data scientist

data engineer

data analyst

aws data engineer

senior ai engineer

ai data scientist

Datamatics Technologies

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


AI Data Scientist

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader"><b>Job Title:</b><b> AI Data Scientist (Offshore)</b></h2><p><b>
Duration:</b> 6 Months (Extendable)<br>
<b>Experience:</b> 6&ndash;8 Years<br>
<b>Location:</b> Offshore (Remote)<br>
<b>Industry:</b> Multi-Industry (with focus on Financial Sector)<br>
<b>Employment Type:</b> Contract (6 Months - Higher possiblity for extension)</p><p></p><h3 class="jobSectionHeader"><b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>AI Data Scientist</b> with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the <b>financial services domain</b>. The ideal candidate will have strong proficiency in <b>Python, SQL</b>, and <b>Google Cloud Platform (GCP)</b> tools &mdash; leveraging platforms like <b>BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker</b> to deliver scalable and automated AI solutions.</p><p>
This is an exciting <b>6-month contract role (with potential extension)</b> focused on developing <b>descriptive, predictive, and prescriptive models</b> and deploying them in production using <b>MLOps best practices</b>.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>data science and machine learning models</b> across descriptive, predictive, and prescriptive analytics.</p></li><li><p>
Work closely with business stakeholders&mdash;especially in the <b>financial sector</b>&mdash;to translate complex problems into AI-driven solutions.</p></li><li><p>
Develop and automate <b>end-to-end ML pipelines</b> on <b>GCP</b> using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</p></li><li><p>
Implement <b>MLOps</b> frameworks for continuous integration, deployment, and monitoring of machine learning models.</p></li><li><p>
Analyze large datasets using <b>BigQuery</b> and other GCP-native tools for data transformation, feature engineering, and model training.</p></li><li><p>
Visualize insights and performance metrics using <b>Looker</b> and other BI tools.</p></li><li><p>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</p></li><li><p>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Required Skills &amp; Qualifications</b></h3><ul><li><p><b>
5&ndash;8 years</b> of professional experience in <b>data science, AI/ML</b>, and analytics roles.</p></li><li><p>
Proven expertise in <b>Python</b> (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and <b>SQL</b> for data analysis and model development.</p></li><li><p>
Hands-on experience with <b>GCP ecosystem</b>, including:</p><ul><li><p><b>
BigQuery</b> (data querying and transformation)</p></li><li><p><b>
Vertex AI</b> (model training, tuning, deployment)</p></li><li><p><b>
Dataflow / Dataproc</b> (data processing pipelines)</p></li><li><p><b>
Pub/Sub</b> (event-driven data streaming)</p></li><li><p><b>
GCS (Google Cloud Storage)</b> and <b>Looker</b> (visualization and reporting)</p></li></ul></li><li><p>
Strong knowledge of <b>MLOps automation</b> and continuous deployment best practices.</p></li><li><p>
Experience developing models in <b>financial services</b> (risk scoring, fraud detection, customer analytics, forecasting, etc.).</p></li><li><p>
Strong understanding of <b>statistical modeling</b>, <b>feature engineering</b>, and <b>model performance evaluation</b>.</p></li><li><p>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h3><ul><li><p>
Experience in <b>multi-cloud</b> or hybrid environments.</p></li><li><p>
Knowledge of <b>CI/CD pipelines</b> for ML (GitHub Actions, Jenkins, or Cloud Build).</p></li><li><p>
Exposure to <b>deep learning frameworks</b> (TensorFlow, PyTorch).</p></li><li><p>
Experience in <b>time-series forecasting</b>, <b>credit modeling</b>, or <b>financial risk analytics</b>.</p></li></ul><p>
</p><p>RE2l5yQYY6</p></div>

<div><h2 class="jobSectionHeader"><b>Job Title:</b><b> AI Data Scientist (Offshore)</b></h2><p><b>
Duration:</b> 6 Months (Extendable)<br>
<b>Experience:</b> 6&ndash;8 Years<br>
<b>Location:</b> Offshore (Remote)<br>
<b>Industry:</b> Multi-Industry (with focus on Financial Sector)<br>
<b>Employment Type:</b> Contract (6 Months - Higher possiblity for extension)</p><p></p><h3 class="jobSectionHeader"><b>
Job Summary</b></h3><p>
We are seeking a highly skilled <b>AI Data Scientist</b> with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the <b>financial services domain</b>. The ideal candidate will have strong proficiency in <b>Python, SQL</b>, and <b>Google Cloud Platform (GCP)</b> tools &mdash; leveraging platforms like <b>BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker</b> to deliver scalable and automated AI solutions.</p><p>
This is an exciting <b>6-month contract role (with potential extension)</b> focused on developing <b>descriptive, predictive, and prescriptive models</b> and deploying them in production using <b>MLOps best practices</b>.</p><h3 class="jobSectionHeader"><b><br>
Key Responsibilities</b></h3><ul><li><p>
Design and develop <b>data science and machine learning models</b> across descriptive, predictive, and prescriptive analytics.</p></li><li><p>
Work closely with business stakeholders&mdash;especially in the <b>financial sector</b>&mdash;to translate complex problems into AI-driven solutions.</p></li><li><p>
Develop and automate <b>end-to-end ML pipelines</b> on <b>GCP</b> using Vertex AI, Dataflow, Pub/Sub, and Dataproc.</p></li><li><p>
Implement <b>MLOps</b> frameworks for continuous integration, deployment, and monitoring of machine learning models.</p></li><li><p>
Analyze large datasets using <b>BigQuery</b> and other GCP-native tools for data transformation, feature engineering, and model training.</p></li><li><p>
Visualize insights and performance metrics using <b>Looker</b> and other BI tools.</p></li><li><p>
Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.</p></li><li><p>
Evaluate model performance and refine algorithms for improved accuracy and business impact.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Required Skills &amp; Qualifications</b></h3><ul><li><p><b>
5&ndash;8 years</b> of professional experience in <b>data science, AI/ML</b>, and analytics roles.</p></li><li><p>
Proven expertise in <b>Python</b> (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and <b>SQL</b> for data analysis and model development.</p></li><li><p>
Hands-on experience with <b>GCP ecosystem</b>, including:</p><ul><li><p><b>
BigQuery</b> (data querying and transformation)</p></li><li><p><b>
Vertex AI</b> (model training, tuning, deployment)</p></li><li><p><b>
Dataflow / Dataproc</b> (data processing pipelines)</p></li><li><p><b>
Pub/Sub</b> (event-driven data streaming)</p></li><li><p><b>
GCS (Google Cloud Storage)</b> and <b>Looker</b> (visualization and reporting)</p></li></ul></li><li><p>
Strong knowledge of <b>MLOps automation</b> and continuous deployment best practices.</p></li><li><p>
Experience developing models in <b>financial services</b> (risk scoring, fraud detection, customer analytics, forecasting, etc.).</p></li><li><p>
Strong understanding of <b>statistical modeling</b>, <b>feature engineering</b>, and <b>model performance evaluation</b>.</p></li><li><p>
Excellent problem-solving and communication skills with ability to work in multi-industry environments.</p></li></ul><h3 class="jobSectionHeader"><b><br>
Preferred Qualifications</b></h3><ul><li><p>
Experience in <b>multi-cloud</b> or hybrid environments.</p></li><li><p>
Knowledge of <b>CI/CD pipelines</b> for ML (GitHub Actions, Jenkins, or Cloud Build).</p></li><li><p>
Exposure to <b>deep learning frameworks</b> (TensorFlow, PyTorch).</p></li><li><p>
Experience in <b>time-series forecasting</b>, <b>credit modeling</b>, or <b>financial risk analytics</b>.</p></li></ul><p>
</p><p>i6GpPhb9iD</p></div>

<div></div><div><div><div><div><ul><div>3 - 5 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore, Hyderabad</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><p>Role: Data Engineering &amp; AI Specialist We are seeking an experienced Data Engineering and AI Data Science and professional with deep expertise across the full data stack, and cutting-edge Agentic AI systems. Required Technical Expertise: Programming &amp; Scripting Languages:</p>
<ul><li>Advanced proficiency in Python, R, Spark, SQL, PL/SQL, and UNIX Shell Scripting</li></ul>
<ul><li>Strong skills in building AI/ML pipelines and agent-based architectures Data and Datawarehouse technologies</li></ul>
<ul><li>Expert-level experience with Teradata, Greenplum, Oracle 11g, SQL Server, PostgreSQL, Azure Data Lake Storage, and Snowflake</li></ul>
<ul><li>Extensive experience with Informatica PowerCenter, Informatica Intelligent Cloud Services (IICS), StreamSets, and Apache Kafka</li></ul>
<ul><li>Proven expertise in Azure Databricks for large-scale data processing and ML operations</li></ul>
<ul><li>Familiarity with Snowflake cloud data warehouse</li></ul>
<ul><li>Proficient in NumPy, Pandas, Matplotlib, GGplot, Dplyr, Scikit-learn, and Deequ for data analysis, visualization, and quality validation</li></ul>
<p>
&bull; Experience with deep learning frameworks (TensorFlow, PyTorch) for agent model development &bull; Hands-on experience with Apache Airflow, Informatica Workflow Manager, Control-M, and StreamSets Data Collector &bull; Experience orchestrating multi-step AI agent workflows and autonomous task execution &bull; Strong command of Windows, UNIX, and Linux environments &bull; Proficient with ServiceNow, Team Foundation Server (TFS), CI/CD pipelines, GitHub, Jira, Microsoft SharePoint, Salesforce (SFDC), Power BI, Tableau, SAP, and Qlik Sense &bull; Experience with MLOps tools and agent monitoring platforms &bull; Design and implementation of autonomous AI agents and multi-agent systems &bull; Experience with LLM-based agents, reasoning frameworks, and tool-use patterns &bull; Development of AI agents with planning, memory, and decision-making capabilities &bull; Integration of AI agents with external tools, APIs, and data sources &bull; Prompt engineering and chain-of-thought reasoning for complex task decomposition</p>
<p>
&bull; Experience with retrieval-augmented generation (RAG) and vector databases &bull; Knowledge of agent orchestration, monitoring, and evaluation frameworks</p>
<ul><li>Master&rsquo;s degree in data science/data engineering or similar fields</li></ul>
<ul><li>5+ years&rsquo; experience</li></ul>
<ul><li>Proven record on capabilities related Global enterprise applications</li></ul></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>Python,Pyspark,Etl Tools</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Engineer(Python, Pyspark, Oracle, ETL)

Tata Consultancy Services (TCS)

<div></div><div><div><div><p><div><div><div><div><p>Required Technical Skill Set**</p><br>
</div><div><p>The candidate in this position,</p>
<p>1. 5+ years of hands on experience as Data scientist</p>
<p>2. Good experience with LLMs</p>
<p>3. Hands on experience of ML/NLP/Deep Learning and Gen AI concepts</p>
<p>4. Good knowledge of Python programming and ML Ops</p>
<p>5. Good understanding of Azure AI foundry services</p>
<p>6. Should have knowledge of GenAI concepts, theories, and models</p><br>
</div></div><br>
</div></div></p></div></div><p></p><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>382840</div>
</div><div><div><b>Desired Skills</b></div>
<div>Artificial Intelligence | NLP | Data scientist | Machine Intelligence</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Data Science

NICON Group of Colleges

<ul><li><b>Bachelor&rsquo;s degree</b> in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.</li><li><b>2 years of hands-on experience</b> working as a data scientist or in a related role (e.g., data analyst, machine learning engineer, or AI specialist).</li><li><b>Certified Data Scientist (CDS)</b> or other related certifications from recognized institutions.</li><li>Certifications in <b>machine learning</b>, <b>big data</b>, <b>AI</b>, or <b>deep learning</b> (e.g., from Coursera, edX, Google, IBM, or Microsoft).</li><li>It's a commission-based job.</li></ul><p><b>Skills &amp; Competencies:</b></p><ul><li>Proficiency in <b>data manipulation</b> using libraries like <b>Pandas</b>, <b>NumPy</b>, <b>Matplotlib</b>, and <b>Seaborn</b>.</li><li>In-depth understanding of <b>machine learning algorithms</b>, including supervised and unsupervised learning (e.g., regression, classification, clustering, neural networks).</li><li>Experience with <b>deep learning</b>, <b>natural language processing (NLP)</b>, or <b>reinforcement learning</b> (depending on the level of courses).</li><li>Strong ability to <b>simplify complex concepts</b> and explain technical topics clearly to learners of various skill levels.</li></ul><p><b>Key Responsibilities:</b></p><ul><li>Course Delivery and Training</li><li>Curriculum and Content Development</li><li>Student Performance Management</li><li>Student Performance Management</li></ul><p>Job Type: Full-time</p><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Training: 2 years (Preferred)</li></ul><p>Location:</p><ul><li>Rawalpindi (Preferred)</li></ul><p>Work Location: In person</p>

Data Science Trainer

Explore 3196+ Ai data scientist in Pakistan this December. Find roles across top companies and apply now to boost your career.

3196 ai data scientist jobs IN Pakistan

AI Data Scientist

AI Data Scientist

AI Data Scientist

AI Data Scientist

Data Engineer(Python, Pyspark, Oracle, ETL)

Data Science

Data Science Trainer