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business analyst (ai & edtech) Jobs in Lahore

business analyst (ai & edtech)

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data scientist - dubai, uae Jobs in Lahore

data scientist - dubai, uae

data scientist

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

Ghrasa Laboratory

A Data Entry Operator compiles, processes, and maintains digital databases by inputting text and numerical information from source documents. They are responsible for verifying data accuracy, managing filing systems, generating reports, and ensuring strict confidentiality while supporting daily business operations.Core Responsibilities<ul><li>Data Processing: Gather, collate, and enter data from paper documents, PDFs, or digital dictations into company databases or spreadsheets.</li><li>Quality Assurance: Review all input for deficiencies, format discrepancies, or errors before finalizing. Correct mistakes and verify information against original source documents.</li><li>Record Management: Organize, update, and maintain digital archives and physical filing systems for easy retrieval.</li><li>Data Security: Follow established company data integrity, privacy, and security protocols to keep sensitive information confidential.</li><li>Reporting &amp; Administration: Generate and export data reports for management upon request. Perform routine clerical tasks like scanning and backing up files.</li><li>Gathering, collating, and preparing documents, materials, and information for data entry.</li><li>Conducting research to obtain information for incomplete documents and materials.</li><li>Creating digital documents from paper or dictation.</li><li>Reviewing all documents and information for accuracy and informing the supervisor of any errors or inconsistencies.</li><li>Capturing data into digital databases and performing regular backups.</li><li>Updating and maintaining databases, archives, and filing systems.</li><li>Monitoring and reviewing databases and correcting errors or inconsistencies.</li><li>Generating and exporting data reports, spreadsheets, and documents as needed.</li><li>Performing clerical duties such as filing, monitoring office supplies, scanning, and printing as needed.</li></ul>Data Entry Operator Requirements:<ul><li>BCOM &amp; DIPLOMA IN COMPTUER APPLICATIONS.</li><li>1 year experience as a data entry operator or similar.</li><li>Excellent typing abilities.</li><li>Excellent time management and multitasking abilities.</li><li>Proficiency in data capturing and office management software such as MS Office and Google Suite.</li><li>The ability to manage and process high volumes of data accurately.</li><li>Good understanding of databases and digital and paper filing systems.</li><li>Knowledge of administrative and clerical operations.</li><li>Keen eye for detail and the ability to concentrate for extended periods.</li><li>Excellent verbal and written communication skills.</li><li>Computer Skills: Strong familiarity with the Microsoft Office Suite (particularly Excel and Word) and database management software.</li><li>Attention to Detail: Excellent proofreading and organizational skills to perform repetitive tasks with absolute precision.</li><li>Communication: Clear written and verbal communication to collaborate with team members and report data inconsistencies.</li></ul>Work Location: In person

DATA ENTRY OPERATOR

NEST9

Disclaimer: This role requires advanced Excel expertise, applicants focused mainly on Power BI or general data analysis are NOT suitable for this position.The ideal candidate will excel in creating professional templates, designing dashboards, automating tasks with macros, and developing visually appealing graphs and spreadsheets for various business use cases.Key Responsibilities:<ul><li>Template Development, Design, and create professional Excel templates tailored to diverse business needs, ensuring data accuracy and consistency.</li><li>Making automated timelines and Gantt charts with a live calendar.</li><li>Using custom codes to create custom automation and functions.</li><li>Excel Dashboard Design, develop dynamic dashboards and interactive data visualizations to support reporting and decision-making processes.</li><li>Macro and VBA Programming: Automate repetitive tasks using macros and VBA to enhance efficiency and productivity.</li><li>Data Analysis, Perform advanced data analysis utilizing complex formulas, functions, pivot tables, and data validation techniques.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree</li><li>Minimum of 2 years of professional experience working extensively with advanced Microsoft Excel.</li></ul>Technical Skills:<ul><li>Advanced proficiency in Microsoft Excel, including complex formulas, functions, coding, Gantt charts, timelines, live calendars, pivot tables, charts, and data analysis tools.</li><li>Strong experience with dashboard design and data visualization.</li><li>Proficient in macro creation and VBA programming.</li></ul>Experience:<ul><li>Advanced Excel: 2 years (Required)</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Preferred)</li></ul>Application Question(s):<ul><li>Please provide a link to any work samples that showcase your proficiency in advanced Excel functions and tools.</li></ul>Work Location: In person

Advanced Excel Template Developer- (On Site Lahore)

Tera Generation Solution

We are seeking a detail-oriented SAP Inventory Management Executive to manage inventory-related activities within SAP, ensure accurate inventory records, and support system enhancements and modifications. The role involves maintaining inventory data, coordinating with operations teams, and assisting with SAP module updates and improvements.Key ResponsibilitiesSAP Inventory ManagementManage and maintain inventory data within SAP.Configure and support SAP Inventory Management processes.Coordinate with users to identify system requirements and process improvements.Assist in implementing SAP module changes, enhancements, and modifications.Troubleshoot inventory-related issues within SAP and coordinate with technical teams for resolution.Generate inventory, stock movement, and reconciliation reports.Ensure compliance with company inventory control procedures.Data Entry &amp; Inventory Record ManagementEnter new inventory items, product codes, and stock information into SAP.Update inventory records, item master data, and stock quantities.Verify accuracy of data entered into the system.Maintain documentation for inventory transactions.Perform regular inventory reconciliations between physical stock and system records.Support stock audits and inventory counting activities.Ensure timely and accurate processing of inventory transactions.Required QualificationsBachelor's degree in Business Administration, Supply Chain, Information Systems, or related field.Experience working with SAP Inventory Management (MM module preferred).Strong data entry and data management skills.Proficiency in Microsoft Excel and reporting tools.Good understanding of inventory control and warehouse operations.Strong analytical and problem-solving abilities.Preferred SkillsExperience with SAP MM (Materials Management).Knowledge of inventory reconciliation and stock control processes.Ability to coordinate with cross-functional teams.Attention to detail and high level of accuracy.Good communication and organizational skills.Pay: Rs50,000.00 - Rs80,000.00 per monthWork Location: In person

SAP Inventory Management Executive

AutoScale Ventures

<div>Position: Software Developer 
Location: Remote (Pakistan) 
Job Type: Full-time 
Work Schedule: 9:00 AM&ndash;5:00 PM Pacific Standard Time, Monday&ndash;Friday (Overnight shift for Pakistan-based candidates) 
Salary: 400,000 PKR/month
Role Overview
We are seeking a motivated and career-driven Software Developer with at least 3 years of professional experience to join our growing team. 
This role is ideal for a developer with strong experience in both front-end and back-end development, and who enjoys working on real-world, production-grade systems. You will help build and scale customer-facing websites and dashboards, internal tools and systems, as well as data-driven and infrastructure products connected to large-scale crawling, APIs, and infrastructure.
Key Responsibilities<ul><li>
Develop and maintain robust back-end services using Python/Node</li><li>
Build and maintain front-end components using React</li><li>
Integrate with APIs, crawlers, and data ingestion pipelines</li><li>
Optimize front-end and back-end systems for performance, reliability, and maintainability</li><li>
Collaborate with cross-functional teams across time zones</li><li>
Support and improve live production systems with a focus on uptime and data accuracy</li><li>
Participate in code reviews, system design discussions, and feature planning</li><li>
Explore opportunities to integrate AI-driven features and data automation</li></ul>
Requirements<ul><li>
Minimum 3+ years of professional full-stack development experience</li><li>
Strong proficiency in React, including component design, state management, responsive layouts, and performance optimization</li><li>
Good understanding of UI/UX principles, including visual hierarchy, spacing, typography, accessibility, and user-centered design</li><li>
Experience with modern CSS frameworks (Tailwind, Sass, Styled Components, Material UI, Chakra UI, etc.)</li><li>
Back-end development skills using Python (Flask/FastAPI/Django) or Node.js (Express/NestJS) to build APIs, integrations, and support front-end features</li><li>
Strong proficiency in either Python or JavaScript</li><li>
Solid understanding of Linux environments, SQL databases (PostgreSQL/MySQL), and back-end system design</li><li>
Ability to collaborate closely with product managers, designers, and back-end engineers</li><li>
Ability to independently handle end-to-end features (UI, API integration, testing, deployment)</li><li>
Experience contributing to complex or large-scale systems</li><li>
Familiarity with web crawlers, scraping tools, or data ingestion pipelines</li></ul>
Nice to Have (Plus Points)<ul><li>
Hands-on experience with enterprise-level or high-scale crawling systems</li><li>
Interest or prior work in AI/ML-driven solutions</li><li>
Solid foundation in statistics, mathematics, or machine learning</li><li>
Previous experience in startups or fast-paced technology companies</li><li>
Mentorship or leadership experience with junior developers</li><li>
Contributions to open-source or personal technical projects</li></ul>
What You'll Work On (Early Projects May Include)<ul><li>
Building and improving front-end dashboards, websites, and platforms for data-heavy applications</li><li>
Developing systems connected to: Vehicle history &amp; market data (VinAudit.com), large-scale crawling &amp; scraping infrastructure, Data center and residential proxies (SquidProxies.com)</li><li>
Enhancing internal tools for: Data operations, Infrastructure monitoring, Market intelligence</li><li>
Collaborating with engineering and product teams to improve performance, reliability, and scalability</li><li>
Exploring AI/ML-powered features and private model integrations for internal and customer-facing products</li></ul>
Benefits &amp; Perks<ul><li>
Fully Remote Work: Work from anywhere with reliable internet</li><li>
Healthcare Coverage for you and your family</li><li>
Paid Leave &amp; Holidays, with time to rest and recharge</li><li>
Equipment Funds Support to help set up or upgrade your home office</li><li>
Profit Sharing: Monthly and annual bonuses tied to performance</li><li>
Long-Term Career Growth in a stable and growing company</li><li>
Collaborative Culture with a global distributed team</li></ul>
About Us
AutoScale Ventures is a technology-driven company with 50+ team members across the Philippines, Pakistan, India, the U.S., China, and Canada. We operate a group of businesses spanning tech, data services, infrastructure, and AI, with some of our main products and ventures around:<ul><li>
Vehicledata (VinAudit.com)</li><li>
Proxy infrastructure solutions (SquidProxies.com)</li></ul>
Only shortlisted candidates will be contacted. We look forward to meeting the right person for this role!</div>

Software Developer

Blue Star Manufacturing Pvt Ltd

Job Title: Admin Assistant / Data Entry SpecialistJob Type: Onsite (Full-Time / Part-Time)Job Overview: We are seeking a reliable and detail-oriented Admin Assistant / Data Entry Specialist to support our daily operations. The ideal candidate will be responsible for processing customer orders, managing data entry tasks, maintaining accurate records, and providing administrative support to ensure smooth business operations.Key Responsibilities:<ul><li>Process and manage customer orders accurately and efficiently.</li><li>Enter, update, and maintain data in company systems and spreadsheets.</li><li>Verify the accuracy of information and resolve discrepancies.</li><li>Prepare reports and maintain organized records and documentation.</li><li>Monitor order status and coordinate with relevant departments when required.</li><li>Maintain confidentiality of company and customer information.</li><li>Perform other eCommerce administrative duties as assigned.</li></ul>Requirements:<ul><li>Previous experience in data entry, eCommerce, or administrative support.</li><li>Strong attention to detail and accuracy.</li><li>Proficiency in Microsoft Office (Excel, Word) and Google Workspace.</li><li>Excellent organizational and time management skills.</li><li>Strong written and verbal communication skills.</li><li>Ability to work independently and meet deadlines.</li></ul>Preferred Qualifications:<ul><li>Experience with CRM, ERP, or order management systems.</li><li>Familiarity with online marketplaces and e-commerce platforms.</li><li>Basic reporting and spreadsheet analysis skills.</li></ul>What We Offer:<ul><li>Competitive compensation.</li><li>Opportunity for long-term growth and development.</li><li>Supportive and professional team culture.</li></ul>How to Apply: share resumemuhammadirfan@bluestarblue.comPay: Rs60,000.00 - Rs80,000.00 per monthWork Location: In person

Admin Assistant / Data Entry

Confiz

<div>
 We are seeking an experienced Subject Matter Expert (SME) in Business Intelligence to lead project-based BI initiatives. The successful candidate will be responsible for designing and delivering scalable, cloud-based Business Intelligence solutions that enable data-driven decision-making and measurable business impact.
 
 
 This role requires a strong technical foundation in data engineering and BI architecture, combined with the ability to engage business stakeholders, translate analytical requirements into structured user stories and technical designs, and drive end-to-end BI solution delivery.
 
 
 This role requires working in
 
 Europe time zone
 
 .
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and implement a comprehensive Business Intelligence strategy that aligns with our clients&rsquo; business goals and objectives.
 </li>
 <li>
 Lead a team of BI services and delivery , providing guidance and mentorship to ensure the team is meeting expectations and delivering high-quality solutions.
 </li>
 <li>
 Be a subject matter expert in data visualisation for charts, graphs and info-graphics best practices
 </li>
 <li>
 Drive the development of innovative and effective Business Intelligence solutions, leveraging the latest technologies and methodologies.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure that Business Intelligence solutions are integrated with other systems and applications.
 </li>
 <li>
 Establish and maintain strong relationships with clients, understanding their business needs and delivering solutions that meet their expectations.
 </li>
 <li>
 Develop and manage budgets, forecasts, and financial reports related to Business Intelligence initiatives.
 </li>
 <li>
 Monitor and analyze industry trends, technologies, and best practices to identify opportunities for improvement and innovation.
 </li>
 <li>
 Provide regular updates to executive leadership team on the status of Business Intelligence initiatives, including progress, risks, and issues.
 </li>
 <li>
 Foster a culture of continuous improvement, encouraging team members to identify areas for growth and development.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering, or a related technical field (mandatory).
 </li>
 <li>
 Minimum 6+ years of experience in Business Intelligence, Data Engineering, or Analytics solution delivery with a focus on developing and implementing strategies.
 </li>
 <li>
 A robust portfolio of BI dashboards to showcase the ability to design user-centric BI experiences for business users meeting their reporting needs as recurring users.
 </li>
 <li>
 Strong knowledge of data modelling, data warehousing, and data integration concepts.
 </li>
 <li>
 Experience with multiple Business Intelligence tools such as Power BI or other similar technologies.
 </li>
 <li>
 Proven experience working with Microsoft Azure Cloud
 </li>
 <li>
 Experience working with large-scale structured datasets.
 </li>
 <li>
 Hands-on experience with Databricks for data transformation, processing, and performance optimization.
 </li>
 <li>
 Excellent problem-solving and analytical skills.
 </li>
 <li>
 Effective communication and interpersonal skills, with experience presenting to executive leadership teams.
 </li>
 <li>
 Ability to lead and manage cross-functional teams and drive results in a fast-paced environment.
 </li>
 <li>
 Ability to develop and manage budgets, forecasts, and financial reports.
 </li>
 <li>
 Experience with Agile methodologies is a plus.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM),
 
 ISO 14001:2015
 
 (EMS),
 
 ISO 45001:2018
 
 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Business Intelligence Lead

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