📊 Data Science & AI

Client Service Representative – Human Resources Domain at ibex

/ / 📊 Data Science & AI

Client Service Representative – Human Resources Domain

🏢 Company:
ibex
📍 Location:
Karachi Division, Sindh, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

bex, on behalf of one of its international clients, is seeking a highly motivated and skilled professional to join our team as aClient Service Representative Human Resources Domain.The selected individualmust be comfortable working in a night shift (onsite).This role offers an excellent opportunity to collaborate with a global organization and further develop your expertise in a dynamic and supportive environment.Job SummaryWe are looking for a customer-focused professional to deliver exceptional service to our clients. The successful candidate will be responsible for addressing client inquiries, efficiently resolving HR-related issues, and providing tailored product and service recommendations.Key ResponsibilitiesRespond promptly and professionally to customer inquiries and concerns.Actively listen and apply problem-solving skills to resolve issues effectively.Maintain a courteous and composed demeanor in high-pressure situations.Provide and receive feedback to support continuous service improvement.Recommend products and services aligned with customer needs.RequirementsBachelors degree in human resources or a related field.Outstanding verbal and written communication skills, with the ability to engage confidently with international clients.Proficiency in basic computer applications, including typing, email, and business software tools.Strong adaptability to changing situations and priorities.Excellent command of spoken and written English.Willingness and ability to work a night shift (onsite). bex, on behalf of one of its international clients, is seeking a highly motivated and skilled professional to join our team as aClient Service Representative Human Resources Domain.The selected individualmust be comfortable working in a night shift (onsite).This role offers an excellent opportunity to collaborate with a global organization and further develop your expertise in a dynamic and supportive environment. bex Client Service Representative Human Resources Domain. must be comfortable working in a night shift (onsite).

Client Service Representative – Human Resources Domain at ibex Read Post »

📊 Data Science & AI

Data Scientist at Taraki

/ / 📊 Data Science & AI

Data Scientist

🏢 Company:
Taraki
📍 Location:
Lahore, Punjab, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

Taraki is hiring for one of its clients.Location: RemoteExperience Level: 5 to 8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems Department: Data AI EngineeringCompensation: PKR 600,000 to 850,000 (based on experience)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 ResponsibilitiesBuild and deploy models for:Price Elasticity / Conversion PredictionChurn Propensity / Retention UpliftSegment Discovery Similarity (Clustering, KNN)Offer Recommendation / Ranking (Scoring Models)Design A/B testing and uplift modeling to evaluate campaign performance.Develop simulation engines for pricing what-if analysis and scenario testing.Create automated pipelines for model training, scoring, and retraining.Work closely with Data Engineers to ensure feature store alignment.Collaborate with the Business Decisioning team to translate insights into rules and thresholds.Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.Required SkillsStrong foundation in Machine Learning, Statistics, and Econometrics.Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).Experience with model lifecycle management (MLOps).Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.Ability to design feature engineering pipelines and perform A/B testing.Expertise in data visualization and storytelling for non-technical stakeholders.Tools TechnologiesData Science: Python, R, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorchMLOps: MLflow, SageMaker, Databricks ML, Azure ML StudioData: Databricks, Snowflake, S3, Delta LakeVisualization: PowerBI, Tableau, Streamlit, DashExperimentation: Evidently AI, CausalML, upliftMLVersioning: Git, DVC, MLflow TrackingPreferred (Nice-to-Have)Experience with Telecom Offer Recharge Modeling or Dynamic Pricing Systems.Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling.Experience integrating ML outputs into business decision engines or rule systems. Build and deploy models for:Price Elasticity / Conversion PredictionChurn Propensity / Retention UpliftSegment Discovery Similarity (Clustering, KNN)Offer Recommendation / Ranking (Scoring Models)Design A/B testing and uplift modeling to evaluate campaign performance.Develop simulation engines for pricing what-if analysis and scenario testing.Create automated pipelines for model training, scoring, and retraining.Work closely with Data Engineers to ensure feature store alignment.Collaborate with the Business Decisioning team to translate insights into rules and thresholds.Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models. Build and deploy models for: Price Elasticity / Conversion PredictionChurn Propensity / Retention UpliftSegment Discovery Similarity (Clustering, KNN)Offer Recommendation / Ranking (Scoring Models) Price Elasticity / Conversion Prediction

Data Scientist at Taraki Read Post »

📊 Data Science & AI

Data Analyst at Marham

/ / 📊 Data Science & AI

Data Analyst

🏢 Company:
Marham
📍 Location:
Lahore, Punjab, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

Convert clinical trial inclusion/exclusion criteria into precise, computable logic.Build and maintain semantic/business layer structures for patient cohort identification.Develop complex SQL (CTEs, window functions, UDFs/TVFs) and Python-based data logic.Collaborate with Data Engineering and AI teams to design scalable cohort models.Validate data outputs using EHR, claims, labs, and other clinical datasets.Communicate requirements and results clearly with clinical and product stakeholders.RequirementsStrong SQL and Python (procedural programming).Experience interpreting clinical trial protocols (I/E criteria).Excellent communication and cross-functional collaboration skills.Understanding of healthcare data structures and quality assurance methods.Experience with AWS (S3, Lambda, Athena) or GCP (Cloud Storage, Cloud Functions, BigQuery).Familiarity with FHIR, OMOP, CDISC, or semantic/ontology modeling.Background in clinical operations, real-world evidence (RWE), or digital health.BenefitsCompetitive salary and performance-based incentivesPaid time off and public holidaysProfessional development opportunities (training, workshops, certifications)Access to industry conferences and networking eventsSupportive, collaborative, and mission-driven work culture Convert clinical trial inclusion/exclusion criteria into precise, computable logic. Convert clinical trial inclusion/exclusion criteria into precise, computable logic. Build and maintain semantic/business layer structures for patient cohort identification. Build and maintain semantic/business layer structures for patient cohort identification.

Data Analyst at Marham Read Post »

📊 Data Science & AI

Data Scientist at Datamatics Technologies

/ / 📊 Data Science & AI

Data Scientist

🏢 Company:
Datamatics Technologies
📍 Location:
Islamabad, Islāmābād, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

Job Description: Data Scientist (MLOps, CI/CD, Generative AI)Experience : 4 to 6 YearsLocation: Isb / HybridAbout the RoleWe are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen.You will be responsible for the end-to-end machine learning lifecyclefrom data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.Candidates with hands-on expertise in statistical models, traditional ML, deep learning architectures, time series forecasting, and financial modeling will be strongly preferred.Experience with GPUs, CUDA, and high-performance computing is a plus, given the scale and complexity of deep learning and Generative AI workloads.Key ResponsibilitiesEngage directly with customers to understand business problems and translate them into data science solutions.Design and deliver impactful projects that clearly demonstrate value and help win new business opportunities.Build and deploy end-to-end ML/AI solutions across domains such as NLP, Computer Vision, Generative AI, and Forecasting.Develop and optimize MLOps pipelines for model training, deployment, and monitoring with CI/CD best practices.Implement statistical, traditional ML, and deep learning models, ensuring accuracy, scalability, and robustness.Create time series and financial forecasting models for predictive analytics in business and finance use cases.Apply Generative AI methods (LLMs, RAG, LangChain, Hugging Face, Diffusion Models) to enterprise use cases.Optimize training and inference with GPU acceleration and CUDA where applicable.Ensure production-grade deployment with monitoring, drift detection, and retraining strategies.Collaborate with product managers, engineers, and stakeholders to align technical solutions with business outcomes.Stay updated with industry trends and bring innovative AI/ML solutions to customer engagements.Required QualificationsEducation: Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field.Experience: 3 years of professional experience in end-to-end ML/AI solution delivery.Technical Expertise:Statistical models (hypothesis testing, regression, time series analysis).Traditional ML (SVM, decision trees, ensemble methods, clustering, recommendation systems).Deep Learning (CNNs, RNNs, LSTMs/GRUs, Transformers, GANs, Diffusion Models).Time Series Financial Models (ARIMA, Prophet, advanced LSTM/GRU models, risk prediction).Generative AI (LLMs, RAG, LangChain, Hugging Face Transformers, OpenAI APIs).Proficiency in Python (NumPy, Pandas, Scikit-learn, Statsmodels, TensorFlow, PyTorch).Hands-on experience with MLOps tools (MLflow, Kubeflow, SageMaker, Vertex AI).Strong knowledge of CI/CD workflows (GitHub Actions, GitLab CI, Jenkins, Azure DevOps).Experience with cloud platforms (AWS, Azure, GCP) for ML deployment and scaling.Strong understanding of Docker, Kubernetes, and production deployment.Excellent communication and presentation skills to face customers confidently.Proven ability to translate customer requirements into POCs and production solutions..Preferred/Bonus SkillsExperience with GPUs, CUDA, and high-performance model training.Familiarity with real-time inference frameworks (TensorRT, Triton, TorchServe, FastAPI).Knowledge of feature stores (Feast, Tecton) and monitoring tools (Evidently, WhyLabs, Prometheus, Grafana).Exposure to financial services, supply chain, or enterprise AI domains.Track record of winning client trust through successful POCs and solution delivery.Contributions to open-source ML/AI projects. Job Description: Data Scientist (MLOps, CI/CD, Generative AI)Experience : 4 to 6 YearsLocation: Isb / HybridAbout the Role Job Description: Data Scientist (MLOps, CI/CD, Generative AI)Experience : 4 to 6 YearsLocation: Isb / Hybrid We are seeking a Full Stack Data Scientist with strong expertise in MLOps, CI/CD, and Generative AI to join our growing AI/ML team. This role is highly dynamic and requires a balance of technical excellence, customer-facing skills, and business acumen. You will be responsible for the end-to-end machine learning lifecyclefrom data exploration and model development to deployment and optimization. A key part of the role is engaging with customers, understanding their business challenges, and delivering impactful Proof of Concepts (POCs) that build trust and demonstrate value.

Data Scientist at Datamatics Technologies Read Post »

📊 Data Science & AI

Executive Retail Sales – Office Furniture at Interwood Mobel (Pvt) Ltd.

/ / 📊 Data Science & AI

Executive Retail Sales – Office Furniture

🏢 Company:
Interwood Mobel (Pvt) Ltd.
📍 Location:
Islamabad, Islāmābād, Pakistan
💼 Job Type:
On-site
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

TheExecutive Retail Sales – Office Furniturerole at Interwood Mobel is crucial for driving sales within our office furniture segment while providing customers with an exceptional shopping experience. In this position, you will engage with businesses and individual customers to understand their office needs and recommend suitable products to optimize their workspace.Key Responsibilities:Actively engage with customers in the office furniture showroom, guiding them through product selection and customization optionsMeet and exceed sales targets by leveraging knowledge of office ergonomics, trends, and products to encourage informed purchasing decisionsPrepare sales quotes and manage customer orders, ensuring accuracy and timely fulfillment of deliveriesConduct follow-ups with clients post-purchase to ensure satisfaction and nurture long-term relationshipsMaintain a clean and organized showroom display that showcases our office furniture range and meets corporate standardsCollaborate with team members to create sales strategies and promotional initiatives to boost store performanceStaying informed about industry trends and new product offerings to provide clients with the most relevant solutionsRequirementsBachelor’s degree in Business, Design, or a related field preferred2-3 years of experience in retail sales, particularly in office furniture or related industriesExcellent communication skills with a strong ability to connect with business clients and understand their needsProven ability to achieve sales targets and close deals effectivelyKnowledge of office furniture design, ergonomics, and space planning is an advantageProficient in sales software and Microsoft Office Suite, with strong organizational skillsBenefitsMedical InsuranceProvident FundCommissions/IncentivesPaid Leaves Executive Retail Sales – Office Furniture

Executive Retail Sales – Office Furniture at Interwood Mobel (Pvt) Ltd. Read Post »

📊 Data Science & AI

MTO (Management Trainee Officer) – SAP Analytics at DataGraders

/ / 📊 Data Science & AI

MTO (Management Trainee Officer) – SAP Analytics

🏢 Company:
DataGraders
📍 Location:
Lahore, Punjab, Pakistan
💼 Job Type:
On-site
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

MTO SAP Analytics (Onsite Lahore)Are you afresh graduateor looking toswitch your career into SAP Analytics? Heres your chance to start strong!We are seekingmotivated and enthusiastic individualsfor theManagement Trainee Officer (MTO) SAP Analyticsrole at ourLahore office. Requirements:Basic understanding ofSQL, data modeling, and databasesStronglogical thinkingandcommunication skillsMust be able tocommute daily to DHA Phase 6 Raya, Lahore Job Details:Location:DHA Phase 6 Raya, LahoreJob Type:OnsiteSalary:PKR50,000 per monthExperience Level:Freshers onlyApply Now:Send your CV tocontactdatagraders.comImportant:This position is strictly forfreshers living in Lahore. Applications from outside Lahore willnot be considered. Are you afresh graduateor looking toswitch your career into SAP Analytics? Heres your chance to start strong! fresh graduate switch your career into SAP Analytics We are seekingmotivated and enthusiastic individualsfor theManagement Trainee Officer (MTO) SAP Analyticsrole at ourLahore office.

MTO (Management Trainee Officer) – SAP Analytics at DataGraders Read Post »

📊 Data Science & AI

Data Scientist, Tech at ibex

/ / 📊 Data Science & AI

Data Scientist, Tech

🏢 Company:
ibex
📍 Location:
Lahore, Punjab, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

We are looking for a proactive and analyticalData Scientistto join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).ResponsibilitiesCollect, clean, and organize structured and unstructured data from diverse sources.Ensure data accuracy, consistency, and readiness for analysis.Perform thorough EDA to understand data distributions, relationships, and anomalies.Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.Work closely with business teams to identify trends and patterns that guide decisions.Handle missing data, outliers, and normalization techniques effectively.Transform raw data into features suitable for modeling and insights.Automate and optimize data preparation pipelines.Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.Analyze and process unstructured text data for business use cases.Translate complex data problems into clear, actionable insights.Proactively identify opportunities for data-driven improvements across departments.Conduct root cause analysis and support hypothesis-driven investigations.Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.Exhibit a high level of accountability, ownership, and willingness to support teammates.QualificationsBachelors or Masters degree in Data Science, Computer Science, Statistics, or a related field.23 years of experience in a data science role.Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDBHands-on experience with NLP frameworks such as NLTK, or Hugging Face.Solid understanding of machine learning algorithms and data modeling techniques.Strong data visualization and storytelling skills.Excellent problem-solving and critical thinking abilities.Strong communication skills and a collaborative mindset. Data Scientist

Data Scientist, Tech at ibex Read Post »

📊 Data Science & AI

Operations Manager (Retail & Manufacturing) at DigiHyre

/ / 📊 Data Science & AI

Operations Manager (Retail & Manufacturing)

🏢 Company:
DigiHyre
📍 Location:
Lahore, Punjab, Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

Location:DHA Phase 5 – LahoreTimings:9 AM to 5 PM (Monday to Friday)Industry:Flour / Food ManufacturingExperience Required:5 Years (Manufacturing Industry Wheat, Rice, or Food Industry preferred)If you do NOT have experience managing operations in a Manufacturing/Food-related industry (Wheat, Rice, FMCG, Flour Mills, etc.), please do NOT apply.Key ResponsibilitiesLead and manage end-to-end operations of the mill, ensuring optimal production efficiency.Coordinate with Production, Supply Chain, Logistics, Accounts, Procurement, and Quality Control teams.Monitor daily production activities and ensure achievement of operational KPIs.Oversee inventory management, raw material planning, dispatches, and logistics flow.Ensure compliance with safety, hygiene, and food quality standards.Identify process gaps and implement improvements for cost control and operational efficiency.Prepare daily/weekly operational reports for senior management.Handle workforce management, shift planning, and performance monitoring.Resolve operational issues proactively to avoid downtime or delays.RequirementsMinimum 5 years of experience in a Manufacturing Industry (preferably Wheat, Rice, Flour Mill, Food Industry or FMCG).Proven experience in managing cross-department operations.Strong knowledge of production processes, supply chain, logistics, and inventory systems.Excellent communication, leadership, and problem-solving skills.Ability to manage high-pressure situations and meet tight deadlines.Strong analytical and reporting skills. Location: Timings: Industry: Experience Required:

Operations Manager (Retail & Manufacturing) at DigiHyre Read Post »

📊 Data Science & AI

BD & Partnerships Manager ChainGPT Launchpad – Asia at ChainGPT

/ / 📊 Data Science & AI

BD & Partnerships Manager ChainGPT Launchpad – Asia

🏢 Company:
ChainGPT
📍 Location:
Pakistan
💼 Job Type:
Full-time
⏱️ Employment:
Full-time

💰 Compensation

Not specified

📋 Job Description

BD Partnerships Manager – ChainGPT LaunchpadLocation:Remote (Asia) – (Global Application Allowed, choose the region closest to you to apply)Position:BD Partnerships Manager – ChainGPT LaunchpadCompany:ChainGPTPosition Type:Full-TimeAbout ChainGPTChainGPT is a dynamic blockchain and AI company that prioritizes innovation, transparency, and meaningful impact. Our culture empowers exceptional, self-driven individuals to act decisively, leverage advanced AI tools, and consistently deliver value-driven outcomes. We foster an open, collaborative environment where creative thinking thrives, enabling every team member to take ownership and contribute meaningfully to our ambitious future.About The RoleWe’re expanding the ChainGPT ecosystem and we’re looking for a high-performing Business Development Partnerships Specialist to drive growth for our Launchpad platforms: ChainGPT Pad and DegenPad.This role is ideal for someone deeply embedded in the Web3 and venture landscape, with proven experience in deal sourcing, partnership management, and project evaluation. You’ll work closely with our internal teams to identify, evaluate, and onboard top-tier blockchain projects (Tier-1 IDOs) to the ChainGPT Launchpad ecosystem.If you have a sharp eye for early-stage opportunities, understand tokenomics and fundraising mechanics, and can confidently lead a deal from first contact to post-launch success we want to meet you.ResponsibilitiesDeal Sourcing Partnerships: Identify and build relationships with high-quality Web3 startups, venture funds, and emerging ecosystems to bring top blockchain projects to the Launchpad platform.Project Evaluation: Conduct comprehensive due diligence, tokenomics reviews, and project scoring across multiple dimensions (e.g., team, tech, market, narrative)Deal Structuring: Support the negotiation and structuring of partnership or IDO agreements, ensuring alignment between ChainGPT and project goalsPipeline Management: Maintain an active, well-documented deal flow from first outreach to successful IDO completion using CRM and internal coordination toolsCross-Team Collaboration: Work with the marketing, legal, operations, and tech teams to ensure each project’s readiness for launch (documentation, audits, compliance, and campaign prep)Ecosystem Growth: Represent ChainGPT Pad and DegenPad at industry events, online communities, and venture networks to strengthen brand visibility and attract top projectsRequirements2 years of experience in Business Development, Partnerships, and Deal Sourcing within Web3 Venture Capital, or LaunchpadsProven track record in supporting Web3 token launches, partnership initiatives, and managing strategic partnershipsStrong understanding of tokenomics, FDV, project valuation frameworks, and Web3 partnership structuresDeep knowledge of Web3 ecosystems, Layer-1s/L2s, DeFi, AI, GameFi, and community dynamicsExcellent communication and negotiation skills, both written and verbal (English required)Self-starter mindset with the ability to operate independently in a fast-paced environmentPreferred QualificationsExisting network among VCs, launchpads, and high-tier projectsExperience in project due diligence, investment analysis, or fundraising advisoryPrevious experience at a Launchpad, Accelerator, or Web3 Venture FundBenefitsWhat We OfferWork alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystemRemote-first setup with flexible hours, focused on outcomes, trust, and ownershipCompetitive compensation, with performance-based upside where applicable to the roleFast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagementThe support to do your best work, including the tools you need, structured onboarding, and clear room to growCompany Culture And ValuesAt ChainGPT, we value Trust, Effective Speed, Innovation, and Growth. As our BD Partnerships Manager for ChainGPT Pad, you will embody these core values and have the opportunity to contribute to our culture and help drive our success. Join us on this exciting journey as we shape the future of blockchain and crypto technology.Additional Information:Employment Compliance and Confidentiality:All employees will be onboarded through our official payroll and HR provider, which manages employment documentation, tax withholdings, and compliance with legal requirements based on the employee’s country of residence. As part of the onboarding process, each new hire is required to complete a Know Your Customer (KYC) verification, sign a Non-Disclosure Agreement (NDA), execute an employment contract, and fulfill any additional legal requirements specific to you jurisdiction. This process ensures compliance, protects company information, and establishes a secure and professional employment relationshipEmployment Structure:The position is offered on either an employee or contractor basis, depending on the location and

BD & Partnerships Manager ChainGPT Launchpad – Asia at ChainGPT Read Post »

Scroll to Top