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analytical data scientist

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

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>

Jeeny

<div>
 
 About Jeeny:
 
 
 
 Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all.
 
 
 We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan.
 
 
 We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi.
 
 
 
 Job Brief:
 
 
 
 As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You'll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Explore, clean, and analyze high-volume datasets
 </li>
 <li>
 Develop predictive models
 </li>
 <li>
 Build dashboards and automated reports to track marketplace health
 </li>
 <li>
 Work with product and operations teams to define data requirements and design A/B experiments
 </li>
 <li>
 Implement and monitor machine learning models in production with guidance from senior team members
 </li>
 <li>
 Document methodologies, code, and analysis for reproducibility and knowledgesharing
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
 </li>
 <li>
 At least 2 years of relevant experience
 </li>
 <li>
 Strong Python (pandas, numpy, scikit-learn etc)
 </li>
 <li>
 Solid understanding of statistics, probability, and hypothesis testing
 </li>
 <li>
 Familiarity with SQL and relational databases
 </li>
 <li>
 Exposure to machine learning concepts and practical modeling projects
 </li>
 <li>
 Excellent problem-solving and communication skills
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark)
 </li>
 <li>
 Knowledge of geospatial analysis or real-time data streaming
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 What we offer:
 
 
 
 <ul>
 <li>
 Market Competitive Salary 💰 Hit the ground running with a salary that reflects your worth in today's market
 </li>
 <li>
 Learn &amp; Grow 📚 Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth
 </li>
 <li>
 International Exposure 🌍 Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one
 </li>
 <li>
 Health Insurance 🏥 Full health coverage so you can focus on your goals with peace of mind
 </li>
 <li>
 OPD Coverage 🏥 Outpatient visits? We've got that covered for you
 </li>
 <li>
 End of Service Benefit 💼 Loyalty pays off, long-term service comes with financial rewards
 </li>
 <li>
 Dollar Adjustment Allowance 💲 With our dollar adjustment allowance, you can stay ahead of inflation. You're protected against currency fluctuations, so your compensation stays consistent and fair
 </li>
 <li>
 Internet Allowance 🌐 Work, stream, and stay in the loop with monthly internet support, whether you're learning, working, or just vibing
 </li>
 <li>
 Fuel Allowance ⛽ Fuel your daily grind with a monthly fuel allowance
 </li>
 <li>
 Learning &amp; Development Allowance 🎓 Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer
 
 
 </li>
 </ul>
 
 Company Culture
 
 
 
 Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.
</div>

<div>About Jeeny: 
Jeeny is a mobile application that eases daily commuting and transportation. By connecting you with your preferred mode of transportation, we are fulfilling our aim of making mobility accessible, affordable, and flexible for all. 
We are a joint venture between MEIG (Middle East Internet Group), Rocket Internet, and IMENA. Jeeny was established in 2014 as Easy Taxi. However, in 2016, it was revamped as Jeeny to cater to other services. Currently, we are operational in Saudi Arabia and Jordan. 
We have offices in Riyadh, Jeddah, Madinah, Dammam, Khobar, Amman, Lahore, and Karachi. 
 
Job Brief: 
As a Data Scientist, you will help transform large volumes of real-time mobility and transactional data into insights that drive operational efficiency across our ride-hailing platform. You&rsquo;ll work alongside experienced data scientists and engineers to build, test, and deploy data-driven solutions that improve rider and driver experiences. 
 
Responsibilities:<ul>
<li>
Explore, clean, and analyze high-volume datasets.</li>
<li>Develop predictive models</li>
<li>Build dashboards and automated reports to track marketplace health</li>
<li>Work with product and operations teams to define data requirements and design A/B experiments.</li>
<li>Implement and monitor machine learning models in production with guidance from senior team members.</li>
<li>Document methodologies, code, and analysis for reproducibility and knowledgesharing.</li>
</ul>
Requirements<ul>
<li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, or a related field.</li>
<li>At least 2 years of relevant experience.</li>
<li>Strong Python (pandas, numpy, scikit-learn etc).</li>
<li>Solid understanding of statistics, probability, and hypothesis testing.</li>
<li>Familiarity with SQL and relational databases.</li>
<li>Exposure to machine learning concepts and practical modeling projects.</li>
<li>Excellent problem-solving and communication skills.</li>
</ul>
Nice to Have<ul>
<li>
Experience with cloud platforms (AWS/GCP/Azure/Snowflake) and data pipelines (Airflow, Spark).</li>
<li>Knowledge of geospatial analysis or real-time data streaming.</li>
</ul>
Benefits
What we offer:<ul>
<li>
Market Competitive Salary 
Hit the ground running with a salary that reflects your worth in today&rsquo;s market.</li>
<li>Learn &amp; Grow 
Level up with real-world projects, cross-functional job rotations, hands-on mentorship, and expert-led sessions tailored to your growth.</li>
<li>International Exposure 
Collaborate across borders with teams in KSA, Jordan, Pakistan, and UAE&mdash;experience a global career from day one.</li>
<li>Health Insurance 
Full health coverage so you can focus on your goals with peace of mind.</li>
<li>OPD Coverage 
Outpatient visits? We&rsquo;ve got that covered for you.</li>
<li>End of Service Benefit 
Loyalty pays off, long-term service comes with financial rewards.</li>
<li>Dollar Adjustment Allowance 
With our dollar adjustment allowance, you can stay ahead of inflation. You&rsquo;re protected against currency fluctuations, so your compensation stays consistent and fair.</li>
<li>Internet Allowance 
Work, stream, and stay in the loop with monthly internet support, whether you&rsquo;re learning, working, or just vibing.</li>
<li>Fuel Allowance 
Fuel your daily grind with a monthly fuel allowance.</li>
<li>Learning &amp; Development Allowance 
Get a yearly budget for certifications, courses, or training&mdash;because investing in you is a no-brainer.</li></ul> 

Company Culture 
Jeeny is an equal opportunity employer. We are committed to providing a workplace where all aspects of employment are solely based on merit. We value diversity and absolutely do not discriminate in any form based on race, color, ethnicity, nationality, religion, gender, age, or mental or physical disability.</div>

HiredSupport

THIS IS AN OFFICE-BASED JOB. NOT REMOTEWho we are:HiredSupport is a USA-based outsourcing firm specializing in customer service. We build superior support systems for clients all over the world, obsessing over every little detail to deliver truly outstanding experiences to our clients' customers. We&rsquo;re expanding our services to include the training of AI models, with a focus on video content analysis.Already ranked as one of the top Outsourcing companies in Pakistan on Clutch.co, we are looking for bright, motivated, and loyal people to help us reach us new heights.What we&rsquo;re looking for:We are seeking detail-oriented Data Annotators specializing in video annotation to join our team. As a Data Annotator, you will play a critical role in labeling, examining, and annotating video clips to assist computer vision systems. You will be responsible for accurately and efficiently analyzing video data and applying manual annotations based on a number of scenarios including but not limited to: identifying behavior, actions, objects, and other elements as required. Strong attention to detail is an absolute must.This is an on-site position, so if you can only work remotely, this job is not for you.Our requirements:<ul><li>Proven experience in video annotation, preferably in a professional or research environment. Any experience with object detection or tracking is a bonus.</li><li>Strong and clear verbal English communication for voice calls with the client.</li><li>Proficiency in working with various video file formats and platforms.</li><li>Excellent attention to detail and ability to maintain accuracy while working with large volumes of data.</li><li>Strong problem-solving skills and the ability to quickly learn new concepts and adapt to changing requirements.</li><li>Effective communication skills to collaborate with team members and provide clear and concise feedback.</li><li>Ability to work independently, manage time effectively, and meet project deadlines.</li><li>Familiarity with Google Sheets and Excel.</li></ul>Responsibilities:<ul><li>Review and understand annotation guidelines provided with a thorough understanding of subject matter and terminologies after the initial training period.</li><li>Annotate video clips by identifying and labeling objects, actions, events, and other relevant elements using the specified annotation tools and techniques.</li><li>Collaborate with the project team to resolve annotation-related queries and provide clarifications when needed.</li><li>Identify and report any issues or inconsistencies in the data or annotation guidelines to ensure data quality and integrity.</li><li>Maintain high productivity and efficiency while ensuring the accuracy and quality of annotations.</li><li>Keep track of progress and manage assigned annotation tasks within specified deadlines.</li><li>Adapt to evolving annotation methodologies and tools, incorporating feedback and improving annotation techniques as required.</li><li>Participate in regular meetings or discussions to share insights, learnings, and best practices with the team.</li><li>Contribute to the development and improvement of annotation processes and workflows to enhance efficiency and scalability.</li></ul>What we offer:<ul><li>A monthly salary of 40k PKR.</li><li>Work for 5 days with 2 offs per week. Those 2 off days will be decided by the client.</li><li>A comfortable office equipped with Xbox Series X, Table Tennis, and Foosball to help you unwind and recharge</li><li>A laid-back atmosphere built on trust, free of micromanagement</li><li>A front-row seat to the latest tools, trends, and methodologies in the training of Artificial Intelligence models.</li><li>Mentorship from people who&rsquo;ve seen and done it all</li></ul>How to apply:Apply through Indeed. You will be contacted via email or phone for an in-person interview in the office and will be provided further details upon passing the interview.We are an equal-opportunity employer committed to making all employment decisions based on merit &amp; capability. We value talent and are committed to our team&rsquo;s happiness &amp; career growth. If you consider yourself a good fit, don&rsquo;t hesitate to apply.Job Type: Full-timePay: Rs40,000.00 per monthApplication Question(s):<ul><li>This is not a remote job. Would you be able to commute to and from our office in Model Town, Lahore?</li></ul><ul><li>Are you available to work from the office in any shift (morning, evening, or night)?</li></ul>Work Location: In person

Data Annotators

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

Job Title: Senior Data Scientist &ndash; ELK Stack &amp; Analytics 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 ManagerJob Overview: We are seeking a Senior Data Scientist with deep expertise in the ELK Stack (Elasticsearch, Logstash, Kibana), MySQL query optimization, and big data analysis. This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You&rsquo;ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.Key Responsibilities:<ul><li>Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.</li><li>Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch.</li><li>Build and maintain Kibana dashboards for real-time visualization and analytics.</li><li>Analyze large-scale datasets to identify trends, anomalies, and actionable insights.</li><li>Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs.</li><li>Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.</li><li>Support development of machine learning models or predictive analytics where applicable.</li><li>Document processes, pipelines, and findings for knowledge sharing and reproducibility.</li><li>Mentor junior team members and contribute to data governance and quality initiatives.</li></ul>Required Qualifications:<ul><li>Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related discipline.</li><li>Minimum 4 years of experience in data science, analytics, or a similar technical role.</li><li>Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment.</li><li>Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries.</li><li>Experience in Python or R for data analysis and scripting.</li><li>Strong foundation in data modeling, ETL pipelines, and data warehousing.</li><li>Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.</li></ul>Preferred Skills:<ul><li>Experience with big data technologies (e.g., Apache Spark, Hadoop).</li><li>Familiarity with cloud platforms like AWS, especially their data and log services is preferred</li><li>Knowledge of machine learning, predictive modeling</li><li>Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required</li></ul>Ready to lead cutting-edge analytics and log intelligence? Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence.Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This is night time position 9pm to 6am. Are you willing to proceed?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Analyst: 3 years (Preferred)</li></ul>Work Location: In person

Senior Data Analyst - BI Experience is MUST

Explore 1297+ Analytical data scientist in Lahore this November. Find roles across top companies and apply now to boost your career.

1297 analytical data scientist jobs IN Lahore

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Annotators

Sr. Data Analyst - BI Experience is a MUST

Senior Data Analyst - BI Experience is MUST