for model training, scoring, and retraining.
</li><li>Work closely with Data Engineers to ensure feature store alignment.
</li><li>Collaborate with the Business Decisioning team to translate insights into rules and thresholds.
</li><li>Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.</li></ul> 
Required Skills:<ul><li>
Experience Level: 5&ndash;8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems</li></ul><ul><li>
Strong foundation in Machine Learning, Statistics, and Econometrics.
</li><li>Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
</li><li>Experience with model lifecycle management (MLOps).
</li><li>Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
</li><li>Ability to design feature engineering pipelines and perform A/B testing.
</li><li>Expertise in data visualization and storytelling for non-technical stakeholders</li></ul>
Preferred (Nice-to-Have):<ul><li>
Experience with Telecom Offer &amp; Recharge Modeling or Dynamic Pricing Systems.
</li><li>Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.
</li><li>Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling.
</li><li>Experience integrating ML outputs into business decision engines or rule systems.</li></ul></div>

Data Scientist – Dynamic Pricing & Offer Optimization

<div>BI Consultant (Google Looker / LookML / Looker Studio) 
 
Experience: 8+ Years 
Location: Remote 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced BI Consultant with deep, hands-on expertise in Google Looker, LookML, and Looker Studio. The ideal candidate will be responsible for designing scalable semantic models, developing high-quality dashboards, and transforming complex business data into actionable insights. This role requires strong collaboration with cross-functional teams, excellent analytical ability, and a solid understanding of modern cloud data platforms.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain LookML models, explores, and reusable components to support scalable and governed analytics.</li><li>
Build interactive dashboards, reports, and visualizations in Looker and Looker Studio tailored to business needs.</li><li>
Create and optimize semantic data models ensuring consistency, reliability, and long-term maintainability.</li><li>
Collaborate with data engineering and business teams to define requirements, translate analytical needs, and ensure high-quality data delivery.</li><li>
Perform data validation, testing, and QA to ensure accuracy and performance of LookML and dashboards.</li><li>
Optimize Looker queries, model structures, and BI performance across large datasets.</li><li>
Manage version control workflows (Git) and follow structured development and deployment processes.</li><li>
Work with cloud data warehouses such as BigQuery, Snowflake, or Redshift to design and integrate data structures.</li><li>
Troubleshoot issues across modeling, data pipelines, and visualization layers.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
8 years of overall BI experience with proven hands-on expertise in Google Looker, LookML, and Looker Studio.</li><li>
Strong knowledge of SQL, relational data structures, and analytical data modeling.</li><li>
Experience building scalable LookML semantic layers and maintaining governed datasets.</li><li>
Solid understanding of cloud data warehouses (BigQuery preferred; Snowflake/Redshift is a plus).</li><li>
Proficient with Git-based version control and collaborative development workflows.</li><li>
Strong analytical, debugging, and performance optimization skills.</li><li>
Ability to translate business requirements into effective BI solutions.</li><li>
Excellent communication and stakeholder-management skills.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with dbt, BigQuery ML, or other modern data stack technologies.</li><li>
Background in data engineering or advanced SQL optimizations.</li><li>
Knowledge of data governance and enterprise BI architectures.</li></ul>
LToDlDva9F</div>

BI Consultant (Google Looker / LookML / Looker Studio)

Alibaba

<div><div>Basic Infomation<div><div><div>
Department:
Daraz</div><div>
Degree:
Bachelor</div><div>
Work Experience:
3 year</div></div></div></div><div>
Job Description<div>
Customer Experience &amp; Strategic Analytics
 Lead deep-dive analyses to identify major friction points across the buyer journey and recommend improvements that drive NPS, CSAT, and issue resolution rates.
 Proactively monitor and interpret CXP performance trends, elevating insights to senior stakeholders with clear business storytelling.
 Own analytical workstreams for major company-wide initiatives (NPS revamping, product, launches, operational changes).
Dashboarding, Data Ownership &amp; KPI Governance
 Design, automate, and maintain scalable BI dashboards (PowerBI/Tableau) for regional stakeholders.
 Ensure KPI governance, metric alignment, and data accuracy across CXP reporting layers.
Root Cause Analysis &amp; Problem-Solving Leadership
 Lead root cause analyses for high-priority customer issues, working collaboratively with Ops, Product, and Tech.
 Conduct and guide advanced analytics such as cohorting, segmentation, A/B testing.
Cross-Functional Influence
 Act as a BI partner to Key CXP stakeholder - deeply understanding business challenges and shaping analytical solutions.
 Manage and prioritize complex analytical pipelines and ad hoc requests, ensuring timely delivery and clear communication.
 Mentor junior analysts (S1), providing guidance on SQL, dashboarding, and analytical frameworks.
Operational Excellence &amp; Automation
 Develop automation solutions to replace recurring manual reporting.
 Troubleshoot data flow issues, validate upstream pipelines, and work closely with DE/Tech teams to strengthen data infrastructure.</div></div><div>
Position Requirement<div>
Required Skills &amp; Qualifications
 Bachelors degree in a STEM field from a reputable institution.
 3+ years of experience in an analytical, BI, or data-focused role, preferably in a fast-paced or high-scale environment.
 Expert-level SQL proficiency with hands-on experience in handling complex datasets.
 Strong command of PowerBI/Tableau, including data modeling, calculated fields, and dashboard design best practices.
 Advanced Excel; Python proficiency is a plus.
 Strong ownership mindset - able to independently structure work, manage competing priorities, and deliver under tight timelines.
 Excellent communication, business understanding, and problem-solving skills.</div></div></div>

Daraz PK-BI Senior Analyst-CXP

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1102 analytical data scientist jobs IN Karachi

Data Scientist

Data Scientist

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AI Data Scientist

Data Scientist – Dynamic Pricing & Offer Optimization

BI Consultant (Google Looker / LookML / Looker Studio)

Daraz PK-BI Senior Analyst-CXP