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data scientist / developer Jobs in Lahore Pakistan

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senior data engineer Jobs in Lahore Pakistan

senior data engineer

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data scientist

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
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 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).
 </li>
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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.
 </li>
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 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
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 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
 
 
</div>

Data Scientist

BM Global

Job Title: Data Science Engineer (AI/ML Expertise)Location: On-site ( Eithad town, raiwand road Lahore)Job Type: ContractualExperience: 3+ yearsSalary: 120k - 250kTimings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team.The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems.You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>Job Type: Full-timePay: Rs120,000.00 - Rs250,000.00 per monthWork Location: On the road

DATA SCIENTIST

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>
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 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
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 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
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 Strong data visualization and storytelling skills.
 </li>
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 Excellent problem-solving and critical thinking abilities.
 </li>
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 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

DevConsole

Job Title: Data Science Engineer (AI/ML Expertise) Company name: DevConsole Location: On-site ( Eithad town, Raiwand road Lahore)Job Type: Contractual Experience: 3+ years Salary: 120k - 250k Timings: 9:00 pm - 4:00 am&#11835;Job Overview:We are seeking a highly skilled Data Science Engineer with strong expertise in Artificial Intelligence (AI) and Machine Learning (ML) to join our fast-paced, innovation-driven engineering team. The ideal candidate will be responsible for designing, developing, and deploying scalable machine learning solutions, building intelligent data pipelines, and integrating AI-driven insights into production systems. You will work closely with cross-functional teams &mdash; including data engineers, product managers, and software developers &mdash; to transform raw data into actionable intelligence and production-ready ML models.&#11835;Key Responsibilities:<ul><li>Design and implement end-to-end machine learning and deep learning models for predictive analytics, NLP, and computer vision use cases.</li><li>Build and optimize data pipelines and ETL workflows for efficient model training and inference.</li><li>Develop and maintain AI/ML microservices using Python (FastAPI, Flask, or Django) and integrate them into enterprise systems.</li><li>Perform exploratory data analysis (EDA), feature engineering, and statistical modeling to extract business insights.</li><li>Research, experiment with, and apply cutting-edge AI techniques (transformers, LLMs, reinforcement learning, etc.).</li><li>Deploy, monitor, and scale ML models in production environments using MLOps tools and cloud platforms (AWS, Azure, or GCP).</li><li>Collaborate with data engineers to ensure data quality, governance, and real-time accessibility.</li><li>Use version control, CI/CD, and containerization tools (Git, Docker, Kubernetes) to streamline model deployment.</li><li>Continuously evaluate model performance and retrain pipelines to ensure accuracy and reliability.</li><li>Present data-driven insights and AI strategies to both technical and non-technical stakeholders.</li></ul>&#11835;Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>3+ years of hands-on experience in data science, AI, and machine learning engineering.</li><li>Strong programming skills in Python and proficiency with ML frameworks: TensorFlow, PyTorch, Scikit-learn, Keras.</li><li>Deep understanding of machine learning algorithms, deep learning architectures (CNN, RNN, LSTM, Transformers), and NLP techniques.</li><li>Experience with data manipulation tools: Pandas, NumPy, Dask, Spark, or Hadoop.</li><li>Solid knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cassandra, Redis).</li><li>Proven experience in deploying ML models to production using APIs or containerized solutions.</li><li>Familiarity with cloud and DevOps tools: AWS (S3, SageMaker, Lambda, EC2), Azure ML, or GCP AI Platform.</li><li>Strong background in data visualization (Matplotlib, Seaborn, Power BI, or Tableau).</li><li>Excellent problem-solving, analytical, and communication skills.</li></ul>&#11835;Preferred Qualifications:<ul><li>Experience building AI-driven systems in healthcare, fintech, or SaaS environments.</li><li>Exposure to big data streaming (Kafka, Flink) and real-time ML inference.</li><li>Understanding of MLOps practices &mdash; model versioning, monitoring, and retraining pipelines.</li><li>Contributions to open-source AI/ML projects or research publications.</li><li>Familiarity with LLMs, generative AI, and prompt engineering.</li></ul>&#11835;What We Offer:<ul><li>Competitive salary and performance-based incentives.</li><li>Exposure to large-scale AI-driven projects with measurable business impact.</li><li>Professional growth opportunities with access to state-of-the-art ML infrastructure.</li><li>Collaborative team culture with mentorship and innovation at its core.</li></ul>If you are intrested kindly share your resume with subject Data Scientist at hr@dev-console.comJob Type: Contract Contract length: 3 monthsPay: Rs120,000.00 - Rs300,000.00 per monthWork Location: In personExpected Start Date: 13/10/2025

Senior Data Scientist

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 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>

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 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>

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

Explore 660+ Data scientist in Lahore Pakistan this November. Find roles across top companies and apply now to boost your career.

660 data scientist jobs IN Lahore Pakistan

Data Scientist

DATA SCIENTIST

Data Scientist, Tech

Senior Data Scientist

Data Scientist / Developer

Data Scientist / Developer

Senior Data Analyst - BI Experience is MUST