full stack developer

software developer

web developer

backend developer

data analyst

data scientist developer

Gigalabs (Pvt) Ltd.

<div>Job Brief: 
Employment Type: Contract Based (Remote) 
Time Zone: EST (04 Hours Overlap within time zone) 
Experience: 5+ Years 
 
Responsibilities:
Data Engineering and Integration 
Design, develop, and maintain data pipelines in Microsoft Fabric Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse 
Ensure data integrity, scalability, and performance optimization.
Analytics &amp; Reporting 
Develop and optimize complex SQL queries to support analytics and reporting.Build and maintain datasets and semantic models for Power BI. 
Design, implement, and modify advanced Power BI visualizations and dashboardsPartner with stakeholders to deliver accurate and actionable insights.
AI &amp; LLM Development 
Develop, fine-tune, and maintain large language models for enterprise use cases.Integrate LLM solutions with data assets in Microsoft Fabric and reporting environments. 
Monitor and retrain models as required to maintain performance.
Requirements:
BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field. 
5+ years of industry experience delivering and scaling machine learning products both in scope and on time. 
Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices. 
Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server 
Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients. 
Critical thinker and good communicator Fluent English (both written and spoken) is required.</div>

Data Scientist / Developer

<div>
 
 Job Brief:
 
 
 
 Employment Type: Contract Based (Remote)
 
 
 Time Zone: EST (04 Hours Overlap within time zone)
 
 
 Experience: 5+ Years
 
 
 
 Responsibilities:
 
 
 
 
 Data Engineering and Integration
 
 
 
 Design, develop, and maintain data pipelines in Microsoft Fabric Ingest, transform, and model data from multiple sources into the data lakehouse/warehouse
 
 
 Ensure data integrity, scalability, and performance optimization.
 
 
 
 Analytics &amp; Reporting
 
 
 
 Develop and optimize complex SQL queries to support analytics and reporting. Build and maintain datasets and semantic models for Power BI.
 
 
 Design, implement, and modify advanced Power BI visualizations and dashboards Partner with stakeholders to deliver accurate and actionable insights.
 
 
 
 AI &amp; LLM Development
 
 
 
 Develop, fine-tune, and maintain large language models for enterprise use cases. Integrate LLM solutions with data assets in Microsoft Fabric and reporting environments.
 
 
 Monitor and retrain models as required to maintain performance.
 
 
 
 Requirements:
 
 
 
 BA or MS in Statistics, Mathematics, Computer Science, or other quantitative field.
 
 
 5+ years of industry experience delivering and scaling machine learning products both in scope and on time.
 
 
 Strong skills in Python and querying languages (e.g. SQL).Experience in production-level coding with broad knowledge of healthy code practices.
 
 
 Tech Stack:, Microsoft Fabric, Power BI, Dax, Python, MS SQL Server
 
 
 Excellent business acumen, with proven ability to understand, analyze and problem solve business goals in detail, developing effective solutions with clients.
 
 
 Critical thinker and good communicator Fluent English (both written and spoken) is required.
</div>

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerJob Overview: We are seeking a Senior Data Scientist with deep expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analysis. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.Key Responsibilities:<ul><li>Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.</li><li>Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Build and maintain Kibana dashboards for real-time visualization and analytics.</li><li>Analyze large-scale datasets to identify trends, anomalies, and actionable insights.</li><li>Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs.</li><li>Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.</li><li>Support development of machine learning models or predictive analytics where applicable.</li><li>Document processes, pipelines, and findings for knowledge sharing and reproducibility.</li><li>Mentor junior team members and contribute to data governance and quality initiatives.</li></ul>Required Qualifications:<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical role.</li><li>Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment.</li><li>Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries.</li><li>Experience in Python or R for data analysis and scripting.</li><li>Strong foundation in data modeling, ETL pipelines, and data warehousing.</li><li>Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.</li></ul>Preferred Skills:<ul><li>Experience with big data technologies (e.g., Apache Spark, Hadoop).</li><li>Familiarity with cloud platforms like AWS, especially their data and log services is preferred</li><li>Knowledge of machine learning, predictive modeling</li><li>Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required</li></ul>Ready to lead cutting-edge analytics and log intelligence? Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This is night time position 9pm to 6am. Are you willing to proceed?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Analyst: 3 years (Preferred)</li></ul>Work Location: In person

Senior Data Analyst - BI Experience is MUST

MTP (Mayfair Technology Partners)

We are seeking a highly motivated and analytical AI/ML Data Scientist to join our data-driven team. In this role, you will be responsible for designing and deploying machine learning models that solve real-world problems and drive strategic decisions. Your insights and algorithms will directly impact our products, services, and customer experience.Key Responsibilities:<ul><li>Build, test, and deploy predictive and classification models using advanced machine learning techniques.</li><li>Analyze structured and unstructured data to extract insights and trends.</li><li>Collaborate with cross-functional teams including data engineers, product managers, and software developers.</li><li>Perform data wrangling, feature engineering, model selection, and hyperparameter tuning.</li><li>Communicate technical results and insights to both technical and non-technical stakeholders.</li><li>Monitor and evaluate model performance, making continuous improvements as needed.</li><li>Contribute to research and experimentation in the field of AI/ML to innovate and solve new challenges.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, Statistics, or a related field.</li><li>4+ years of hands-on experience in data science, machine learning, or AI.</li><li>Proficiency in Python and libraries like pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.</li><li>Strong background in statistics, data modeling, and algorithm development.</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly, Power BI).</li><li>Knowledge of SQL and working with large-scale data systems.</li><li>Solid understanding of supervised and unsupervised learning techniques.</li></ul>Preferred Qualifications:<ul><li>Experience with deep learning, NLP, or computer vision.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML deployment tools.</li><li>Exposure to MLOps practices, version control (Git), and model tracking tools like MLflow or Weights &amp; Biases.</li><li>Excellent communication, collaboration, and problem-solving skills.</li></ul>Onsite Fulltime PositionShifts: 11 AM to 8 PM and 12 PM to 9 PMMonday to FridayIT Tower Gulberg LahoreJob Type: Full-timeWork Location: In personJob Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Senior Data Scientist

Finz.io

Full Stack Developer (React.js + Node.js)We&rsquo;re hiring a Full Stack Developer to build real-time analytics dashboards and reporting tools.Key Responsibilities:<ul><li>Develop interactive dashboards with React.js and Node.js.</li><li>Integrate with third-party APIs to pull and store data in databases.</li><li>Implement filters, search, and reporting features.</li><li>Build real-time dashboards with graphs and visualizations.</li><li>Enable data export to Excel and PDF.</li></ul>Requirements:<ul><li>3+ years of experience in React.js &amp; Node.js.</li><li>Strong skills in API integration, data handling, and database design (SQL/NoSQL).</li><li>Experience with charting/visualization libraries and real-time updates.</li><li>Knowledge of REST APIs, authentication, and best practices.</li><li>TypeScript, Docker, cloud deployment (AWS/Azure).</li></ul>Send your resumes at careers@finz.ioJob Type: Full-timeWork Location: In person

Full Stack Developer (React.js + Node.js)

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to 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).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Axix Technologies

Job Title: AI Software Engineer (Full Stack Developer)Company: Axix Technologies Pvt Ltd Location: Gulberg III, Lahore (Onsite) Job Type: Full-Time Experience: proven 2&ndash;3 years industry experienceRole OverviewWe are looking for a skilled *AI Software Engineer (Full Stack Developer) to design, build, and deploy intelligent, scalable applications. The role involves working across both frontend and backend development, integrating AI/ML solutions, and managing data pipelines for real-time processing. You will collaborate with cross-functional teams to deliver high-performance solutions, ensuring efficiency, innovation, and quality across projects.LANGUAGES &amp; FRAMEWORKS* JavaScript / TypeScript (React, Next.js, Vue)* Python (Django, Flask, FastAPI)* Kafka &amp; Redis for data processing* PostgreSQLSKILLS &amp; EXPERTISE* Frontend + Backend development* REST APIs, GraphQL, Socket.io* UI Libraries (ShadCN, HeroUI, etc.)* Machine Learning &amp; AI Automation* Image Processing, Data PipelinesCLOUD &amp; DEVOPS* AWS, Digital Ocean, Heroku* Docker, Kubernetes* GitLab, CI/CD pipelinesSend your CV: careers@axixtechnologies.com Contact: +92 300 1119405Job Type: Full-timeWork Location: In person

AI Software Engineer (Full Stack Developer)

Explore 1241+ Data scientist developer in Lahore this October. Find roles across top companies and apply now to boost your career.

1241 data scientist developer jobs IN Lahore

Data Scientist / Developer

Data Scientist / Developer

Senior Data Analyst - BI Experience is MUST

Senior Data Scientist

Full Stack Developer (React.js + Node.js)

Data Scientist, Tech

AI Software Engineer (Full Stack Developer)