software developer

data analyst

ai developer

ai/ml engineer

business analyst

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

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

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

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

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

TMG Ventures

Data AnalystMiniso &ndash; LahoreCore Competencies and Experience<ul><li>Expert in Microsoft Excel: Advanced proficiency in Excel, including pivot tables, VLOOKUP/XLOOKUP, Power Query, macros, and dynamic dashboards for efficient data management and reporting.</li><li>Data Integrity &amp; Quality Control: Ensure data accuracy, consistency, and reliability throughout its lifecycle, supporting sound, data-driven decision-making processes.</li><li>Inventory Analysis: Experienced in monitoring stock levels, identifying slow-moving items, and optimizing inventory turnover to reduce holding costs and avoid stockouts.</li><li>Sales Analysis: Skilled in analyzing sales data to identify trends, patterns, and growth opportunities, contributing to strategic planning and performance improvement.</li><li>Stock Ordering: Proficient in forecasting demand and planning stock replenishment cycles to maintain optimal inventory levels across multiple store locations.</li><li>Promotion Effectiveness Analysis: Evaluate the impact of promotional campaigns on sales and inventory, providing actionable insights to refine future marketing strategies.</li><li>Deep Data Analysis with Retail Experience: Strong background in retail data analysis, leveraging large datasets to drive business insights, support merchandising decisions, and enhance operational efficiency.</li><li>Experience: 1 To 2 Years.</li></ul>Job Type: Full-timePay: Rs50,000.00 - Rs70,000.00 per monthWork Location: In person

Data Analyst

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Explore 743+ Data scientist in Lahore this October. Find roles across top companies and apply now to boost your career.

743 data scientist jobs IN Lahore

DATA SCIENTIST

Senior Data Scientist

Data Scientist, Tech

Senior Data Scientist

Senior Data Analyst - BI Experience is MUST

Data Analyst

Data Engineer, Tech