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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>

Expert Data Scientist

Brand786 LTD

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

Data Analyst

NextGen | GTA: A Kelly Telecom Company

<div>
 
 We are seeking a highly skilled
 
 Data Analyst
 
 to play a key role in transforming our data into high-quality, actionable insights that support business decision-making&mdash;particularly for sales and revenue operations. This role partners closely with data engineers, business analysts, system administrators, and business stakeholders to define data requirements, ensure data accuracy, and deliver meaningful analytics.
 
 
 The ideal candidate brings strong technical expertise, along with hands-on experience working with CRM and sales data. They enjoy working in a dynamic, fast-paced environment and are comfortable with ambiguity.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Work with data engineers, business analysts, and stakeholders to define data requirements.
 </li>
 <li>
 Examine data from multiple source systems and run comparison analysis for anomalies, errors, and inconsistencies.
 </li>
 <li>
 Design and implement mapping logic to cleanse, filter, and structure raw data into usable, high-quality data sets. Document data mappings, conversion rules, workflows, and ETL specifications.
 </li>
 <li>
 Work with technical SMEs and system administrators to create and optimize ETL processes, scripts, and workflows to move data between systems.
 </li>
 <li>
 Work with technical and functional SMEs to validate data and ensure high quality. Troubleshoot and problem solve data-related issues.
 </li>
 <li>
 Use statistical techniques to interpret data, identify patterns, and predict trends
 </li>
 <li>
 Create interactive dashboards, reports, and visualizations to communicate findings to stakeholders.
 </li>
 <li>
 Make recommendations to improve processes, workflows, and automation.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 
 4+ years work experience
 
 in a data analyst or equivalent role
 </li>
 <li>
 
 Functional Experience:
 
 Supporting sales organizations and working with sales data, customer accounts data, and revenue data
 </li>
 <li>
 
 CRM
 
 : Experience with CRM Tools such as HubSpot, Bullhorn, and Gong
 </li>
 <li>
 
 BI
 
 : Experience with BI Tools such as Power BI or Tableau
 </li>
 <li>
 
 Data Analysis:
 
 Ability to analyze data structures and interpret complex datasets.
 </li>
 <li>
 
 Analytical Skills:
 
 Strong mathematical skills to gather, measure, and analyze data.
 </li>
 <li>
 
 Technical Skills:
 
 Strong proficiency in SQL, experience with ETL tools (e.g., Informatica, Talend, SSIS), and scripting languages (Python, Bash). Experience with Excel and Power Point.
 </li>
 <li>
 
 Database Knowledge:
 
 Familiarity with relational databases (SQL Server, Oracle, PostgreSQL) and data warehousing concepts.
 </li>
 <li>
 
 Soft Skills:
 
 Communication skills to explain technical findings to non-technical stakeholders and critical thinking to solve business problems.
 </li>
 <li>
 
 Education:
 
 Bachelor's degree in mathematics, statistics, computer science, data science, or business analytics; or equivalent work experience.
 </li>
 </ul>
 
 
</div>

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

SMA Engineering and Services

Job Title: Data AnalystLocation: Lahore Employment Type: PermanentJob Summary:We are looking for a detail-oriented Data Analyst to manage laboratory data, generate technical reports, and maintain digital records. The candidate will ensure accurate data handling, analysis, and reporting in coordination with the technical team.Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science / IT or related field</li><li>Minimum 2 years experience in data handling, MIS, or technical reporting</li><li>Strong skills in MS Excel and data management tools</li><li>Good analytical and reporting skills</li></ul>Key Responsibilities:<ul><li>Data entry and validation of laboratory results</li><li>Data integration and management of digital records</li><li>Preparation of technical and analytical reports</li><li>Maintain and organize database systems</li><li>Coordinate with laboratory staff for accurate reporting</li></ul>Job Type: Full-timeWork Location: In person

Careem

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

Data Analyst I

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

AI Engineer

Explore 513+ Data scientist in Lahore this March. Find roles across top companies and apply now to boost your career.

513 data scientist jobs In Lahore

Expert Data Scientist

Data Analyst

Data Analyst

Data Engineer, Tech

Data Analyst

Data Analyst I

AI Engineer