data entry operator

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data entry officer

senior data scientist

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>

WPP Media

<div><div>About WPP

WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company &ndash; powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.</div>
About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP's global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

At WPP Media, we believe in the power of our culture and our people. It's what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP &amp; WPP Media's shared core values:
<ul>
<li> Be Extraordinary by Leading Collectively to Inspire transformational Creativity.</li>
<li> Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.</li>
<li> Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.</li>
</ul>
About EssenceMediacom: A Leading WPP Media Brand

EssenceMediacom is a new breed of media agency. Grounded in analytics &amp; insights and powered by data &amp; technology, we believe in the power of media and creative to drive breakthroughs for the world's best brands. We help clients understand the modern marketing paradox and discover the breakthroughs brands need to win with their consumers. We are designed for the new communications economy &mdash; built on data &amp; technology, built for people &amp; algorithms, built around diverse schools of thought, built to test &amp; learn at scale, and, crucially, built to evolve.

Role Summary and Impact:

EssenceMediacom is a brand of WPP Media, the world's largest media investment company and are a part of WPP. In fact, we are responsible for one in every three ads you see globally. We are currently looking for a Senior Manager Insights &amp; Analytics to join us. In this role, you will need to understand the business needs of internal stakeholder, solve their problem by using data and also need to be highly analytical and able to translate data into business insights.
Reporting of the role
This role reports to: Director Insights &amp; Analytics

3 best things about the job: 
<div>
<ul><li>Good learning ground for energetic employee who wants to expand media industry knowledge.</li></ul>
<ul><li>Young and like-minded colleagues working with each other.</li></ul>
<ul><li>Always learning innovative and interesting things in industries.</li></ul>
</div>
In this role, your goals will be: 
In three months:
<ul>
<li>Have an understanding of the requirements and portfolio of clients</li>
<li>You will be working with Data tools to provide strategic solutions</li>
</ul>
In six months:
<ul>
<li>You will have an in-depth technical knowledge of the data and analytics tools and models. It will help to add value in meeting business goals</li>
<li>Good communication with internal stakeholders</li>
</ul>
In 12 months:
<ul>
<li>You will have started working on core KPIs</li>
<li>You will have started to build relationships with the key decision makers within the current pipeline.</li>
</ul>
What your day job looks like at EssenceMediacom:
<ul>
<li>Manage and plan all reporting according to project goals. (client and regional reports).</li>
<li>Assess and report project status and risks to Insights &amp; Analytics Director with recommended solutions and action plans.</li>
<li>Provide oversight and guidance to insights team members and also keep a track on their KPIs.</li>
<li>Responsible for all data audits and processes are carried out smoothly.</li>
<li>Identify, analyse, and interpret media trends or patterns.</li>
<li>Ability to design and develop dashboards for client's reporting</li>
<li>Providing day to day solutions to internal/external stakeholders.</li>
<li>Accountable for assuring data accuracy.</li>
</ul>
What you'll bring:
<ul>
<li>Must be skilful in Microsoft Office (Excel, PowerPoint).</li>
<li>Analyse data and develop insightful results or &quot;story&quot; that addresses business objective in a clear and concise, visually appealing format.</li>
<li>Experience in designing questionnaire and conduct research studies.</li>
<li>Experience in handling consumer insights tools.</li>
<li>Proficient in using Kantar Ratings Software.</li>
<li>Demonstrated leadership abilities, especially with cross-disciplinary efforts.</li>
<li>Proven ability to take initiative, set priorities, meet deadlines, and manage multiple streams of work</li>
<li>Excellent time management skills with the ability to multi-task in high pressure situations.</li>
</ul>
 Minimum qualifications:
<ul>
<li>Candidate must possess at least a Master's degree in Business Administration, Statistics, Marketing or Finance.</li>
<li>Minimum 4 years of experience in media/marketing research and analytics.</li>
</ul>
Life at WPP Media &amp; Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we're just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media &amp; WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, vision, and dental insurance, significant paid time off, employee wellbeing facilities, and employee mental health awareness days.
WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 
 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

About Pakistan

WPP Media Pakistan is the leading global media investment management operation in Pakistan. We see major growth coming on Digital platforms with internet penetration growing to 87 million broadband users and 85 million 3G/4G subscribers. Social media platforms have also grown substantially in Pakistan where Facebook stands at 34 million subscribers and Tik Tok has replaced Instagram to become the second most penetrated social platform. While the digitalization of the market is happening at a fast pace, it has also opened up opportunities for specializations like e-commerce, Digital Content, Video Planning solutions, Technology and Data &amp; Analytics in Pakistan.

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. While we appreciate all applications received, only those candidates selected for an interview will be contacted.

#LI-Promoted<div>

Please read our Privacy Notice for more information on how we process the information you provide.</div></div>

Senior Manager Data & Analytics

Systems Limited

<div>We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and data infrastructure. The ideal candidate will work closely with data scientists, analysts, and software engineers to ensure reliable data availability and optimize data systems for analytics and machine learning.
<h2 class="jobSectionHeader">
Responsibilities</h2>
<ul>
<li>Design, develop, and maintain scalable data pipelines for processing large datasets.
</li>
<li>Build and manage ETL/ELT workflows for data ingestion, transformation, and loading.
</li>
<li>Develop and optimize data warehouse and data lake architectures.
</li>
<li>Ensure data quality, reliability, and integrity across data platforms.
</li>
<li>Work with cross-functional teams to understand data requirements.
</li>
<li>Implement data governance, security, and compliance standards.
</li>
<li>Monitor, troubleshoot, and optimize data systems for performance.
</li>
<li>Automate data workflows and scheduling processes.
</li>
</ul><h2 class="jobSectionHeader">Requirements:</h2>
<ul>
<li>Strong programming skills in Python, Java, or Scala
</li>
<li>Expertise in SQL
</li>
<li>Experience with Apache Spark, Apache Kafka, or Apache Airflow
</li>
<li>Knowledge of Hadoop ecosystem
</li>
<li>Experience with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake
</li>
<li>Familiarity with cloud platforms like Amazon Web Services, Google Cloud, or Microsoft Azure
</li>
<li>Understanding of data modeling and database design</li></ul></div>

Senior Managing Consultant Data Analytics

10Pearls

<div>Company Overview
10Pearls is an award-winning end-to-end digital innovation company that helps businesses imagine and build the future. We are proud to announce that 10Pearls was named the winner of the Best Tech Work Culture Timmy Award in Washington, D.C. by Tech in Motion, recognized on the Inc. 5000 Fastest-Growing Companies List, and was ranked the #1 Most Diverse Midsize Company in Greater Washington. We partner with businesses to help them transform, scale, and accelerate by adopting digital and exponential technologies. Our work has ranged from creating highly usable, secure digital experiences, mobile and software products, to helping businesses modernize through cloud adoption and development and the digitalization of their business processes. Our clientele is highly diverse, including Global 1000 enterprises, mid-market businesses, and even high-growth start-ups. But those are just facts. What makes us unique is that we have a true heart and soul. We have a strong focus on a double bottom line and actively support and engage with the communities where we live and work to make the world a better place. In a nutshell, we believe in doing well while doing good and know how to balance the two. 
 
Role 
 
We are seeking a skilled Data Engineer with strong expertise in Databricks and Snowflake to design, build, and optimize scalable data pipelines. You will work on high‑performance data processing workflows that support our platform, with a focus on real‑time analytics, large‑scale data transformations, and efficient data modeling. If you have experience with distributed data systems, cloud‑based data platforms, and modern data engineering best practices, we&rsquo;d love to hear from you. 
 
Responsibilities<ul><li>
Build and optimize data pipelines that ingest, validate, and transform core banking data (accounts, transactions, balances, parties, fees) from multiple source systems into our Databricks/Delta Lake lakehouse.</li><li>
Scale and evolve a multi‑tenant architecture, ensuring tenant isolation, efficient partitioning, and consistent schema evolution as we onboard new banks.</li><li>
Own CI/CD for the data platform, including GitHub Actions workflows, SQLMesh plan/apply lifecycle, and Databricks deployment automation.</li><li>
Develop and integrate ML models, including propensity scoring, churn prediction, segmentation, and customer scoring models that feed directly into analytics and decisioning layers.</li><li>
Ensure pipeline reliability through monitoring, alerting, and robust data validation across tenants and environments.</li><li>
Design and maintain 300+ SQL and Python data models across Bronze, Silver, and Gold layers using SQLMesh, with an emphasis on clean abstractions, reusability, and correctness.</li><li>
Own the metrics layer, defining and validating gold‑standard business metrics (revenue, attrition, household analytics, segmentation, balance projections) used by dashboards and APIs.</li><li>
Champion data quality by writing SQLMesh audits, unit tests, and enforcing schema contracts to ensure downstream consumers can trust the data.</li><li>
Collaborate with product and banking domain experts to translate business requirements into well‑modeled, documented, and performant data assets.</li><li>
Drive documentation and discoverability, ensuring data models are self‑describing and easily understood by analysts and product teams.</li></ul><h2 class="jobSectionHeader">
Requirement</h2><ul><li>
8+ years of software engineering experience, with deep expertise in data engineering and strong exposure to analytics engineering or data modeling.</li><li>
Production experience with SQLMesh or dbt, including building, testing, and deploying transformation projects (SQLMesh strongly preferred).</li><li>
Hands‑on experience with Databricks or Snowflake, operating pipelines and warehouses in production environments.</li><li>
Advanced SQL skills, including complex window functions, CTEs, incremental logic, and performance‑optimized aggregations.</li><li>
Proficiency in Python, especially for PySpark transformations, data validation, and pipeline automation.</li><li>
Strong understanding of dimensional modeling, medallion/layered architectures, and data quality best practices.</li><li>
Experience with CI/CD for data, including automated testing, version control, and deployment pipelines.</li></ul><h3 class="jobSectionHeader">
Nice‑to‑Have Qualifications</h3><ul><li>
Experience building or operationalizing ML models (propensity, churn, segmentation) within a data platform.</li><li>
Background in banking, financial services, or fintech data domains.</li><li>
Familiarity with Azure services (ADLS Gen2, Azure SQL, Databricks on Azure).</li><li>
Experience with multi‑tenant SaaS data architectures, including schema isolation and tenant‑aware partitioning.</li><li>
Exposure to data mesh concepts and domain‑oriented data ownership.</li><li>
Familiarity with Databricks Unity Catalog, Auto Loader, or Databricks Workflows.</li><li>
Experience with Linear, GitHub Actions, or similar project management and CI/CD tooling.</li></ul>
SxdPau6ofa</div>

Senior Software Consultant - Databricks / Snowflake - Afternoon

LN Technologies

ob description:LN Technologies, a subsidiary of App Maisters Inc USA, is an Enterprise App Development company that specializes in developing Mobility, Web, BI, and Cloud-based solutions. With over 400 successful projects under our portfolio, we take pride in catering to the needs of all sizes and types of clients, from ambitious startups &amp; small businesses to large multinationals.We are seeking a motivated and detail-oriented BioMedical Research Scientist to support innovation in the biomedical and biosciences domains. This role involves identifying strategic collaboration opportunities, conducting in-depth market and scientific research, and supporting grant and research paper writing efforts. You will work closely with cross-functional teams and stakeholders to drive innovation aligned with emerging trends and funding landscapes.Key Responsibilities:<ul><li>Conduct comprehensive research on individuals, businesses, universities, and non-profits to assess eligibility, expertise, and strategic fit for collaboration.</li><li>Analyze funding history, research expertise, and past participation using public records, proprietary databases, and research tools.</li><li>Identify and develop research-driven ideas aligned with current biomedical and bioscience trends and funding opportunities.</li><li>Monitor and interpret key developments in biomedical innovation, public health initiatives, and emerging technologies.</li><li>Conduct market research and gather market intelligence to identify competitive positioning, white space, and industry needs.</li><li>Prepare reports and presentations summarizing key insights and strategic recommendations.</li><li>Assist in writing and editing research papers, white papers, and grant applications.</li><li>Perform comprehensive literature reviews and synthesize information from peer-reviewed journals, government databases, and clinical trials.</li><li>Collect, interpret, and analyze data from diverse sources such as PubMed, NIH RePORTER, clinical trial registries, and scientific publications.</li><li>Support data visualization and presentation for internal and external stakeholders.</li></ul>Required Qualifications:<ul><li>Currently pursuing a PhD in Biomedical Engineering &amp; Biomedical Technology / Sciences</li><li>Experience:</li><li>Minimum +1 year of research experience in a biomedical or biosciences domain.</li><li>Demonstrated experience in research writing, including literature reviews or academic papers.</li><li>Familiarity with academic research methodologies, ethics, and compliance.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you comfortable working on the Evening Shift?</li><li>What is your Current Salary?</li><li>What is your expected salary?</li><li>How soon can you join?</li><li>Are you currently enrolled in a PhD program in Biomedical Engineering &amp; Biomedical Technology / Sciences or a related field?</li></ul>Work Location: In person

Biomedical Researcher - Evening Shift

Ocean Software Digital (Pvt.) Ltd.

We are looking for a detail-oriented professional who can prepare management reports, analyze procurement data, and present insights to senior leadership.Shift Timings: 6PM - 3AM , 8PM - 5AM Location: DHA phase 5, KarachiResponsibilities:<ul><li>Prepare monthly and weekly management reports.</li><li>Create dashboards and analytical reports in MS Excel.</li><li>Present reports to CEO and management.</li><li>Manage procurement data and performance tracking.</li><li>Ensure data accuracy and timely reporting.</li></ul>Requirements:<ul><li>Strong MS Office skills.</li><li>Experience in management or MIS reporting.</li><li>Strong analytical and communication skills.</li><li>Confident in presenting to senior management.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>This is a full-time, night shift, on-site position based in DHA Phase 5, Karachi. Are you able to commit to this schedule?</li></ul>Work Location: In person

Management Reporting Executive

Explore 803+ Senior data scientist in Karachi this March. Find roles across top companies and apply now to boost your career.

803 senior data scientist jobs In Karachi

Expert Data Scientist

Expert Data Scientist

Senior Manager Data & Analytics

Senior Managing Consultant Data Analytics

Senior Software Consultant - Databricks / Snowflake - Afternoon

Biomedical Researcher - Evening Shift

Management Reporting Executive