people process & data administrator Jobs in Islamabad

people process & data administrator

ai/ml engineer

data engineer

forecast analyst

senior ai/ml engineer

data scientist

S&P Global

<div>
 
 About The Role
 
 
 
 
 Grade Level (for internal use):
 
 
 
 10
 
 
 
 Team Overview
 
 
 
 Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially
 
 AWS and Snowflake
 
 , and prioritise data security and governance.
 
 Collaboration is key
 
 , as we work closely with
 
 Data Scientists and ML Engineers
 
 to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like
 
 Generative AI models
 
 and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.
 
 
 
 Role Impact
 
 
 
 In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the
 
 Machine Learning (ML) and Generative AI (GenAI) lifecycle
 
 . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will
 
 drive innovation by developing, optimising, and maintaining production-level data pipelines
 
 that support both analytical and predictive modelling, enhancing data processing efficiency and enabling
 
 data-driven decision-making
 
 across the organisation.
 
 
 Main Contributions
 
 
 
 Responsibilities: (Dual Emphasis on Data Engineering &amp; Data Science Enablement)
 
 
 
 <ul>
 <li>
 ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
 </li>
 <li>
 Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store, ensuring consistency, reusability, and low-latency access to features for model training and deployment.
 </li>
 <li>
 GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data, including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures.
 </li>
 <li>
 Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
 </li>
 <li>
 MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow), focusing on automating pipelines and managing data versioning.
 </li>
 <li>
 Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads, while managing costs effectively.
 </li>
 <li>
 Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets, maintaining data integrity and confidentiality in line with governance standards.
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 
 Essential Skills: (Dual Focus)
 
 
 
 <ul>
 <li>
 Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
 </li>
 <li>
 Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
 </li>
 <li>
 Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
 </li>
 <li>
 Distributed Processing: Familiarity with distributed computing frameworks such as Dask for large-scale data transformation.
 </li>
 <li>
 Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
 </li>
 <li>
 Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications: (AI/ML Specialization)
 
 
 
 <ul>
 <li>
 MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
 </li>
 <li>
 Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures.
 </li>
 <li>
 Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
 </li>
 <li>
 Advanced Data Orchestration: Experience with modern orchestrators like Prefect, or Dagster for managing complex, data-science-focused workflows.
 </li>
 <li>
 Experience with Cortex AI or comparable cloud AI tools.
 </li>
 <li>
 Certifications in Snowflake, AWS Data Analytics, or related areas.
 
 
 </li>
 </ul>
 #
 
 
 
 What&rsquo;s In It For
 
 
 You?
 
 
 
 
 Our Purpose
 
 
 
 Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology&ndash;the right combination can unlock possibility and change the world.
 
 
 Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&amp;P Global we transform data into Essential Intelligence&reg;, pinpointing risks and opening possibilities. We Accelerate Progress.
 
 
 
 Our People
 
 
 
 We're more than 35,000 strong worldwide&mdash;so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
 
 
 From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We&rsquo;re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We&rsquo;re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
 
 
 
 Our Values
 
 
 
 
 Integrity, Discovery, Partnership
 
 
 
 At S&amp;P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of
 
 integrity
 
 in all we do, bring a spirit of
 
 discovery
 
 to our work, and collaborate in close
 
 partnership
 
 with each other and our customers to achieve shared goals.
 
 
 
 Benefits
 
 
 
 We take care of you, so you can take care of business. We care about our people. That&rsquo;s why we provide everything you&mdash;and your career&mdash;need to thrive at S&amp;P Global.
 
 
 
 Our Benefits Include
 
 
 
 <ul>
 <li>
 Health &amp; Wellness: Health care coverage designed for the mind and body.
 </li>
 <li>
 Flexible Downtime: Generous time off helps keep you energized for your time on.
 </li>
 <li>
 Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
 </li>
 <li>
 Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
 </li>
 <li>
 Family Friendly Perks: It&rsquo;s not just about you. S&amp;P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
 </li>
 <li>
 Beyond the Basics: From retail discounts to referral incentive awards&mdash;small perks can make a big difference.
 
 
 </li>
 </ul>
 For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries
 
 
 
 Global Hiring And Opportunity At S&amp;P Global
 
 
 
 At S&amp;P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
 
 
 
 Recruitment Fraud Alert
 
 
 
 If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&amp;P Global never requires any candidate to pay money for job applications, interviews, offer letters, &ldquo;pre-employment training&rdquo; or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
 
 
 
 Equal Opportunity Employer
 
 
 
 S&amp;P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
 
 
 If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
 
 
 US Candidates Only:
 
 The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
 
 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority &ndash; Ratings - (Strategic Workforce Planning)
 
 
 
 Job ID:
 
 318971
 
 
 
 Posted On:
 
 2025-09-09
 
 
 
 Location:
 
 Islamabad, Pakistan
 
 
</div>

Senior Data Scientist

Value Engineering

Position: AI Data Scientist &amp; Annotation ExpertLocation: On-site, Night Shift, Bahria Phase 4 RawalpindiEmployment Type: Full-timeAbout the RoleWe are looking for a skilled AI Data Scientist &amp; Annotation Expert to drive the full lifecycle of AI/ML solutions &mdash; from data collection and annotation through advanced model development, training, and deployment. The role combines hands-on annotation expertise (critical for building high-quality training datasets) with data science and machine learning skills to ensure robust, production-ready AI systems.You will play a central role in curating high-quality datasets, experimenting with algorithms, and ensuring model performance by leveraging both advanced data science techniques and precise annotation workflows.Key ResponsibilitiesData Science &amp; Machine Learning<ul><li>Design, build, and evaluate machine learning/deep learning models for NLP, Computer Vision, or multimodal tasks.</li><li>Perform feature engineering, exploratory data analysis (EDA), and statistical modeling.</li><li>Experiment with different model architectures (CNNs, RNNs, Transformers, LLMs) and optimize hyperparameters for maximum performance.</li><li>Develop and deploy scalable ML pipelines in production (using FastAPI, TensorFlow Serving, TorchServe, or containerized environments).</li><li>Collaborate with engineers and product teams to integrate models into end-user applications.</li></ul>Data Annotation &amp; Curation<ul><li>Design annotation workflows and guidelines for various data types (images, PDFs, audio, video, and text).</li><li>Perform and manage manual and semi-automated annotation tasks (e.g., bounding boxes, polygons, segmentation masks, labeling, and text tagging).</li><li>Implement quality control measures to ensure annotations meet accuracy and consistency standards.</li><li>Train and supervise annotation teams, providing feedback and ensuring adherence to project requirements.</li><li>Work with annotation tools (e.g., Label Studio, CVAT, Supervisely, Prodigy, Labelbox).</li><li>Assist in building gold-standard datasets that serve as the foundation for AI/ML training.</li></ul>MLOps &amp; Data Ops<ul><li>Set up pipelines for dataset versioning, experiment tracking, and model reproducibility (using MLflow, DVC, or similar).</li><li>Monitor dataset drift, class imbalances, and annotation consistency to avoid bias in models.</li><li>Collaborate with DevOps teams for deployment, scaling, and monitoring of AI models.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI/ML, or a related field.</li><li>Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).</li><li>Solid understanding of machine learning algorithms, deep learning architectures, and statistical methods.</li><li>Hands-on experience with data annotation platforms (Label Studio, CVAT, or similar).</li><li>Familiarity with SQL/NoSQL databases and big data handling.</li><li>Strong understanding of data preprocessing (cleaning, augmentation, normalization, and transformation).</li></ul>Preferred Skills<ul><li>Prior experience in annotation team management or data labeling quality assurance.</li><li>Knowledge of vector databases (pgvector, Pinecone, Weaviate, Chroma) for AI-driven search and RAG pipelines.</li><li>Experience with MLOps tools (Airflow, Kubeflow, MLflow).</li><li>Knowledge of annotation automation using weak supervision, active learning, or semi-supervised learning techniques.</li><li>Understanding of ethical AI practices, bias detection, and responsible dataset curation.</li></ul>Soft Skills<ul><li>Exceptional attention to detail and accuracy in handling data.</li><li>Ability to train, mentor, and guide annotation teams.</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication for both technical and non-technical audiences.</li><li>Self-driven, proactive, and collaborative mindset.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>are you comfortable working night shift?</li><li>Are you comfortable commuting to Bahria phase 4 Rawalpindi?</li></ul>Work Location: In person

AI Data Scientist & Annotation Expert

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Webtronix

Job Summary: We are seeking a skilled and innovative Senior AI/ML Engineer to join our team and help design, develop, and deploy cutting-edge machine learning and artificial intelligence solutions. The ideal candidate will have strong programming skills, a deep understanding of machine learning algorithms, and experience working with large-scale datasets. You&rsquo;ll work cross-functionally with data scientists, software engineers, and product teams to integrate AI/ML models into real-world applications.Responsibilities:<ul><li>Design, develop, and implement machine learning models and AI algorithms.</li><li>Collaborate with data scientists and domain experts to preprocess and analyze data.</li><li>Optimize models for performance, scalability, and accuracy.</li><li>Develop end-to-end pipelines for model training, validation, deployment, and monitoring.</li><li>Integrate machine learning solutions into production systems and applications.</li><li>Conduct model evaluation and tuning using metrics such as precision, recall, F1 score, and ROC AUC.</li><li>Maintain documentation for models, data pipelines, and experiments.</li><li>Stay updated with the latest AI/ML research and industry trends and apply best practices.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Strong programming skills in Python (and libraries such as TensorFlow, PyTorch, scikit-learn).</li><li>Solid understanding of supervised, unsupervised, and deep learning techniques.</li><li>Experience with data preprocessing, feature engineering, and data visualization.</li><li>Familiarity with cloud platforms (AWS, GCP, Azure) and ML Ops tools.</li><li>Experience working with large datasets and distributed computing frameworks (e.g., Spark).</li><li>Understanding of software engineering best practices: version control (Git), CI/CD, testing, etc</li></ul>Technical Skills:<ul><li>Experience with NLP, Computer Vision, or Time Series modeling.</li><li>Familiarity with Docker, Kubernetes, and model deployment frameworks like MLflow or SageMaker.</li><li>Contributions to open-source ML projects or research publications.</li><li>Experience with data annotation tools and techniques.</li></ul>Web-Tronix is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.Job Type: Full-timePay: Rs100,000.00 - Rs250,000.00 per monthWork Location: In person

Senior AI/ML Engineer

ZIEL Global Private Limited

About the Role We&rsquo;re looking for a Data Engineer to build secure, reliable, and scalable data pipelines powering real-time analytics and AI insights. You&rsquo;ll design cloud-based architectures that process, clean, and deliver mission-critical data across operations.Key Responsibilities<ul><li>Design and maintain data pipelines for large-scale transactional and real-time data</li><li>Develop ETL/ELT workflows using Azure Data Factory, Databricks, or similar</li><li>Implement data quality, validation, and monitoring frameworks</li><li>Ensure compliance with data governance and protection regulations</li><li>Optimize data storage and access performance</li><li>Collaborate with AI, product, and backend teams for seamless data delivery</li></ul>Qualifications<ul><li>Bachelor&rsquo;s in Computer Science, Engineering, or related field</li><li>5+ years of data engineering experience</li><li>Expertise in SQL, Python, and Azure data services (Data Factory, Synapse, Data Lake)</li><li>Knowledge of both batch and streaming architectures</li><li>Strong understanding of data security and governance</li></ul>Preferred<ul><li>Experience with real-time analytics and industrial or procurement datasets</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

Data Engineer

Danescor Corporation

<div>
 
 
 Summary:
 
 
 
 Danescor is a leader in the fast-developing market of Next Generation Internet Investment Banking (IIB) operating across the US and Europe providing investment banking services to mid-market corporates looking to acquire, sell or raise debt or equity finance. Since inception Danescor has achieved CAGR in excess of 120% and established itself as the &ldquo;Go To&rdquo; partner in many sectors within the technology and communications industries. Through its growing reputation and market presence Danescor has established strong trading relationships with many of the leading industry consolidators and PE firms active in the industries it operates in.
 
 
 
 
 
 
 Role Description:
 
 
 
 In the role of a Data Analyst you will support our Data Science team, and possess a demonstrable track record of delivering data-driven insights and analytical support across complex projects. Successful candidates will have the technical and commercial acumen to support cross-functional teams, working across multiple sectors including UK and US markets. The role requires the ability to work independently and collaboratively with data scientists and business stakeholders, ensuring analytical deliverables are accurate, insightful, and aligned with project goals. The ideal candidate will be comfortable managing large datasets, producing clear dashboards and reports, and contributing to the design of scalable data solutions. Candidates should have experience juggling multiple priorities, ensuring data integrity, and driving measurable impact through thoughtful analysis.
 
 
 The successful candidate&rsquo;s role aligns directly with the Company&rsquo;s ongoing automation, scale, and operational intelligence.
 
 
 
 
 <ul>
 <li>
 
 Data Pipeline Automation:
 
 &nbsp;You will be required to support our roadmap to build scalable, reusable data pipelines for internal and external data delivery, decreasing time-to-insight.
 </li>
 <li>
 
 Platform and Data Product Maturity:
 
 &nbsp;You will be part of a team which provide reliable, real-time, and well-governed data as part of our core M&amp;A platform offerings.
 </li>
 <li>
 
 Systems Resilience and Sustainability:
 
 &nbsp;Reduce reliance on fragile tooling or one-off fixes, ensure a robust, production-grade data infrastructure.
 </li>
 <li>
 
 Cross-Team Enablement:
 
 &nbsp;Facilitates better integration between engineering and planning.
 </li>
 </ul>
 
 
 
 
 
 Required Candidate Profile:
 
 
 <ul>
 <li>
 
 Skills:
 
 &nbsp;Python, SQL, Pandas, Azure Automations tools (Power Apps, Power Automate), Linux/shell scripting.
 </li>
 <li>
 
 Experience:
 
 &nbsp;2&ndash;3 years in data-focused roles, preferably in analytics or automation.
 </li>
 <li>
 
 Traits:
 
 &nbsp;Proactive, systems thinker, excellent communicator, strong problem-solver.
 </li>
 </ul>
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Recommend internal process improvements for scalability, optimizing data delivery, and automating manual processes.
 </li>
 <li>
 You will be required to collaborate with internal business partners and provide regular updates and reports on assigned tasks.
 </li>
 <li>
 Create and customize SharePoint lists and forms using Power Apps to optimize data collection with business logic and dynamic user interfaces. Support planning staff with data management, analysis, and research.
 </li>
 <li>
 Identify opportunities for streamlining and automating existing data systems. Improve automation of data acquisition.
 </li>
 <li>
 Develop and update public-facing data, including the main company platforms.
 </li>
 <li>
 Create data collection pipelines for various reporting requirements.
 </li>
 <li>
 Automate business processes and workflows using Microsoft Power Automate
 </li>
 <li>
 Create data visualizations and reports using Power BI
 </li>
 <li>
 Facilitate data integration and analysis by applying data standards, ontologies, and metadata.
 </li>
 </ul>
 
 
 
 
 
 Knowledge, Skills, and Abilities:
 
 
 <ul>
 <li>
 Ability to write and present technical information clearly.
 </li>
 <li>
 Knowledge of Microsoft Office Suite (Word, PowerPoint, Excel, Outlook).
 </li>
 <li>
 Familiarity with programming languages like Python, SQL, or R.
 </li>
 <li>
 Ability to apply logical thinking to solve complex problems.
 </li>
 <li>
 Background in data mining and statistical analysis.
 </li>
 <li>
 Proficiency in Python and libraries such as NumPy, Pandas, Polars.
 </li>
 <li>
 Intermediate experience with databases and query languages like SQL.
 </li>
 <li>
 Experience with Linux, shell scripting, and Azure Apps
 </li>
 <li>
 Strong problem-solving, organizational, and communication skills.
 </li>
 <li>
 Proficiency in English (reading, writing, and speaking).
 </li>
 </ul>
 
 
 
 
 
 Job Type:&nbsp;
 
 Full Time
 
 
 
 Job Location:&nbsp;
 
 Islamabad, Remote
 
</div>

Data Analyst (Islamabad)

Confiz

<div>
 We are looking for a Data Engineer with 2&ndash;3 years of experience to join our team. The ideal candidate is passionate about data engineering and eager to learn and grow while supporting the development and maintenance of modern data pipelines and analytics solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Assist in designing, building, and maintaining ETL/ELT data pipelines.
 </li>
 <li>
 Support data ingestion and integration from various source systems into cloud platforms.
 </li>
 <li>
 Write and optimize SQL and Python scripts for data transformation and processing.
 </li>
 <li>
 Work with senior engineers to ensure data accuracy, consistency, and reliability.
 </li>
 <li>
 Implement basic monitoring and logging to ensure data pipelines run smoothly.
 </li>
 <li>
 Document processes, workflows, and data models.
 </li>
 <li>
 Collaborate with stakeholders to understand requirements and deliver data solutions.
 </li>
 <li>
 Participate in code reviews and follow best practices in data engineering.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Software Engineering
 </li>
 <li>
 2&ndash;3 years of experience in data engineering, data integration, or ETL development.
 </li>
 <li>
 Hands-on experience with SQL and Python.
 </li>
 <li>
 Basic knowledge of data modeling and ETL processes.
 </li>
 <li>
 Familiarity with cloud-based data platforms (Azure, AWS, or GCP).
 </li>
 <li>
 Exposure to tools like ADF, Databricks, or Microsoft Fabric (a plus).
 </li>
 <li>
 Understanding of version control tools (e.g., Git).
 </li>
 <li>
 Strong problem-solving skills and eagerness to learn new technologies.
 </li>
 <li>
 Good communication skills and ability to work collaboratively in a team.
 
 
 </li>
 </ul>
 We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
 
 
 What makes Confiz stand out is our focus on processes and culture. Confiz is
 
 ISO 9001:2015
 
 (QMS),
 
 ISO 27001:2022
 
 (ISMS),
 
 ISO 20000-1:2018
 
 (ITSM) and
 
 ISO 14001:2015
 
 (EMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
 
 
 People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
 
 
 To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/
</div>

Explore 373+ Data scientist in Islamabad this October. Find roles across top companies and apply now to boost your career.

373 data scientist jobs IN Islamabad

Senior Data Scientist

AI Data Scientist & Annotation Expert

AI Engineer

Senior AI/ML Engineer

Data Engineer

Data Analyst (Islamabad)

Data Engineer