data scientist

data analyst

data engineer

data scientist, tech

senior - data scientist

data scientist tech

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and organize structured and unstructured data from diverse sources.
 </li>
 <li>
 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
 <li>
 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
 <li>
 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
 <li>
 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
 <li>
 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
 <li>
 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
 </li>
 <li>
 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
 <li>
 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
 <li>
 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
 <li>
 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
 <li>
 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
 
 
</div>

Data Scientist

Web Applications & Data Integration Company

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics - BI Experience Must Location: College Road, Township, Lahore Job Type: Full-Time Working Hours: 9:00 PM &ndash; 6:00 AM PKT Department: Data &amp; Analytics Reports To: Data Analytics ManagerPosition OverviewWe are looking for a highly skilled Senior Data Scientist with strong expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analytics. The ideal candidate will possess exceptional analytical abilities and technical depth to manage complex datasets, develop scalable data pipelines, and extract meaningful insights that drive strategic business decisions.You will collaborate with cross-functional teams to design robust data solutions, enhance reporting infrastructure, and lead data-driven initiatives that contribute to organizational growth and operational excellence.Key Responsibilities<ul><li>Collect, process, and transform structured and unstructured data from multiple sources including logs, APIs, and databases.</li><li>Design, implement, and maintain reliable data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Develop and manage Kibana dashboards for real-time analytics, monitoring, and visualization.</li><li>Conduct in-depth analysis of large datasets to identify patterns, trends, anomalies, and actionable business insights.</li><li>Write and optimize advanced MySQL queries to support analytical reporting and decision-making.</li><li>Partner with business stakeholders to define KPIs, metrics, and analytical objectives aligned with company goals.</li><li>Contribute to machine learning or predictive analytics projects where applicable.</li><li>Document data processes, pipelines, and insights to ensure transparency and reproducibility.</li><li>Provide mentorship to junior team members and contribute to overall data governance and quality initiatives.</li></ul>Required Qualifications<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical position.</li><li>Proven hands-on experience with the ELK Stack (Elasticsearch, Logstash, Kibana) in production environments.</li><li>Advanced proficiency in SQL with strong experience in MySQL optimization for large-scale queries.</li><li>Proficient in Python or R for data analysis and automation.</li><li>Solid understanding of data modeling, ETL processes, and data warehousing.</li><li>Excellent analytical thinking and the ability to communicate insights effectively to both technical and non-technical audiences.</li></ul>Preferred Skills<ul><li>Experience with big data tools such as Apache Spark or Hadoop.</li><li>Familiarity with cloud platforms (especially AWS) and their data/log management services.</li><li>Exposure to machine learning and predictive modeling techniques.</li><li>Domain knowledge in finance, healthcare, e-commerce, or SaaS industries (preferred but not mandatory).</li></ul>Why Join Us?Be part of a fast-paced, data-driven team where your expertise will help shape business strategy and drive operational excellence. If you&rsquo;re passionate about leveraging data to uncover insights and lead innovation in analytics and log intelligence, we&rsquo;d love to hear from you.Job Type: Full-timeJob Type: Full-timeWork Location: In person

Sr. Data Analyst - BI Experience is a MUST

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Senior Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid) 
 
Job Description: 
 
NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights. 
 
Requirements:</h4><ul><li>
8+ years of overall professional experience.</li><li>
Expertise in data processing, visualization, and structuring.</li><li>
Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.</li><li>
Strong experience in designing and implementing sophisticated predictive models.</li><li>
Proficiency in Python, SQL, and other relevant programming languages and tools.</li><li>
Experience in managing teams and executing complex projects.</li><li>
Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.</li><li>
Proven track record of driving business outcomes through data-driven decision-making.</li><li>
Experience in using LLMs (Large Language Models).</li></ul><h3 class="jobSectionHeader">
Responsibilities:</h3><ul><li>
Develop a deep understanding of the business domain.</li><li>
Gain comprehensive knowledge of customer&rsquo;s data.</li><li>
Build predictive reports from databases to aid in decision-making.</li><li>
Write scripts and queries to extract data, perform data processing, and create visualizations/reports.</li><li>
Assist in organizing and testing GenAI and other AI-related projects.</li><li>
Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.</li><li>
Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.</li><li>
Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.</li><li>
Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.</li><li>
Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.</li><li>
Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.</li></ul> 
If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
gLfHZYLiqg</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Senior Data Scientist
 
 
 
 Location:
 
 Lahore
 
 
 
 Job Type:
 
 Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is looking for a highly experienced Data Scientist to join our team. The ideal candidate will have 8+ years of professional experience in data science, with a focus on data processing, visualization, and structuring. The candidate should have a proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets, and the ability to design and implement sophisticated predictive models to refine forecasting engines. Strong analytical and communication skills are essential for this role, as you will be working closely with various stakeholders to understand business needs and deliver data-driven insights.
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of overall professional experience.
 </li>
 <li>
 Expertise in data processing, visualization, and structuring.
 </li>
 <li>
 Proven track record in leveraging advanced analytics techniques to extract actionable insights from complex datasets.
 </li>
 <li>
 Strong experience in designing and implementing sophisticated predictive models.
 </li>
 <li>
 Proficiency in Python, SQL, and other relevant programming languages and tools.
 </li>
 <li>
 Experience in managing teams and executing complex projects.
 </li>
 <li>
 Excellent communication and collaboration skills, with the ability to translate complex technical concepts into actionable insights for stakeholders.
 </li>
 <li>
 Proven track record of driving business outcomes through data-driven decision-making.
 </li>
 <li>
 Experience in using LLMs (Large Language Models).
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop a deep understanding of the business domain.
 </li>
 <li>
 Gain comprehensive knowledge of customer&rsquo;s data.
 </li>
 <li>
 Build predictive reports from databases to aid in decision-making.
 </li>
 <li>
 Write scripts and queries to extract data, perform data processing, and create visualizations/reports.
 </li>
 <li>
 Assist in organizing and testing GenAI and other AI-related projects.
 </li>
 <li>
 Design and implement sophisticated predictive models to refine forecasting engines, aiming for a significant reduction in forecasting errors and revolutionizing decision-making processes across the organization.
 </li>
 <li>
 Conduct continuous improvement initiatives to enhance process efficiency, including introducing data monitoring tools to improve error detection and reduce processing delays.
 </li>
 <li>
 Translate complex business needs into actionable technical specifications, collaborating with stakeholders to ensure alignment and successful implementation.
 </li>
 <li>
 Research cutting-edge, open-source models to align with product requirements, benchmark performance against industry standards, and integrate top-performing models to enhance product functionality and user experience significantly.
 </li>
 <li>
 Conduct the training of a diverse range of models spanning Object Segmentation, Tracking, Detection, Multi-Class Classification, OCR, and Statistical Models, aiming for a notable improvement in model accuracy.
 </li>
 <li>
 Construct a robust integration architecture and automated pipeline to enhance data model performance, aiming for a decrease in processing time and enabling rapid decision-making for stakeholders in the technology sector.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited about leveraging data to drive business decisions, we encourage you to apply. Join our team and contribute to the innovative projects shaping our future!
</div>

CHROMEIS

<div><h4 class="jobSectionHeader">Overview:</h4>

We are seeking a versatile Data Scientist who is adept at extracting insights from complex data and translating them into actionable recommendations. This role blends data exploration, statistical analysis, predictive modeling, and data visualization to support informed decision-making. The ideal candidate is comfortable with a range of analytical tools and techniques, possesses strong problem-solving skills, and can clearly communicate findings to both technical and non-technical audiences.
<h4 class="jobSectionHeader">
Key Responsibilities:</h4>
<ul><li>Analyze diverse datasets to understand patterns, customer behavior, and trends.</li>
<li>Clean, manipulate, and preprocess data to ensure accuracy and reliability.</li>
<li>Apply statistical methods and probability concepts to test hypotheses and validate results.</li>
<li>Develop and implement machine learning models to predict outcomes and support business strategies.</li>
<li>Design and create clear, compelling visualizations to effectively communicate data-driven insights.</li>
<li>Write and review code (in languages such as Python, R, or similar) to automate data analysis and ensure efficiency in data processing.</li>
<li>Formulate and execute basic SQL queries to extract data from relational databases.</li>
<li>Utilize logical reasoning and critical thinking to solve complex problems and optimize analytical approaches.</li>
<li>Document methodologies and outcomes in clear, concise reports and presentations.</li>
</ul><h4 class="jobSectionHeader">Required Skills and Qualifications:</h4>
<ul><li>Strong foundation in data science principles, including data manipulation, cleaning, and visualization.</li>
<li>Proficiency in statistical analysis and familiarity with probability concepts.</li>
<li>Experience with fundamental machine learning techniques and model building.</li>
<li>Competency in basic coding for data science tasks and solving practical problems.</li>
<li>Ability to write efficient SQL queries and navigate relational databases.</li>
<li>Excellent logical reasoning and analytical skills.</li>
<li>Strong written and verbal communication abilities to clearly explain technical concepts.</li>
</ul>
This role offers an opportunity to contribute to data-driven strategies and advance analytical methodologies in a dynamic environment. If you are passionate about leveraging data insights to solve practical challenges and drive impactful decisions, we would love to hear from you.
<h4 class="jobSectionHeader">
Application Process:</h4>
<div><ul><li>Please send your resume to [careers@chromeis.com] with a relevant subject line.</li></ul>
<ul><li>If your resume is shortlisted, you will be invited to take an online AI-based assessment.</li></ul>
<ul><li>Candidates who pass this test will move on to the next stage: an on-call interview with the end client.</li></ul>
<ul><li>Successful candidates from all rounds will receive an offer based on the initial discussion during the first call.</li></ul></div></div>

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1159 data scientist tech jobs IN Lahore

Data Scientist, Tech

Data Scientist, Tech

Data Scientist

Sr. Data Analyst - BI Experience is a MUST

Senior - Data Scientist

Senior - Data Scientist

Data Scientist