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Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: AI Data Scientist (Offshore)</h2>
Duration: 6 Months (Extendable) 
Experience: 6&ndash;8 Years 
Location: Offshore (Remote) 
Industry: Multi-Industry (with focus on Financial Sector) 
Employment Type: Contract (6 Months - Higher possiblity for extension)<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools &mdash; leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.
This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.<h3 class="jobSectionHeader"> 
Key Responsibilities</h3><ul><li>
Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.</li><li>
Work closely with business stakeholders&mdash;especially in the financial sector&mdash;to translate complex problems into AI-driven solutions.</li><li>
Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</li><li>
Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.</li><li>
Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.</li><li>
Visualize insights and performance metrics using Looker and other BI tools.</li><li>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</li><li>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</li></ul><h3 class="jobSectionHeader"> 
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in data science, AI/ML, and analytics roles.</li><li>
Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.</li><li>
Hands-on experience with GCP ecosystem, including:<ul><li>
BigQuery (data querying and transformation)</li><li>
Vertex AI (model training, tuning, deployment)</li><li>
Dataflow / Dataproc (data processing pipelines)</li><li>
Pub/Sub (event-driven data streaming)</li><li>
GCS (Google Cloud Storage) and Looker (visualization and reporting)</li></ul></li><li>
Strong knowledge of MLOps automation and continuous deployment best practices.</li><li>
Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).</li><li>
Strong understanding of statistical modeling, feature engineering, and model performance evaluation.</li><li>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</li></ul><h3 class="jobSectionHeader"> 
Preferred Qualifications</h3><ul><li>
Experience in multi-cloud or hybrid environments.</li><li>
Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).</li><li>
Exposure to deep learning frameworks (TensorFlow, PyTorch).</li><li>
Experience in time-series forecasting, credit modeling, or financial risk analytics.</li></ul>
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AI Data Scientist

Datamatics Technologies

<div>
 
 Job Title:
 
 AI Data Scientist (Offshore)
 
 
 
 Duration:
 
 6 Months (Extendable)
 
 
 Experience:
 
 &nbsp;6&ndash;8 Years
 
 
 Location:
 
 Offshore (Remote)
 
 
 Industry:
 
 Multi-Industry (with focus on Financial Sector)
 
 
 Employment Type:
 
 Contract (6 Months - Higher possiblity for extension)
 
 
 
 Job Summary
 
 
 We are seeking a highly skilled
 
 AI Data Scientist
 
 with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the
 
 financial services domain
 
 . The ideal candidate will have strong proficiency in
 
 Python, SQL
 
 , and
 
 Google Cloud Platform (GCP)
 
 tools &mdash; leveraging platforms like
 
 BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker
 
 to deliver scalable and automated AI solutions.
 
 
 This is an exciting
 
 6-month contract role (with potential extension)
 
 focused on developing
 
 descriptive, predictive, and prescriptive models
 
 and deploying them in production using
 
 MLOps best practices
 
 .
 
 
 
 Key Responsibilities
 
 <ul>
 <li>
 
 Design and develop
 
 data science and machine learning models
 
 across descriptive, predictive, and prescriptive analytics.
 
 </li>
 <li>
 
 Work closely with business stakeholders&mdash;especially in the
 
 financial sector
 
 &mdash;to translate complex problems into AI-driven solutions.
 
 </li>
 <li>
 
 Develop and automate
 
 end-to-end ML pipelines
 
 on
 
 GCP
 
 using Vertex AI, Dataflow, Pub/Sub, and Dataproc.
 
 </li>
 <li>
 
 Implement
 
 MLOps
 
 frameworks for continuous integration, deployment, and monitoring of machine learning models.
 
 </li>
 <li>
 
 Analyze large datasets using
 
 BigQuery
 
 and other GCP-native tools for data transformation, feature engineering, and model training.
 
 </li>
 <li>
 
 Visualize insights and performance metrics using
 
 Looker
 
 and other BI tools.
 
 </li>
 <li>
 
 Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.
 
 </li>
 <li>
 
 Evaluate model performance and refine algorithms for improved accuracy and business impact.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 <ul>
 <li>
 
 
 5&ndash;8 years
 
 of professional experience in
 
 data science, AI/ML
 
 , and analytics roles.
 
 </li>
 <li>
 
 Proven expertise in
 
 Python
 
 (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and
 
 SQL
 
 for data analysis and model development.
 
 </li>
 <li>
 
 Hands-on experience with
 
 GCP ecosystem
 
 , including:
 
 <ul>
 <li>
 
 
 BigQuery
 
 (data querying and transformation)
 
 </li>
 <li>
 
 
 Vertex AI
 
 (model training, tuning, deployment)
 
 </li>
 <li>
 
 
 Dataflow / Dataproc
 
 (data processing pipelines)
 
 </li>
 <li>
 
 
 Pub/Sub
 
 (event-driven data streaming)
 
 </li>
 <li>
 
 
 GCS (Google Cloud Storage)
 
 and
 
 Looker
 
 (visualization and reporting)
 
 </li>
 </ul>
 </li>
 <li>
 
 Strong knowledge of
 
 MLOps automation
 
 and continuous deployment best practices.
 
 </li>
 <li>
 
 Experience developing models in
 
 financial services
 
 (risk scoring, fraud detection, customer analytics, forecasting, etc.).
 
 </li>
 <li>
 
 Strong understanding of
 
 statistical modeling
 
 ,
 
 feature engineering
 
 , and
 
 model performance evaluation
 
 .
 
 </li>
 <li>
 
 Excellent problem-solving and communication skills with ability to work in multi-industry environments.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 
 Experience in
 
 multi-cloud
 
 or hybrid environments.
 
 </li>
 <li>
 
 Knowledge of
 
 CI/CD pipelines
 
 for ML (GitHub Actions, Jenkins, or Cloud Build).
 
 </li>
 <li>
 
 Exposure to
 
 deep learning frameworks
 
 (TensorFlow, PyTorch).
 
 </li>
 <li>
 
 Experience in
 
 time-series forecasting
 
 ,
 
 credit modeling
 
 , or
 
 financial risk analytics
 
 .
 
 </li>
 </ul>
</div>

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:
 
 
 
 <ul>
 <li>
 Analyse weekly and monthly business performance, prepare and deliver reports for the regional leadership of GFS
 </li>
 <li>
 Use analytics to develop forecasts, measure trends and design quantifiable plans to mitigate any potential risks and establish strategic priorities
 </li>
 <li>
 Use data analytics to understand current processes, identify opportunities and develop business models
 </li>
 <li>
 Analyse and evaluate project risks and opportunities across multiple functions and design project scope, deliverables and frameworks for new initiatives
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3 to 5 years experience as a BI/Data analyst.
 </li>
 <li>
 At least a Bachelor's degree in a quantitative subject, e.g. computer science, physics, mathematics, economics, engineering or demonstrable relevant practical experience.
 </li>
 <li>
 Highly proficient in SQL.
 </li>
 <li>
 Creative in data visualization (Tableau or another modern visualization tool is a must).
 </li>
 <li>
 Competence with reproducible data analysis using Python.
 </li>
 <li>
 Strong command over the entire data analysis lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Experience using git.
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 <ul>
 <li>
 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!
 </li>
 <li>
 We love people who can develop things from scratch, own them and then work on improving them.
 </li>
 <li>
 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!
 </li>
 </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

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656 data scientist jobs IN Karachi Pakistan

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