data scientist

Cosmo Resources

At Traxccel, we&rsquo;re transforming the way organizations harness data to drive strategy, optimize operations, and deliver impact. Our advanced analytics and AI-driven platforms empower businesses across industries with cutting-edge insights&mdash;and we&rsquo;re looking for a Senior Data Scientist to help us take our data innovation to the next level.Key Responsibilities<ul><li>Design, build, and deploy machine learning models and AI-driven systems across a variety of domains including NLP, recommendation engines, and generative AI.</li><li>Lead the use of Databricks Mosaic AI for scalable model training, experimentation, and lifecycle governance.</li><li>Leverage Azure AI services (e.g., Azure OpenAI, Cognitive Services) to operationalize and integrate intelligent capabilities into production applications.</li><li>Utilize Azure Foundry and other cloud-native frameworks to architect robust, high-scale AI solutions.</li><li>Translate business challenges into data science problems and deliver measurable results through applied machine learning.</li><li>Implement and maintain enterprise-grade ML workflows with a focus on security, scalability, and performance.</li><li>Apply a range of advanced techniques, including LLMs, prompt engineering, fine-tuning, and traditional ML methods.</li><li>Collaborate with engineering, analytics, and product teams to deliver end-to-end AI solutions.</li><li>Mentor junior data scientists and foster a culture of innovation, experimentation, and ethical AI use.</li></ul>Required Qualifications<ul><li>7+ years of hands-on experience in data science and ML model deployment in production environments.</li><li>Deep expertise with Databricks Mosaic AI, including distributed training, MLOps, and governance.</li><li>Strong experience with the Microsoft Azure ecosystem&mdash;especially Azure AI, Azure ML, Azure Foundry, and Azure Synapse.</li><li>In-depth understanding of machine learning, LLMs, NLP, and related evaluation and integration techniques.</li><li>Proficient in Python and libraries such as scikit-learn, PyTorch/TensorFlow, Hugging Face Transformers.</li><li>Experience designing reproducible ML pipelines and ensuring model performance and observability.</li><li>Familiar with MLflow, Git, Azure DevOps, and other tools used for collaboration, versioning, and model tracking.</li></ul>Preferred Qualifications<ul><li>Demonstrated experience building scalable, cloud-native AI systems in a production setting.</li><li>Knowledge of responsible AI practices, including fairness, transparency, bias mitigation, and compliance.</li><li>Familiarity with vector databases and tools for LLM evaluation and monitoring.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

UTOPIA INDUSTRIES PVT LTD

We are actively looking to hire a Data Analyst to join our team. The ideal candidate has strong experience working with data end-to-end&mdash;from collecting and cleaning data to transforming it into clear, actionable insights through dashboards.Key Responsibilities<ul><li>Perform data scraping from various sources (web, APIs, databases, etc.)</li><li>Clean, preprocess, and validate data to ensure accuracy and reliability</li><li>Design, build, and maintain interactive dashboards and reports</li><li>Use Power BI to visualize data and communicate insights effectively</li><li>Analyze trends and patterns to support business decision-making</li><li>Collaborate with stakeholders to understand data requirements and reporting needs</li></ul>Required Skills &amp; Qualifications<ul><li>Proven experience as a Data Analyst or in a similar role</li><li>Strong experience with data scraping and data extraction techniques</li><li>Solid background in data cleaning and transformation</li><li>Hands-on experience with Power BI (DAX and data modeling is a plus)</li><li>Proficiency in SQL; experience with Python or similar tools is a plus</li><li>Strong analytical and problem-solving skills</li><li>Ability to communicate insights clearly to technical and non-technical audiences</li></ul>Nice to Have<ul><li>Experience with other BI tools (Tableau, Looker, etc.)</li><li>Knowledge of cloud platforms or data warehouses</li><li>Experience working with large or unstructured datasets</li></ul>What We Offer<ul><li>Competitive compensation</li><li>Flexible work environment</li><li>Opportunity to work with real-world data and impactful projects</li><li>Collaborative and growth-oriented team culture</li></ul>Job Type: Full-timeWork Location: In person

Data Analyst

foodpanda

<div>
 foodpanda is part of the Delivery Hero Group, the world&rsquo;s pioneering local delivery platform, our mission is to deliver an amazing experience&mdash;fast, easy, and to your door. We operate in over 70+ countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index.
 
 
 
 Job Description
 
 
 
 The pandas have embarked on an inspiring journey to serve &ldquo;Meal for Every Table.&rdquo; This adventure began in the bustling hub of our Delivery Heroes, Vendor Partners, Suppliers, Pandamarts, and Passionate Homechefs, all united by the dream of delivering joy through delicious food and more. Together, our pandas face challenges, bring innovations, and with unwavering determination and heart, they strive to deliver Meal for Every Table.
 
 
 Join us on our journey as we aim to connect with 25% of Pakistan's population, delivering more than just meals, uplifting lives, and driving positive transformation throughout the nation. Come onboard as a &ldquo;Performance Analyst&rdquo; and play your part in the &ldquo;Commercial Domain.&rdquo;
 
 
 On this journey, you will report to &ldquo;Senior Manager, Global Food Service Operations"
 
 
 
 Responsibilities:
 
 
 
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 Analyse weekly and monthly business performance, prepare and deliver reports for the regional leadership of GFS
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 Use analytics to develop forecasts, measure trends and design quantifiable plans to mitigate any potential risks and establish strategic priorities
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 Use data analytics to understand current processes, identify opportunities and develop business models
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 Analyse and evaluate project risks and opportunities across multiple functions and design project scope, deliverables and frameworks for new initiatives
 
 
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 </ul>
 
 Qualifications
 
 
 
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 3 to 5 years experience as a BI/Data analyst.
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 At least a Bachelor's degree in a quantitative subject, e.g. computer science, physics, mathematics, economics, engineering or demonstrable relevant practical experience.
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 Highly proficient in SQL.
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 Creative in data visualization (Tableau or another modern visualization tool is a must).
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 Competence with reproducible data analysis using Python.
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 Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
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 Familiarity with BigQuery and the Google Cloud Platform is a plus.
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 Experience using git.
 
 
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 </ul>
 
 Additional Information
 
 
 
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 We are fast, like mind boggling fast! So if you&rsquo;re someone who loves ever changing goals and loves optimization, you&rsquo;re the right fit for us!
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 We love people who can develop things from scratch, own them and then work on improving them.
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 We love what we do, and we don&rsquo;t rest until we&rsquo;ve achieved our targets. So if you&rsquo;re also someone who is driven until the dream is achieved, come join us!
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 </ul>
</div>

Performance Analyst

Liquid Technologies

Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. LiqTeq offers various services in DevOps, Data services, and AI to multiple businesses and organizations and those that are in the startup phase. We're a team of creators, thinkers, explorers, and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people, just like you.Job Description <ul><li>Assemble large, complex data sets and build data pipelines that meet functional, non-functional business and data monetization requirements.</li><li>Work with the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and cloud-based data storage and analytics services such as AWS, Snowflake etc</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights</li><li>Architect and implement large scale data intelligence solutions around various warehouse solutions by various technologies</li><li>Understand data transformation and translation requirements and which tools to leverage to get the job done</li><li>Developing ETL pipelines in and out of data warehouse using a combination of Python and Snowflakes Snow SQL</li><li>Provide production support for Data Warehouse issues such as data load problems, transformation, and translation problems</li><li>Translate requirements for BI and Reporting to database design</li><li>Understanding data pipelines and modern ways of automating data pipelines using cloud</li><li>Ability to build conceptual, physical and logical data models</li><li>Utilize database and web application technologies to design, develop, and evaluate innovative business intelligence tools and automate reports</li><li>Merge BI platforms with enterprise systems and applications and document models, solutions, and implementations.</li><li>Work with various internal and stakeholders including the product, data and design teams to assist with data-related technical issues.</li></ul>Qualification - Experience Requirements:<ul><li>Minimum 2 years of experience in the data engineering role is a must.</li><li>Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.</li><li>Experience building and optimizing &lsquo;big data&rsquo; data pipelines, architectures and data sets.</li><li>Data engineering experience with database-centric and pipeline-centric roles ○ Strong analytic skills related to working with unstructured datasets.</li><li>Working knowledge of message queuing, stream processing, and highly scalable &lsquo;big data&rsquo; data stores.</li><li>A solid experience and understanding of architecting, designing and operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse is a must.</li><li>Solid proficiency in data warehousing concepts (ETL, Stage/Core layer, Dimensional Modeling, Data Marts etc.) and SQL programming</li><li>Ability to capture customer requirements and translate into functional and technical solutions</li><li>Past experience in using Enterprise BI tools like PowerBI, Tableau, Oracle BI, Oracle Analytics Cloud, AWS, Azure And GCP etc.</li><li>Ability to develop technical design documentation, training and presentation material</li><li>Understanding and experience of working in an agile project environment</li><li>Highly proficient in DDL, DML, DCL, TCL, and DQL</li><li>Experience with big data tools: Apache Hadoop, Spark, Kafka, Storm, Airflow is a plus.</li><li>Experience with relational SQL and NoSQL databases.</li><li>Experience with AWS cloud services: EC2, EMR and RDS is a plus</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with relational databases and SQL?</li><li>Have you worked with big data tools like Spark, Hadoop, or Kafka?</li><li>Have you built ETL pipelines using Python and Snowflake in a production environment?</li><li>What is your Current Salary?</li><li>What is your Expected Salary?</li><li>Are you comfortable to manage your commute to Zamzama DHA Phase V?</li></ul>Work Location: In person

Data Engineer

Aspire92

AI SpecialistJob Description: The AI Specialist is responsible for implementing, managing, and optimizing AI solutions, including large language models (LLMs), to support business operations, financial analysis, and educational tools. The role focuses on leveraging AI to generate insights, automate workflows, and enhance client and internal processes.Key Responsibilities:Implement, manage, and optimize AI models and tools, including LLMs, for projects and client solutions.Collaborate with IT and cross-functional teams to integrate AI solutions effectively.Analyze data sets (financial, educational, or operational) to generate actionable insights.Develop AI-driven workflows, predictive models, and automation solutions.Stay updated on emerging AI technologies and best practices.Provide guidance, documentation, and training on AI solutions to internal teams.Maintain accurate records of AI models, experiments, and project outcomes.Requirements &amp; Qualifications:Degree in Computer Science, Data Science, Artificial Intelligence, Finance, Education, or a related field preferred.Proven experience with AI software, machine learning models, and LLMs.Familiarity with AI platforms and tools (e.g., OpenAI, Azure AI, TensorFlow, PyTorch).Experience in financial or educational environments is a plus.Strong analytical and problem-solving skills.Excellent English communication and collaboration skills.Proficiency in Microsoft Office Suite and data visualization tools (Power BI, Tableau, or similar).Comfortable working in virtual and cloud-based environments.Job Type: Full-timeWork Location: Remote

AI Consultant

IQVIA

<div>
 
 Job Overview
 
 
 
 Under guidance, performs data analytics activities related to complex business problems and issues to provide insight to decision makers. May provide analytic support for internal project teams and for external client consulting or services engagements.
 
 
 
 Essential Functions
 
 
 
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 Under guidance, performs basic quantitative or qualitative analyses to support the development of solutions for internal or external client project teams.
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 Identifies and interprets trends and patterns in datasets..
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 Creates specifications for reports and analysis based on business needs and required or available data elements.
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 May directly produce datasets and reports for analysis using existing IQVIA tools.
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 Verifies data for accuracy and completeness.
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 May manipulate and transform data to optimize analyses.
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 Performs audits of own work or that of others to ensure conformance with established procedures or to resolve routine issues.
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 May work with stand alone data systems or enterprise wide tools supporting activities such as inquiry resolution, data validation, and trend analysis.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Education:
 
 
 
 <ul>
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 Bachelor's Degree in Computer Science.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
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 At least two years with C# programming and SQL Server databases.
 </li>
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 Proficient in SQL query writing, with the ability to understand and create complex stored procedures.
 
 
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 </ul>
 
 Technical Skills
 
 
 
 <ul>
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 Proficient in data analysis using Microsoft Excel, PowerPoint, Word, and Access.
 
 
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 Collaboration
 
 
 
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 Effective team player, working willingly and efficiently within and across organizational boundaries.
 
 
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 Time Management
 
 
 
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 Strong time management skills, ensuring efficiency and productivity.
 
 
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 </ul>
 
 Communication:
 
 Demonstrated communication skills with a customer service focus.
 
 
 IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
</div>

Arpatech (Pvt.) Ltd

Key Responsibilities:Data Pipeline Engineering<ul><li>Design and build batch and near-real-time pipelines using:</li><li>Azure Fabric Data Factory</li><li>Snowflake ingestion patterns (COPY, Snowpipe, Streams, Tasks)</li><li>Implement lakehouse-style data layers:</li><li>Raw &rarr; Curated &rarr; Consumption</li><li>Manage data structures using:</li><li>Azure Fabric OneLake</li><li>Snowflake databases, schemas, and secure objects</li></ul>Data Consolidation &amp; Modeling<ul><li>Consolidate data from multiple enterprise systems into governed datasets</li><li>Apply enterprise data modeling patterns:</li><li>Conformed dimensions</li><li>Canonical fact tables</li><li>Shared reference data</li><li>Manage schema design, evolution, and versioning for long-term stability</li></ul>Data Quality &amp; Trust<ul><li>Implement data validation for completeness, consistency, and freshness</li><li>Detect and surface data quality issues early</li><li>Partner with business teams to define clear data contracts</li></ul>Platform Optimization &amp; Operations<ul><li>Optimize performance and cost across Snowflake and Fabric through:</li><li>Partitioning, clustering, and pruning</li><li>Warehouse sizing and query tuning</li><li>Support monitoring, alerting, and incident response for data pipelines</li></ul>Required Skills &amp; Experience:<ul><li>4+ years of hands-on data engineering experience</li><li>Strong SQL skills with Snowflake</li><li>Experience building pipelines in Microsoft Azure Fabric</li><li>Solid understanding of data modeling (dimensional, canonical, wide tables)</li><li>Experience integrating data from SaaS, ERP, operational, and internal systems</li><li>Familiarity with CI/CD and source-controlled data pipelines</li><li>Ability to work independently in remote, client-embedded environments</li></ul>Nice to Have:<ul><li>Experience with Microsoft Purview, Fabric governance, or Snowflake Data Sharing</li><li>Exposure to AI/ML-ready or feature datasets</li><li>Knowledge of data quality frameworks or automated testing tools</li><li>Experience in regulated or finance-heavy environments</li></ul>Location: Onsite for KHI &amp; ISB | Remote for other cities.Job Type: Full-timeWork Location: In person

Explore 632+ Data scientist in Karachi Pakistan this January. Find roles across top companies and apply now to boost your career.

632 data scientist jobs IN Karachi Pakistan

Senior Data Scientist

Data Analyst

Performance Analyst

Data Engineer

AI Consultant

Data Analyst

Data Engineer