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head of artificial intelligence, data science, & machine learning Jobs in Pakistan

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Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
qqORkdRfmR</div>

Expert Data Scientist

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
CsmDBwnQ2M</div>

Datamatics Technologies

<div>
 Job Description
 
 
 Job Title:
 
 Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning)
 
 
 Project:
 
 &nbsp;Demand Planning ML Models Initiative
 
 
 Role Level:
 
 Expert / Principal (Hands-on, Delivery-Focused)
 
 
 Employment Type:
 
 Full-Time
 
 
 Experience:
 
 &nbsp; 7+ Years
 
 
 Job Location:
 
 Remote
 
 
 Job Timing:
 
 Vietnam Time Zone
 
 Role Overview
 
 We are seeking an
 
 Expert Data Scientist
 
 with deep hands-on experience in
 
 machine learning&ndash;based demand forecasting
 
 to support the
 
 ANZ Demand Planning ML Models initiative
 
 .
 
 
 This role requires a senior practitioner capable of
 
 independently designing, developing, and delivering enterprise-grade demand forecasting models
 
 . The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.
 
 
 Key ResponsibilitiesDemand Planning &amp; Forecasting (Core Focus)
 <ul>
 <li>
 
 Lead the
 
 design, development, and optimization of ML-based demand forecasting models
 
 .
 
 </li>
 <li>
 
 Work extensively with
 
 time-series datasets related to sales, demand, and supply planning
 
 .
 
 </li>
 <li>
 
 Apply and optimize
 
 statistical forecasting techniques and machine learning algorithms
 
 .
 
 </li>
 <li>
 
 Perform
 
 advanced feature engineering
 
 incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.
 
 </li>
 <li>
 
 Conduct
 
 back-testing, validation, and scenario analysis
 
 to continuously improve forecast accuracy.
 
 
 </li>
 </ul>
 Data Science Leadership &amp; Delivery
 <ul>
 <li>
 
 Own the
 
 end-to-end data science lifecycle
 
 , from data exploration and model development to deployment support.
 
 </li>
 <li>
 
 Define, monitor, and optimize forecasting KPIs including
 
 MAPE, RMSE, and MAE
 
 .
 
 </li>
 <li>
 
 Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.
 
 </li>
 <li>
 
 Clearly communicate
 
 model logic, assumptions, and insights
 
 to business and executive stakeholders.
 
 
 </li>
 </ul>
 Collaboration &amp; Execution
 <ul>
 <li>
 
 Collaborate closely with
 
 Data Engineers, Analytics teams, and business stakeholders
 
 to operationalize forecasting models.
 
 </li>
 <li>
 
 Support
 
 production deployment, monitoring, and model performance improvements
 
 .
 
 </li>
 <li>
 
 Drive
 
 knowledge sharing and best practices
 
 in forecasting and machine learning across teams.
 
 
 </li>
 </ul>
 Required Experience
 <ul>
 <li>
 
 
 7+ years
 
 of experience in
 
 Data Science / Machine Learning
 
 .
 
 </li>
 <li>
 
 
 5+ years of hands-on experience in demand forecasting or demand planning using machine learning
 
 .
 
 </li>
 <li>
 
 Proven experience delivering
 
 production-grade or business-critical forecasting models
 
 .
 
 </li>
 <li>
 
 Strong experience working with
 
 enterprise-scale time-series datasets
 
 .
 
 
 </li>
 </ul>
 Technical Skills
 <ul>
 <li>
 
 Advanced
 
 Python for Data Science and Machine Learning
 
 .
 
 </li>
 <li>
 
 Strong expertise in
 
 time-series forecasting techniques
 
 (statistical and ML-based).
 
 </li>
 <li>
 
 Experience with machine learning models such as
 
 regression, tree-based models, and ensemble methods
 
 .
 
 </li>
 <li>
 
 Advanced
 
 feature engineering for demand and planning datasets
 
 .
 
 </li>
 <li>
 
 Strong
 
 SQL and data manipulation
 
 capabilities.
 
 </li>
 <li>
 
 Experience with
 
 forecast evaluation metrics (MAPE, RMSE, MAE)
 
 .
 
 
 </li>
 </ul>
 Soft Skills
 <ul>
 <li>
 
 Strong
 
 ownership and accountability mindset
 
 .
 
 </li>
 <li>
 
 Excellent
 
 analytical and problem-solving capabilities
 
 .
 
 </li>
 <li>
 
 Ability to
 
 communicate complex technical concepts to non-technical stakeholders
 
 .
 
 </li>
 <li>
 
 Comfortable working in
 
 fast-paced environments with tight delivery timelines
 
 .
 
 </li>
 </ul>
</div>

<div><h1 class="jobSectionHeader">Job Description</h1>
Job Title: Expert Data Scientist &ndash; Demand Planning &amp; Forecasting (Machine Learning) 
Project: Demand Planning ML Models Initiative 
Role Level: Expert / Principal (Hands-on, Delivery-Focused) 
Employment Type: Full-Time 
Experience: 7+ Years 
Job Location: Remote 
Job Timing: Vietnam Time Zone<h2 class="jobSectionHeader">
Role Overview</h2>
We are seeking an Expert Data Scientist with deep hands-on experience in machine learning&ndash;based demand forecasting to support the ANZ Demand Planning ML Models initiative.
This role requires a senior practitioner capable of independently designing, developing, and delivering enterprise-grade demand forecasting models. The ideal candidate will own forecasting solutions end-to-end and help improve business decision-making through highly accurate predictive models.<h1 class="jobSectionHeader"> 
Key Responsibilities</h1><h2 class="jobSectionHeader">
Demand Planning &amp; Forecasting (Core Focus)</h2><ul><li>
Lead the design, development, and optimization of ML-based demand forecasting models.</li><li>
Work extensively with time-series datasets related to sales, demand, and supply planning.</li><li>
Apply and optimize statistical forecasting techniques and machine learning algorithms.</li><li>
Perform advanced feature engineering incorporating seasonality, trends, promotions, pricing, holidays, and external drivers.</li><li>
Conduct back-testing, validation, and scenario analysis to continuously improve forecast accuracy.</li></ul><h2 class="jobSectionHeader"> 
Data Science Leadership &amp; Delivery</h2><ul><li>
Own the end-to-end data science lifecycle, from data exploration and model development to deployment support.</li><li>
Define, monitor, and optimize forecasting KPIs including MAPE, RMSE, and MAE.</li><li>
Review, validate, and refine forecasting methodologies to ensure accuracy and scalability.</li><li>
Clearly communicate model logic, assumptions, and insights to business and executive stakeholders.</li></ul><h2 class="jobSectionHeader"> 
Collaboration &amp; Execution</h2><ul><li>
Collaborate closely with Data Engineers, Analytics teams, and business stakeholders to operationalize forecasting models.</li><li>
Support production deployment, monitoring, and model performance improvements.</li><li>
Drive knowledge sharing and best practices in forecasting and machine learning across teams.</li></ul><h1 class="jobSectionHeader"> 
Required Experience</h1><ul><li>
7+ years of experience in Data Science / Machine Learning.</li><li>
5+ years of hands-on experience in demand forecasting or demand planning using machine learning.</li><li>
Proven experience delivering production-grade or business-critical forecasting models.</li><li>
Strong experience working with enterprise-scale time-series datasets.</li></ul><h1 class="jobSectionHeader"> 
Technical Skills</h1><ul><li>
Advanced Python for Data Science and Machine Learning.</li><li>
Strong expertise in time-series forecasting techniques (statistical and ML-based).</li><li>
Experience with machine learning models such as regression, tree-based models, and ensemble methods.</li><li>
Advanced feature engineering for demand and planning datasets.</li><li>
Strong SQL and data manipulation capabilities.</li><li>
Experience with forecast evaluation metrics (MAPE, RMSE, MAE).</li></ul><h1 class="jobSectionHeader"> 
Soft Skills</h1><ul><li>
Strong ownership and accountability mindset.</li><li>
Excellent analytical and problem-solving capabilities.</li><li>
Ability to communicate complex technical concepts to non-technical stakeholders.</li><li>
Comfortable working in fast-paced environments with tight delivery timelines.</li></ul>
OLlD82d2j5</div>

WADIC

<div>
 
 Job Title:
 
 Senior Data Scientist &ndash; ELK Stack &amp; Analytics
 
 
 
 Location:
 
 College Road, Lahore
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Working Hours:
 
 9:00 PM &ndash; 6:00 AM PKT
 
 
 
 Department:
 
 Data &amp; Analytics
 
 
 
 Reports To:
 
 Data Analytics Manager
 
 Job 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.
</div>

Data Analyst/ Data Scientist

Sofnix(SMC-Private) Limited

JOB SUMMARYAssociate Engineer Machine Learning will help in discovering the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. Must be able to extract features, select features, code, train model, validate and evaluate the models.MAIN TASKS AND RESPONSIBILITIES&middot; Selecting features, building and optimizing classifiers using machine learning techniques&middot; Data mining or extracting usable data from valuable data sources.&middot; Carrying out preprocessing of structured and unstructured data&middot; Enhancing data collection procedures to include all relevant information for developing analytic systems&middot; Processing, cleansing, and validating the integrity of data to be used for analysis.&middot; Analyzing large amounts of information to find patterns and solutions.&middot; Developing prediction systems and machine learning algorithms&middot; Propose solutions and strategies to tackle business challenges.&middot; Data mining using state-of-the-art methods.&middot; Doing ad-hoc analysis and presenting results in a clear manner&middot; Creating automated anomaly detection systems and constant tracking of its performanceMINIMUM QUALIFICATIONS&middot; 2+ years of Python development experience&middot; 2+ years of SQL experience (No-SQL experience is a plus)&middot; Proven Experience as Data Analyst or Data Scientist&middot; Must have knowledge of NLP modelling techniques, with a firm grasp of the mechanics of modelling methods&middot; Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.&middot; Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.&middot; Data Wrangling &ndash; proficiency in handling imperfections in data&middot; Excellent Communication Skills&middot; Strong Software Engineering Background&middot; Hands-on experience with data science tools&middot; Problem-solving aptitude&middot; Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.&middot; Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc&middot; Degree in Computer Science, Data Science or relevant field is preferred.Work Location: In person

Engineer Machine

Pixalate, Inc.

<div><h1 class="jobSectionHeader">Applied AI Scientist</h1>
Employment Type: Full-Time 
Location: Remote, Pakistan 
Level: Mid to Senior (PhD Required)<h2 class="jobSectionHeader">
About the Role</h2>
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></ul><ul><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.<h1 class="jobSectionHeader">
Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.</h1>
XQZue0wI6K</div>

Applied AI Scientist (PhD Required)

Explore 1973+ Expert data scientist in Pakistan this March. Find roles across top companies and apply now to boost your career.

1973 expert data scientist jobs In Pakistan

Expert Data Scientist

Expert Data Scientist

Expert Data Scientist

Expert Data Scientist

Data Analyst/ Data Scientist

Engineer Machine

Applied AI Scientist (PhD Required)