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Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
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 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
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 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
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 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
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 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
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 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
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 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
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 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
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 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
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 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
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 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
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 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
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 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
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 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
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 </ul>
</div>

Data Scientist

Fusemachines

<div>About Fusemachines
Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world. 
 
Key Responsibilities<ul><li>
Design, build, and validate time-series forecasting models to predict key business metrics</li><li>
Experiment with and evaluate a diverse range of modeling techniques, including traditional ML models (e.g., XGBoost), statistical methods (e.g., Prophet), and advanced deep learning approaches (e.g., DeepAR, N-BEATS).</li><li>
Collaborate closely with senior data scientists to analyze business requirements, perform feature engineering, and iterate on model improvements.</li><li>
Work with data engineers to understand and utilize complex datasets from Snowflake</li><li>
Contribute to the deployment of the model in a cloud environment, ensuring it is scalable and maintainable.</li><li>
Take ownership of the long-term model lifecycle, including performance monitoring, retraining, and incorporating new data inputs as they become available.</li><li>
Translate complex model outputs into actionable insights and communicate findings to stakeholders across different business units.</li></ul><h3 class="jobSectionHeader">
Required Skills and Qualifications</h3><ul><li>
Proven professional experience as a Data Scientist with a strong emphasis on time-series analysis and forecasting.</li><li>
Hands-on experience building and deploying forecasting models using libraries/frameworks such as:<ul><li>
XGBoost</li><li>
Prophet</li><li>
Deep Learning frameworks (e.g., PyTorch, TensorFlow)</li></ul></li><li>
Proficiency in Python and its core data science ecosystem (e.g., pandas, NumPy, scikit-learn).</li><li>
Solid understanding of the underlying statistical and machine learning principles of various forecasting techniques.</li><li>
Ability to work collaboratively within a distributed team and effectively partner with client-side data scientists and engineers.</li><li>
Strong problem-solving skills with the ability to navigate complex data landscapes and translate business challenges into quantitative models.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Direct experience with advanced neural network architectures for time-series forecasting, such as DeepAR or N-BEATS.</li><li>
Familiarity with querying and working with data from data warehouses, particularly Snowflake.</li><li>
Experience with MLOps practices, including model deployment, monitoring, and maintenance in a cloud environment.</li><li>
Domain knowledge in finance, supply chain, or sales operations planning is a significant plus</li></ul> 
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
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NCRI PAKISTAN PVT. LTD.

We&rsquo;re looking to hire an experienced AI/ML Engineer to design and implement intelligent solutions that enhance our customer interaction analytics and CRM insights.Scope of Work<ul><li>Sentiment Analysis of Calls</li><li>Build and deploy models to analyze customer sentiment from call recordings or transcripts.</li><li>Deliver accurate emotion and tone detection using NLP and speech analytics.</li><li>Automated QA of Calls (Auto-QA)</li><li>Develop an AI-driven quality assurance system to evaluate agent performance across compliance, tone, empathy, and resolution metrics.</li><li>Utilize speech-to-text, NLP, and similarity-based evaluation for consistency with internal QA standards.</li><li>Optionally leverage RAG for dynamically referencing updated QA criteria or policy documents.</li><li>AI Integration with CRM (Trends &amp; Next Best Action)</li><li>Integrate AI with our CRM to uncover insights, performance trends, and customer behavior patterns.</li><li>Implement Retrieval-Augmented Generation (RAG) for context-aware recommendations and dynamic knowledge retrieval.</li><li>Use vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS) to enable semantic search and similarity analysis across CRM data.</li><li>Generate &ldquo;next best action&rdquo; suggestions for customer management based on historical interactions and outcomes.</li></ul>Ideal Candidate Qualifications<ul><li>Proven experience in Machine Learning, NLP, and Speech Analytics.</li><li>Strong command of Python, LLM APIs (e.g., OpenAI, Anthropic, Hugging Face).</li><li>Experience with RAG pipelines and vector databases for retrieval and semantic search.</li><li>Background in integrating AI solutions with CRM platforms (Salesforce, HubSpot, or custom systems).</li><li>Familiarity with cloud AI services (AWS Comprehend, Google Speech, or Azure Cognitive Services) is a plus.</li></ul>Deliverables<ul><li>Working prototypes or proof-of-concept modules for each component.</li><li>Scalable architecture and documentation for model deployment.</li><li>Optional dashboards or analytics interface for insights visualization.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs200,000.00 per monthWork Location: In person

Senior Ai / Machine Learning Engineer

ZIEL Global Private Limited

About the Role We&rsquo;re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.Key Responsibilities<ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Data Engineer

ieng Group

<div>
 
 The Company&rsquo;s Equal Opportunities policy applies equally to the recruitment process and must be complied with at every stage of the recruitment process. This means that prospective applicants should not be discriminated against either directly or indirectly on the grounds of race, nationality, ethnic origin, gender, marital status, sexual orientation, cultural or religious beliefs, disability and age. In addition, candidates should not be discriminated against based on pregnancy. Preparation of job descriptions, person specifications, advertisements, short-listing, interviewing and selection of applicants should reflect a commitment to achieving and maintaining equal opportunities within the workplace. Interviewers should only ask job-related questions.
 
 
 
 
 
 Role and Responsibilities:
 
 
 
 
 
 1. Programming and Scripting: Utilize programming languages such as Python, R, and Java to develop scripts for data processing tasks.
 
 
 
 
 
 2. Database Management: Work with various database systems including SQL and NoSQL databases for storing and managing data effectively.
 
 
 
 
 
 3. Container Management: Experience with container management frameworks like Docker, Kubernetes, and ECR to deploy and manage data processing applications efficiently.
 
 
 
 
 
 4. Data Processing Technologies: Proficiency in scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop to handle large volumes of data effectively.
 
 
 
 
 
 5. SQL Skills: Strong SQL skills across a variety of relational data warehousing technologies, especially in cloud data warehousing platforms such as Amazon Redshift, Google BigQuery, and Snowflake.
 
 
 
 
 
 6. Software Development Lifecycle (SDLC): Understanding of SDLC, particularly Agile methodologies, to ensure efficient project delivery.
 
 
 
 
 
 7. Big Data Principles: Thorough understanding of big data principles, techniques, and best practices.
 
 
 
 
 
 8. Data Pipeline Architecture: Design and develop scalable, reliable, and efficient data pipelines for collecting, ingesting, and processing diverse data from multiple sources.
 
 
 
 
 
 9. Data Modeling and Warehousing: Create and optimize data models to enable seamless integration of data from various sources into centralized data warehouses or data lakes.
 
 
 
 
 
 10. Data Governance and Security: Establish data governance frameworks and implement robust data security measures to ensure compliance with privacy regulations and protect sensitive information.
 
 
 
 
 
 11. Performance Optimization: Continuously monitor and fine-tune data platform performance to meet SLAs and optimize resource utilization.
 
 
 
 
 
 12. Technology Evaluation: Stay updated with industry trends, emerging technologies, and best practices in data engineering. Assess and recommend new tools and frameworks to improve data processing capabilities.
 
 
 
 
 
 13. Cross-Functional Collaboration: Collaborate with data analysts, data scientists, and software engineers to understand their data requirements, offer data engineering support, and contribute to the development of data-driven products and solutions.
 
 
 
 
 
 14. Data Quality and Monitoring: Implement robust data quality checks and monitoring systems to ensure the accuracy, consistency, and reliability of data.
 
 
 
 
 
 15. Automation and Fault Tolerance: Possess an &ldquo;automation-first&rdquo; mindset when building solutions, incorporating self-healing and fault-tolerant methods to minimize manual intervention and downtime.
 
 
 
 
 
 16. Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data engineering processes, best practices, and technical standards. Facilitate knowledge sharing sessions with the broader team.
 
 
 
 
 
 Qualifications Requirements:
 
 
 
 
 
 - 3 years of experience in data engineering or a related field.
 
 
 - Strong proficiency in programming languages such as Python, R, and Java.
 
 
 - Experience with database management systems, including SQL and NoSQL databases.
 
 
 - Familiarity with container management frameworks like Docker, Kubernetes, and ECR.
 
 
 - Experience with scalable and distributed data processing technologies/frameworks such as Spark/PySpark, DBT, Kafka, and Hadoop.
 
 
 - Solid understanding of big data principles, techniques, and best practices.
 
 
 - Experience with cloud data technology stacks such as Azure, AWS, or GCP is preferred.
 
 
 - Excellent communication and collaboration skills.
 
 
 - Ability to work effectively in a fast-paced, dynamic environment.
 
 
 
 
 
 Education Requirements:
 
 
 - Bachelor&rsquo;s degree in Computer Science, Engineering, or a related field.
 
 
 Advanced degree preferred.
 
 
 
</div>

Talha Bin yaseen

We are looking for a sharp and analytical Data Analyst to join our team in Islamabad. In this role, you will be the bridge between raw data and actionable business strategy. You will be responsible for analyzing user behavior, tracking digital performance, and providing the insights needed to optimize our online presence and drive growth. Your expertise in web analytics will be crucial to our success.Key Responsibilities<ul><li>Extract, clean, and transform data from various sources, including SQL databases, Google Analytics, and other digital marketing platforms.</li><li>Perform in-depth analysis of user behavior, customer journeys, and conversion funnels to identify trends, opportunities, and areas for improvement.</li><li>Develop, maintain, and automate interactive dashboards and reports in tools like Tableau, Power BI, or Looker Studio to provide stakeholders with real-time insights.</li><li>Manage, configure, and analyze data in Google Analytics 4 (GA4) to track website performance, marketing campaign effectiveness, and user engagement.</li><li>Write efficient and complex SQL queries to manipulate and analyze large datasets for deeper analysis.</li><li>Collaborate with the Marketing, Product, and Sales teams to define digital KPIs, track performance, and provide data-driven recommendations for optimization.</li><li>Present findings and strategic recommendations clearly and effectively to both technical and non-technical audiences.</li><li>Support A/B testing and other experimentation initiatives by providing the analytical framework and measuring results.</li></ul>What We're Looking For (Qualifications &amp; Skills)Required:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, Marketing, or a related quantitative field.</li><li>1-3 years of proven experience in a data analyst or digital analytics role.</li><li>Strong proficiency in SQL is a must.</li><li>Hands-on experience with Google Analytics (GA4) is essential, including configuration, event tracking, and report generation.</li><li>Experience with at least one data visualization tool such as Tableau, Power BI, or Looker Studio.</li><li>Solid analytical and problem-solving skills with a keen attention to detail.</li><li>Proficiency in Microsoft Excel/Google Sheets for data analysis.</li><li>Excellent verbal and written communication skills in English.</li></ul>Preferred (Nice-to-Haves):<ul><li>Google Analytics Certification.</li><li>Programming experience for data analysis with Python (especially Pandas, NumPy) or R.</li><li>Experience with other digital marketing platforms (e.g., Google Ads, Facebook Pixel, Google Search Console).</li><li>Understanding of basic statistical concepts (e.g., regression, hypothesis testing).</li><li>Prior experience in the [Your Industry, e.g., E-commerce, Digital Marketing] sector.</li></ul>Why Join Us?<ul><li>Competitive Salary: An attractive compensation package commensurate with experience.</li><li>Provident Fund &amp; Health Insurance: Comprehensive benefits including Provident Fund and health/medical coverage for you and your family.</li><li>Career Growth: A clear career path with ample opportunities for professional development and skill enhancement.</li><li>Work Environment: A modern, professional, and collaborative office environment in a prime location in Islamabad.</li><li>Learning Culture: We encourage continuous learning and often sponsor certifications and training programs.</li><li>Team Activities: Regular team lunches, company events, and a vibrant office culture.</li></ul>Key Changes &amp; Why They Work:<ul><li>Role Description: Now emphasizes analyzing user behavior and digital performance, making the Google Analytics requirement contextually relevant.</li><li>Key Responsibilities: Added a dedicated bullet point for Google Analytics 4 (GA4), specifying tasks like configuration and event tracking, which is highly sought-after.</li><li>Qualifications: Listed &quot;Hands-on experience with Google Analytics (GA4) is essential&quot; as a required skill. Also added &quot;Google Analytics Certification&quot; as a preferred qualification, which will attract more qualified candidates.</li><li>Industry Suggestion: Changed the example industries to E-commerce, SaaS, and Digital Marketing, where Google Analytics is most critical, helping you attract candidates with the right background.</li></ul>Job Type: Full-timeWork Location: In person

Data Analyst

About the Role We&rsquo;re looking for an experienced AI Engineer to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.Key Responsibilities<ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul>Qualifications<ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul>Preferred<ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

AI Engineer

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347 data scientist jobs IN Islamabad

Data Scientist

Data Scientist

Senior Ai / Machine Learning Engineer

Data Engineer

Data Engineer

Data Analyst

AI Engineer