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data entry operator Jobs in Lahore Pakistan

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applied ai scientist (phd required) Jobs in Lahore Pakistan

applied ai scientist (phd required)

data scientist

Pixalate

<div>
 Applied AI Scientist
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location
 
 : Remote, Pakistan
 
 
 
 Level:
 
 Mid to Senior (PhD Required)
 
 
 
 About The Role
 
 
 
 We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
 
 
 This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues
 </li>
 <li>
 Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams
 </li>
 <li>
 Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time
 </li>
 <li>
 Partner with engineering and product teams to ensure data quality and integrity across product pipelines
 </li>
 <li>
 Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements
 </li>
 <li>
 Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 Must-Have
 
 
 <ul>
 <li>
 PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field
 </li>
 <li>
 3&ndash;6 years of experience in a data science, ML, or data analytics role
 </li>
 <li>
 Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong
 </li>
 <li>
 Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)
 </li>
 <li>
 Proficiency in Python and SQL
 </li>
 <li>
 Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous
 </li>
 <li>
 Clear written and verbal communication skills
 
 
 </li>
 </ul>
 Nice-to-Have
 
 
 <ul>
 <li>
 Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems
 </li>
 <li>
 Exposure to multi-agent orchestration patterns
 </li>
 <li>
 Comfort working in fast-moving environments with evolving product requirements
 
 
 </li>
 </ul>
 We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety.
 
 
 Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide.
 
 
 Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:
 
 
 <ul>
 <li>
 Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says
 </li>
 <li>
 Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV
 </li>
 <li>
 Washington Post: Your kids&rsquo; apps are spying on them
 </li>
 <li>
 Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire
 </li>
 <li>
 ABC7 News: The State of Children's Privacy Online
 </li>
 <li>
 NBC News: How many apps are tracking your children
 
 
 </li>
 </ul>
 Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.
 
 
 
 Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.
 
</div>

Applied AI Scientist (PhD Required)

Brand786 LTD

We are looking for a Data Analyst / Analytics Engineer to design and manage a modern data infrastructure that centralizes business data and delivers actionable insights across sales, marketing, and operations.Key Responsibilities<ul><li>Design and manage cloud-based data architecture</li><li>Build and maintain ETL/ELT data pipelines</li><li>Integrate data from CRM, marketing, website analytics, and operational systems</li><li>Develop interactive dashboards and reporting systems</li><li>Deliver weekly, monthly, and quarterly business reports</li><li>Analyze data to identify trends, insights, and performance improvements</li><li>Implement data governance, quality checks, and security standards</li><li>Collaborate with department heads to translate business needs into data insights</li></ul>Required Skills<ul><li>Advanced SQL</li><li>Experience with Python or R</li><li>Strong knowledge of data pipelines and ETL processes</li><li>Experience with BI tools (Power BI, Tableau, Looker, etc.)</li><li>Strong understanding of data modelling and analytics</li></ul>Preferred Skills<ul><li>Experience with Google Cloud or Microsoft Azure</li><li>Experience building data infrastructure from scratch</li><li>Knowledge of sales, marketing, and operational analytics</li></ul>Job Type: Full-timeLanguage:<ul><li>English (Required)</li></ul>Work Location: In person

Data Analyst

Techbridge Consultancy Services

We are looking for a motivated Data Engineer with 3+ years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>3+ years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Work Location: In person

Data Engineer

NorthBay Solutions

<div>
 &nbsp;
 
 
 
 
 
 
 
 Job Title:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineer (Snowflake)
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 Hybrid - Lahore, Karachi, Islamabad
 
 
 
 
 
 
 
 
 
 
 
 
 
 Experience:
 
 
 
 
 
 
 
 
 
 
 
 
 6-8 years (Minimum 4-6 years of Snowflake experience)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Category:
 
 
 
 
 
 
 
 
 
 
 
 
 Data Engineering
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Database Design &amp; Development:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Utilize Snowflake to design, develop, and optimize data architecture.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Work with PostgreSQL and other databases to manage and manipulate data.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Lead conversion projects from SQL-based platforms to Snowflake.
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Programming &amp; Scripting:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Develop robust applications and scripts using C#, Java, and Python, or other relevant technologies.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Write efficient Snowflake functions and stored procedures using JavaScript.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement big data solutions using Spark and PySpark (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Cloud Integration:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Implement data storage solutions using Amazon S3 (AWS).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate and manage data pipelines using AWS Glue (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize AWS Lambda for serverless computing (Plus).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to cloud data strategies involving GCP (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 <li>
 
 
 
 
 
 
 Additional Database Management:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Work with Aurora and MSSQL for various data management tasks (Plus).
 
 
 
 
 
 
 </li>
 </ul>
 </li>
 </ul>
 
 
 
 
 
 
 Required Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Languages:
 
 
 
 
 
 
 
 
 
 
 
 
 C#, Java, Python, or other relevant technologies
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Snowflake (Design, Develop), PostgreSQL
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 Amazon S3 (AWS)
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Scripting:
 
 
 
 
 
 
 
 
 
 
 
 
 JavaScript (for Snowflake functions and stored procedures)
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Preferred Skills:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Big Data Technologies:
 
 
 
 
 
 
 
 
 
 
 
 
 Spark, PySpark
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Cloud Tools:
 
 
 
 
 
 
 
 
 
 
 
 
 AWS Glue, AWS Lambda, GCP
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Database:
 
 
 
 
 
 
 
 
 
 
 
 
 Aurora, MSSQL
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Conversion:
 
 
 
 
 
 
 
 
 
 
 
 
 SQL to Snowflake code conversion
 
 
 
 
 
 
</div>

Data Engineer(Snow Flake)

ibex

<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

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 About The Team
 
 
 
 Part of Careem NextGen Team, the mission of the program is to train the new Analysts to build Analytical excellence foundations with high standards. You will have access to some of the most exciting projects and advanced tech for accelerated learning and exposure, leveraging modern analysis and visualization tools to solve the region&rsquo;s day to day problems.
 
 
 The Careem Analytics team&rsquo;s mission is to build and track the full lively picture for Careem businesses and experiences, uphold the experience bar, provide actionable insights, formulate problems and contribute to solving them.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured data from various internal and external sources.
 </li>
 <li>
 Build and maintain dashboards and reports to track KPIs and business performance.
 </li>
 <li>
 Work with cross-functional teams (product, engineering, and operations) to understand data needs and deliver actionable insights.
 </li>
 <li>
 Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
 </li>
 <li>
 Support experimentation (A/B testing) and data-driven decision-making.
 </li>
 <li>
 Write SQL queries and use analytical tools to extract, transform, and analyze data efficiently.
 </li>
 <li>
 Leverage AI and automation tools to streamline recurring analytical tasks, improve data workflows, and enhance productivity.
 </li>
 <li>
 Explore opportunities to integrate AI-assisted insights (e.g., anomaly detection, trend forecasting, text summarization) into dashboards and reports.
 </li>
 <li>
 Document data definitions, methodologies, and analysis processes.
 </li>
 <li>
 Ensure data quality, integrity, and accuracy in reporting systems.
 </li>
 <li>
 Present findings clearly through visualizations and storytelling to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Statistics, Economics, or a related field.
 </li>
 <li>
 0&ndash;2 years of experience as a Data Analyst or in a similar analytical role.
 </li>
 <li>
 Strong SQL skills and proficiency in at least one analytical language (Python or R).
 </li>
 <li>
 Strong SQL and Python skills, with experience in analytical libraries (e.g., pandas, NumPy, SciPy).
 </li>
 <li>
 Hands-on experience with BI and visualization tools (e.g., Power BI, Tableau, Looker, or Metabase).
 </li>
 <li>
 Understanding of data modeling, ETL processes, and database concepts.
 </li>
 <li>
 Basic knowledge of statistics and hypothesis testing.
 </li>
 <li>
 Familiarity with AI tools (e.g., ChatGPT, Gemini, Copilot) and an understanding of how to apply them to automate analyses, improve data exploration, and enhance decision-making.
 </li>
 <li>
 Curiosity to experiment with emerging AI capabilities for workflow optimization and insight generation.
 </li>
 <li>
 Strong attention to detail and ability to manage multiple priorities.
 </li>
 <li>
 Excellent communication and presentation skills with the ability to explain insights effectively.
 </li>
 <li>
 Strong attention to detail, analytical curiosity, and a bias for driving measurable impact.
 </li>
 <li>
 Experience with version control (Git) and data warehouses (BigQuery, Redshift, Snowflake) is a plus.
 
 
 </li>
 </ul>
 
 What We&rsquo;ll Provide You
 
 
 
 We offer colleagues the opportunity to drive impact in the region while they learn and grow. As a full time Careem colleague, you will be able to:
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Data Analyst I

Dr. Masood Homoeopathic Pharmaceuticals Pvt. Ltd

Responsibilities:<ul><li>Analyze and manage data to support decision-making.</li><li>Prepare reports and dashboards using Excel.</li><li>Use advanced formulas (XLOOKUP etc.).</li><li>Ensure data accuracy and identify trends.</li><li>Support supply chain operations (inventory, forecasting, planning).</li></ul>Requirements:<ul><li>Bachelor&rsquo;s in Supply Chain or related field.</li><li>Strong command of Excel (advanced formulas required).</li><li>Good analytical and problem-solving skills.</li><li>Attention to detail and ability to meet deadlines.</li><li>Experience in data analysis is a plus.</li></ul>Job Type: Full-timePay: Rs60,000.00 - Rs70,000.00 per monthWork Location: In person

Explore 124+ Data scientist in Lahore Pakistan this April. Find roles across top companies and apply now to boost your career.

124 data scientist jobs In Lahore Pakistan

Applied AI Scientist (PhD Required)

Data Analyst

Data Engineer

Data Engineer(Snow Flake)

Data Engineer, Tech

Data Analyst I

Data Analyst