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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>

Afiniti

<div>
 
 
 Who Are We?
 
 
 
 Over the past 16 years, Afiniti's patented technology has paired customers and contact centre agents in real-time based on how well they are likely to interact, leading to better experiences across the entire customer journey. As our products evolve, it is our mission to retain and grow revenue by creating repeatable AI-driven solutions that transition from high-touch managed services to product-led growth.
 
 
 Afiniti operates throughout the world and has driven billions of dollars of precisely measurable AI value for our telecommunications, banking, insurance, healthcare, and travel customers. To learn more, visit www.afiniti.com.
 
 
 
 
 
 
 Our Vision
 
 
 
 Afiniti&rsquo;s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.
 
 
 
 
 
 
 Our Ways of Working
 
 
 
 At Afiniti, how we work is just as important as what we achieve. Our
 
 Ways of Working
 
 are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.
 
 
 Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.
 
 
 
 
 
 
 The Role
 
 
 
 
 Data Scientist II
 
 
 
 
 Reporting to:
 
 Director &ndash; Data Science
 
 
 
 
 
 
 Location
 
 
 
 Pakistan
 
 
 
 Work Environment:
 
 Hybrid
 
 
 
 
 
 
 About The Role
 
 
 
 Afiniti is looking for a
 
 Data Scientist II
 
 who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti&rsquo;s AI-driven pairing and recommendation models that power human interactions at scale.
 
 
 As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.
 
 
 
 
 
 
 What Will be Your Key Deliverables
 
 
 <ul>
 <li>
 Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
 </li>
 <li>
 Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
 </li>
 <li>
 Conduct performance analyses using real-time control groups to measure the impact of Afiniti&rsquo;s AI deployments.
 </li>
 <li>
 Translate abstract or ambiguous problems into tractable, data-driven solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
 </li>
 <li>
 Communicate findings clearly and effectively to both technical and non-technical audiences.
 </li>
 <li>
 Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.
 </li>
 </ul>
 
 
 
 
 
 Who You Are
 
 
 
 
 Experience:
 
 2&ndash;3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.
 
 
 
 
 
 
 Education:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.
 
 
 
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Strong command of Python, R, or Julia for data analysis and modeling.
 </li>
 <li>
 Proficiency in SQL and experience with relational databases.
 </li>
 <li>
 Solid foundation in statistics, machine learning, and mathematical optimization.
 </li>
 <li>
 Hands-on experience working with large datasets, data visualization, and analytical reporting.
 </li>
 <li>
 Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
 </li>
 <li>
 Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
 </li>
 <li>
 Excellent communication and collaboration skills in a cross-functional setting.
 </li>
 </ul>
 
 
 
 
 
 Behavioral Traits:
 
 Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.
 
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
 </li>
 <li>
 Familiarity with Airflow or similar workflow orchestration tools.
 </li>
 <li>
 Experience with cloud-based data processing or distributed computing frameworks.
 </li>
 <li>
 Exposure to production-level machine learning deployment and monitoring.
 </li>
 </ul>
 
 
 
 
 
 What success looks like
 
 
 
 In this role, you will be successful if you:
 
 <ul>
 <li>
 Deliver robust, interpretable models that improve measurable business outcomes for clients.
 </li>
 <li>
 Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
 </li>
 <li>
 Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti&rsquo;s systems.
 </li>
 <li>
 Uphold high standards of analytical accuracy, reproducibility, and documentation.
 </li>
 </ul>
 
 
 
 
 
 Why should you apply
 
 
 <ul>
 <li>
 Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
 </li>
 <li>
 Exposure to large-scale, high-impact projects across industries and regions.
 </li>
 <li>
 Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
 </li>
 <li>
 Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.
 </li>
 </ul>
 
 
 
 
 
 What will make you stand out in the crowd
 
 
 
 You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti&rsquo;s mission to make human connections more valuable through AI.
 
 
 
 
 
 
 
 
 
 We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.
 
 
</div>

Data Scientist II

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.
Role Summary:
The Data Scientist will develop ML models to predict customer behavior, price sensitivity, and offer conversion probability. They will build and maintain elasticity models, segmentation models, and reinforcement learning frameworks to enable personalized pricing and offer recommendations.
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

Liberty Books Pvt Ltd

About the Role:Collect, clean, and analyze data from multiple sources (ERP, sales, warehouse, procurement). Develop automated reports, dashboards, and KPIs for management review. Prepare daily, weekly, and monthly performance reports. Identify trends, variances, and operational gaps using data insights. Support demand planning, inventory analysis, and supply chain reporting. Maintain data accuracy and ensure integrity across all systems. Assist departments with ad-hoc data requirements and analytical support. Recommend process improvements based on data findings.RequirementsBachelor&rsquo;s degree in Data Science, Business Analytics, Computer Science, Supply Chain, or a related field. 1&ndash;3 years of experience in data analysis (retail industry preferred). Strong command of MS Excel, Google Sheets, and Power BI/Tableau. Hands-on experience with ERP data extraction and reporting. Strong analytical and problem-solving skills. Ability to interpret complex data and present findings clearly. Attention to detail, accuracy, and time management skills.Job Type: Full-timePay: Rs40,000.00 - Rs50,000.00 per monthWork Location: In person

Data Analyst

NextGENi - A DotZero Company

<div>
 
 Job Details
 
 
 
 <ul>
 <li>
 Role: Data Engineer
 </li>
 <li>
 Location: Karachi (Onsite)
 </li>
 <li>
 Type: Full-Time
 </li>
 <li>
 Experience Range: 2-5 years
 
 
 </li>
 </ul>
 
 About NextGENi
 
 
 
 NextGENi (Next Generation Innovations) is transforming how regional startups build their technology teams. We help ambitious founders build and manage their offshore technology teams at twice the speed and fraction of the cost. We have built tech teams for some of the leading startups in the region including Careem, Dubizzle, and Kavak. Our mission is to create exceptional tech teams while maintaining an unparalleled culture and the highest regard for professional principles.
 
 
 
 About The Role
 
 
 
 We are looking for a Data Engineer to join our fast-paced and data-driven engineering team. In this role, the applicant will take ownership of data engineering solutions. As a client-facing professional, the selected applicant will be responsible for designing and implementing ETL pipelines and leveraging AWS services to manage and process large volumes of data efficiently.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead the design and implementation of ETL processes for data integration and transformation.
 </li>
 <li>
 Work extensively with AWS services including Lambda, Glue, Redshift, and QuickSight.
 </li>
 <li>
 Collaborate closely with clients and stakeholders to understand their data needs and provide strategic solutions.
 </li>
 <li>
 Ensure data quality, integrity, and scalability across various data systems.
 </li>
 <li>
 Optimize and maintain data pipelines and processes to meet performance standards.
 
 
 </li>
 </ul>
 
 Key Requirements
 
 
 
 <ul>
 <li>
 Extensive experience with ETL processes and data integration.
 </li>
 <li>
 Proficiency in AWS services such as Lambda, Glue, Redshift, and QuickSight.
 </li>
 <li>
 Strong communication skills with the ability to explain technical solutions.
 </li>
 <li>
 Ability to work independently and manage complex data engineering projects
 
 
 </li>
 </ul>
 
 Instructions to Apply
 
 
 
 To Apply, send your resumes to talent@nextgeni.com with subject mentioning &ldquo;NGI-DE-001&rsquo;&rsquo;
 
 
 
 Download a blank applicant form
 
 
 
 Download Form
 
 
 
 Disclaimer
 
 
 
 Kindly refrain from renaming this file or altering the form&rsquo;s format, as it may result in rejection by the ATS. member at NextGENi, and you have cleared the assignment.
</div>

Data Engineer

Explore 942+ Data scientist in Karachi Pakistan this December. Find roles across top companies and apply now to boost your career.

942 data scientist jobs IN Karachi Pakistan

Data Scientist

Data Scientist

Data Scientist

Data Scientist II

Data Scientist – Dynamic Pricing & Offer Optimization

Data Analyst

Data Engineer