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applied ai scientist (phd required) Jobs in Lahore

applied ai scientist (phd required)

data scientist

Jeeny

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief:
 
 
 
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Explore, clean, and analyze high-volume datasets
 </li>
 <li>
 Develop predictive models
 </li>
 <li>
 Build dashboards and automated reports to track marketplace health
 </li>
 <li>
 Work with product and operations teams to define data requirements and design A/B experiments
 </li>
 <li>
 Implement and monitor machine learning models in production with guidance from senior team members
 </li>
 <li>
 Document methodologies, code, and analysis for reproducibility and knowledgesharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 At least 3 years of relevant experience
 </li>
 <li>
 Strong Python (pandas, numpy, scikit-learn etc)
 </li>
 <li>
 Solid understanding of statistics, probability, and hypothesis testing
 </li>
 <li>
 Familiarity with SQL and relational databases
 </li>
 <li>
 Exposure to machine learning concepts and practical modeling projects
 </li>
 <li>
 Excellent problem-solving and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
 </li>
 <li>
 Knowledge of geospatial analysis or real-time data streaming
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

Data Scientist

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
Job Brief: 
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences. 
 
Responsibilities:<ul><li>
Explore, clean, and analyze high-volume datasets.</li><li>
Develop predictive models</li><li>
Build dashboards and automated reports to track marketplace health</li><li>
Work with product and operations teams to define data requirements and design A/B experiments.</li><li>
Implement and monitor machine learning models in production with guidance from senior team members.</li><li>
Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li><li>
At least 3 years of relevant experience.</li><li>
Strong Python (pandas, numpy, scikit-learn etc).</li><li>
Solid understanding of statistics, probability, and hypothesis testing.</li><li>
Familiarity with SQL and relational databases.</li><li>
Exposure to machine learning concepts and practical modeling projects.</li><li>
Excellent problem-solving and communication skills.</li></ul>
Nice to Have<ul><li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li><li>
Knowledge of geospatial analysis or real-time data streaming.</li></ul> 

Benefits 
What we offer:<ul><li>
Market Competitive Salary
 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li><li>
Learn &amp; Grow
 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li><li>
International Exposure
 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li><li>
Health Insurance
 
Full health coverage so you can focus on your goals with peace of mind.</li><li>
OPD Coverage
 
Outpatient visits? We&rsquo;ve got that covered for you.</li><li>
End of Service Benefit
 
Loyalty pays off, long-term service comes with financial rewards.</li><li>
Dollar Adjustment Allowance
 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li><li>
Internet Allowance
 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li><li>
Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li><li>
Learning &amp; Development Allowance
 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 
Company Culture 
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

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

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)

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

AlphaBOLD

<div><div>Lahore, Pakistan (On-site/Hybrid)
</div><div>Posted: April 14, 2026</div></div>
 <div><h2 class="jobSectionHeader">Job Summary</h2>

Alphabold is looking for a skilled Data Engineer with 3&ndash;5 years of experience to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will have strong expertise in data processing, database systems, and cloud platforms, enabling efficient data flow and analytics across the organization.
<h3 class="jobSectionHeader">
Key Responsibilities</h3>
<ul><li>Design, develop, and maintain scalable ETL/ELT data pipelines</li>
<li>Build and optimize data architectures, data lakes, and data warehouses</li>
<li>Ensure data quality, integrity, and reliability across systems</li>
<li>Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions</li>
<li>Develop and manage batch and real-time data processing systems</li>
<li>Monitor and troubleshoot data pipeline performance and failures</li>
<li>Implement data governance, security, and compliance best practices</li>
<li>Automate workflows and improve data engineering processes</li>
</ul><h3 class="jobSectionHeader">Required Skills &amp; Qualifications</h3>
<ul><li>3&ndash;5 years of experience in data engineering or related roles</li>
<li>Strong proficiency in SQL and Python (or Scala/Java)</li>
<li>Hands-on experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)</li>
<li>Experience with big data technologies such as Apache Spark, Hadoop, or Kafka</li>
<li>Solid understanding of data warehousing concepts and modeling (Star/Snowflake schema)</li>
<li>Experience with cloud platforms like AWS, Azure, or Google Cloud</li>
<li>Familiarity with relational and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB)</li>
<li>Experience with version control systems (e.g., Git)</li>
</ul><h3 class="jobSectionHeader">Preferred Qualifications</h3>
<ul><li>Experience with containerization tools like Docker and orchestration tools like Kubernetes</li>
<li>Knowledge of CI/CD pipelines and DevOps practices</li>
<li>Familiarity with data visualization tools (e.g., Power BI, Tableau)</li>
<li>Understanding of streaming data systems and real-time analytics</li>
</ul><h3 class="jobSectionHeader">Soft Skills</h3>
<ul><li>Strong problem-solving and analytical skills</li>
<li>Good communication and collaboration abilities</li>
<li>Ability to work in a fast-paced, agile environment</li>
<li>Attention to detail and commitment to data accuracy</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Information Technology, or a related field</li>
</ul><h3 class="jobSectionHeader">Nice to Have</h3>
<ul><li>Certifications in cloud platforms (AWS, Azure, GCP)</li>
<li>Experience working with large-scale distributed systems</li></ul></div>

Data Engineer

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 Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</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 Modeling Engineer

Explore 531+ Data scientist in Lahore this May. Find roles across top companies and apply now to boost your career.

531 data scientist jobs In Lahore

Data Scientist

Data Scientist

Data Scientist, Tech

Applied AI Scientist (PhD Required)

Senior AI/ML Engineer

Data Engineer

Data Modeling Engineer