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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>
CsmDBwnQ2M</div>

Expert Data Scientist

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>

The Content House

This is not a standard actuarial analyst role. This research-based position offers a unique opportunity to step away from routine calculations and dive deep into the theoretical and statistical foundations that drive our industry. You will apply your mathematical and statistical skills to develop new methodologies, analyze emerging trends, and contribute to high-impact research projects.Key Responsibilities:<ul><li>Collaborate with senior researchers to design and test statistical models.</li><li>Analyze complex datasets to identify trends, patterns, and anomalies.</li><li>Conduct literature reviews and summarize technical findings for internal stakeholders.</li><li>Assist in the development of white papers, research articles, and internal reports.</li><li>Present findings and insights to the broader research and product teams.</li><li>Utilize programming languages (such as R or Python) to manipulate data and run simulations.</li></ul>Pay: Rs50,000.00 - Rs65,000.00 per monthWork Location: In person

Actuarial Science Fresh Graduate

TechnoSys

Company Description: TechnoSys is a dynamic team of professionals serving the IT sector in Pakistan since 1998. We specialize in retail ERP software solutions and cater to Pakistan's top-notch local retail brands across various verticals, including Restaurant, Bakery, Supermarket, Fashion Retail, Optician, and Distributors. Our commitment to innovation and excellence has made us a leader in the industry. Join our team and contribute to shaping the future of retail technology.Role Description: This is a full-time on-site role for an Artificial Intelligence Engineer located in Karachi. The AI Engineer will be responsible for designing and developing AI models, implementing machine learning algorithms, and conducting research on advanced AI technologies. Day-to-day tasks include pattern recognition, natural language processing, and neural networks development. The AI Engineer will collaborate with cross-functional teams to integrate AI solutions into software products and enhance system capabilities.Requirements: <ul><li>Design, develop, and implement AI/ML models for various business applications.</li><li>Research and apply the latest AI technologies and best practices.</li><li>Train, test, and evaluate models using appropriate datasets.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Collaborate with software developers, data scientists, and product teams to integrate AI solutions into production systems.</li><li>Maintain and monitor deployed models to ensure reliability and performance.</li><li>Document model architecture, process flow, and performance metrics.</li><li>Contribute to innovation by proposing new AI-based features and tools.</li></ul>Qualification:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, or a related field.</li><li>Proven experience in AI/ML development (minimum 2&ndash;3 years preferred).</li><li>Proficiency in Python and AI frameworks (TensorFlow, PyTorch, Keras, etc.).</li><li>Strong understanding of data structures, algorithms, and statistical methods.</li></ul>Details: <ul><li>Timings: 9 am - 6 pm</li><li>Days: Monday to Friday</li><li>Market Competitive Salary package</li></ul>Job Type: Full-timeWork Location: In person

AI Engineer

Cubitrek Private Limited

Job Title: AI Researcher Experience Required: 2+ Years Location: OnsiteJob OverviewWe are looking for a motivated and detail-oriented AI Researcher to join our team. The ideal candidate should have a strong background in Artificial Intelligence research, excellent presentation skills, and strong verbal and written communication abilities. The candidate will be responsible for researching emerging AI technologies, analyzing AI tools and systems, and presenting findings to internal teams.Key Responsibilities<ul><li>Conduct research on Artificial Intelligence technologies, tools, and emerging trends.</li><li>Analyze and evaluate AI systems, models, and platforms for potential business applications.</li><li>Prepare research reports, documentation, and presentations based on findings.</li><li>Present research insights and recommendations to internal teams and management.</li><li>Stay updated with the latest developments in AI, machine learning, and automation tools.</li><li>Collaborate with technical teams to support AI-driven projects and initiatives.</li><li>Test and evaluate AI tools and platforms to identify opportunities for improvement and innovation.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>Minimum 2 years of experience in AI research or a related field.</li><li>Strong knowledge of AI tools, systems, and technologies.</li><li>Excellent presentation and analytical skills.</li><li>Strong verbal and written communication skills.</li><li>Ability to document research findings and present them clearly.</li><li>Familiarity with machine learning concepts, AI platforms, and automation tools.</li></ul>Preferred Skills<ul><li>Experience with AI research methodologies and documentation.</li><li>Knowledge of popular AI tools and frameworks.</li><li>Ability to analyze trends and translate research into practical insights.</li></ul>Apply on this link:https://jobs.cubitrek.com/public/applyJob Type: Full-timeApplication Question(s):<ul><li>How soon can you join us?</li><li>Expected Salary?</li><li>Current Salary?</li></ul>Work Location: In person

AI Researcher

<div>Job Title: Data Integration / ETL Developer (Oracle Cloud Data Integration) 
Location: Offshore 
Experience: 5+ Years<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking an experienced Data Integration / ETL Developer responsible for designing and developing data ingestion and transformation pipelines to support enterprise analytics and reporting solutions. The ideal candidate will work with large datasets and build scalable ETL workflows that feed data into the analytics layer used for dashboards and business intelligence reports.
The role requires strong expertise in Oracle Cloud Data Integration (OCI Data Integration) or similar ETL platforms, along with advanced SQL and data transformation skills. The candidate will collaborate closely with BI developers and analysts to ensure that data structures and pipelines effectively support reporting and analytics requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain data ingestion and transformation pipelines using Oracle Cloud Data Integration.</li><li>
Design and implement ETL workflows to extract, transform, and load data into the analytics data layer.</li><li>
Build and maintain data mappings and transformation logic to support business reporting requirements.</li><li>
Support data preparation, cleansing, and dataset creation for dashboards and analytics solutions.</li><li>
Troubleshoot and resolve data pipeline issues, failures, and data availability problems.</li><li>
Collaborate with BI developers and analysts to ensure data structures support reporting and dashboard requirements.</li><li>
Optimize ETL pipelines for performance, reliability, and scalability.</li><li>
Ensure proper documentation of data pipelines, mappings, and transformation rules.</li><li>
Follow data governance and best practices for data integration and quality management.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
Hands-on experience with Oracle Cloud Data Integration (OCI DI) or similar ETL tools.</li><li>
Strong proficiency in SQL and data transformation techniques.</li><li>
Experience designing and developing ETL pipelines for analytics and reporting solutions.</li><li>
Knowledge of data modelling concepts and data warehousing principles.</li><li>
Ability to work with large datasets and complex data transformation logic.</li><li>
Strong troubleshooting and problem-solving skills.</li><li>
Good collaboration skills to work with BI developers, analysts, and data teams.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud-based data platforms and analytics environments.</li><li>
Familiarity with data warehousing architectures such as star schema and dimensional modelling.</li><li>
Exposure to Agile or iterative data engineering development practices.</li></ul>
c5SNQNwZEa</div>

Data Integration / ETL Developer (Oracle Cloud Data Integration)

<div>
 
 Informatica IDMC Data Quality Engineer
 
 
 Experience:
 
 
 5&ndash;6 Years
 
 
 Duration:
 
 
 6 Months (Extendable up to 1 Year)
 
 
 Location:
 
 
 Offshore
 
 
 Start Date:
 
 
 Around May
 
 
 Role Purpose
 
 
 The Data Quality Engineer will be responsible for designing, implementing, and managing data quality solutions using Informatica IDMC to ensure high data accuracy, completeness, and reliability.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Develop and implement
 
 data quality rules, scorecards, and monitoring frameworks
 
 </li>
 <li>
 Perform
 
 data profiling, cleansing, and standardization
 
 </li>
 <li>
 Design workflows using
 
 Informatica Data Quality (IDQ) within IDMC
 
 </li>
 <li>
 Collaborate with business stakeholders to define
 
 data quality KPIs and standards
 
 </li>
 <li>
 Identify and resolve
 
 data anomalies and inconsistencies
 
 </li>
 <li>
 Create and maintain
 
 data quality dashboards and reports
 
 </li>
 <li>
 Ensure alignment with
 
 data governance policies and compliance standards
 
 </li>
 <li>
 Work closely with ETL teams to integrate
 
 data quality checks into pipelines
 
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Strong experience with
 
 Informatica IDMC Data Quality / IDQ
 
 </li>
 <li>
 Expertise in
 
 data profiling, cleansing, and validation techniques
 
 </li>
 <li>
 Knowledge of
 
 SQL and data analysis
 
 </li>
 <li>
 Understanding of
 
 data governance and data quality frameworks
 
 </li>
 <li>
 Experience working with
 
 large datasets and enterprise systems
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Informatica Data Quality certification &ndash;
 
 good to have
 
 </li>
 <li>
 Experience in
 
 data governance tools and metadata management
 
 </li>
 <li>
 Exposure to
 
 regulatory compliance frameworks (PDPL, GDPR, etc.)
 
 </li>
 </ul>
</div>

Informatica IDMC Data Quality Engineer

Explore 382+ Data scientist in Karachi this April. Find roles across top companies and apply now to boost your career.

382 data scientist jobs In Karachi

Expert Data Scientist

Expert Data Scientist

Actuarial Science Fresh Graduate

AI Engineer

AI Researcher

Data Integration / ETL Developer (Oracle Cloud Data Integration)

Informatica IDMC Data Quality Engineer