senior data engineer

senior business analyst

business analyst

data engineer

data scientist

senior data scientist

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 3 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>

Data Scientist

<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 3 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>

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

HireOn

<div>
 
 Employment Type:
 
 Full-Time | Permanent
 
 
 
 Location:
 
 Pakistan (Lahore / Karachi / Islamabad) &ndash; Hybrid
 
 
 
 About The Opportunity
 
 
 
 
 HireOn
 
 is hiring on behalf of a
 
 reputed international client
 
 seeking a
 
 Principal Data Engineer
 
 to play a pivotal role in building and scaling a next-generation cloud data platform.
 
 
 This position focuses on designing and delivering
 
 high-performance data pipelines and warehouse solutions on Amazon Redshift
 
 , enabling faster analytics, improved reliability, and scalable data operations.
 
 
 You will take ownership of
 
 architecting data workflows, optimizing processing performance, and implementing production-grade orchestration
 
 , while collaborating with cross-functional teams to drive data-driven outcomes.
 
 
 
 Key Requirements (Must-Have First)
 
 
 
 <ul>
 <li>
 6 to 8+ years of experience in data engineering, data platforms, or data warehousing
 </li>
 <li>
 Advanced expertise in Amazon Redshift, including performance tuning, workload optimization, and MPP architecture
 </li>
 <li>
 Strong hands-on experience with Apache Airflow (MWAA preferred) for workflow orchestration
 </li>
 <li>
 Proficiency in SQL and Python for building scalable data pipelines
 </li>
 <li>
 Solid experience with cloud-based data ecosystems on AWS (S3, Lambda, CloudWatch, DMS)
 </li>
 <li>
 Deep understanding of data modeling, ETL/ELT frameworks, and large-scale data processing
 </li>
 <li>
 Proven ability to design high-performance, distributed data pipelines
 </li>
 <li>
 Experience leading engineering efforts, including code reviews, mentoring, and technical decision-making
 </li>
 <li>
 Strong knowledge of query optimization, parallel processing, and data pipeline efficiency
 
 
 </li>
 </ul>
 
 
 Core Technical Skills
 
 
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Amazon Redshift (Provisioned / Serverless)
 </li>
 <li>
 MPP data processing concepts
 </li>
 <li>
 Apache Airflow (MWAA)
 </li>
 <li>
 Advanced SQL &amp; performance tuning
 </li>
 <li>
 Python for data engineering
 </li>
 <li>
 Data modeling &amp; warehousing concepts
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 AWS services (S3, Lambda, DMS, Aurora PostgreSQL)
 </li>
 <li>
 CI/CD pipelines &amp; Git-based workflows
 </li>
 <li>
 Linux/Unix environments
 </li>
 <li>
 Experience with large-scale, distributed data systems
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 Highly optimized and scalable data pipelines running on Redshift
 </li>
 <li>
 Reliable orchestration with minimal downtime and strong observability
 </li>
 <li>
 Efficient handling of large datasets with improved query performance
 </li>
 <li>
 Well-architected data platform aligned with modern engineering standards
 
 
 </li>
 </ul>
 
 
 Why Join Through HireOn
 
 
 
 
 <ul>
 <li>
 Opportunity to work with a globally recognized client on high-impact data initiatives
 </li>
 <li>
 Exposure to modern cloud data technologies and large-scale systems
 </li>
 <li>
 Hybrid work flexibility within Pakistan
 </li>
 <li>
 Career growth into data architecture and platform leadership roles
 
 
 </li>
 </ul>
 Skills: apache airflow,python,plsql,aws,amazon redshift
</div>

Principal Data Engineer – AWS Redshift & Data Platforms

World Business Lenders, LLC

<div>About World Business Lenders (www.wbl.com) 
 
World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.
Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.
We&rsquo;re looking for someone with strong communication skills in both English, both spoken and written.<ul><li>
Please note that all resumes should be submitted in English. 
</li></ul>
About the role
This role is responsible for developing predictive models and forecasting frameworks that support marketing performance, customer acquisition, and market targeting, while also contributing to broader internal data science initiatives. The position combines hands-on statistical modeling and machine learning with applied business problem-solving to drive more effective, data-driven decision-making.
The role will work closely with BI and analytics partners to ensure alignment between predictive outputs and reporting, helping translate model results (e.g., lead scoring, conversion propensity, and forecasting) into actionable insights. In parallel, this individual will support internal data science and modeling efforts, contributing to the development of proprietary analytics capabilities. The role is expected to initially focus on marketing-related modeling and progressively expand into deeper data science work over time.
This position requires a solution-oriented mindset &mdash; someone who takes ownership, challenges assumptions, and actively improves processes rather than simply executing tasks.
This role is designated at the Analyst level.
Key Responsibilities:<ul><li>
Develop, validate, and maintain predictive models including lead scoring, conversion propensity, and funnel optimization</li><li>
Develop tiering models to prioritize leads by conversion probability</li><li>
Build forecasting frameworks for lead volume, conversion rates, and pipeline or revenue projections</li><li>
Build channel performance models to optimize budget allocation across paid search, email, ISO partners, etc.</li><li>
Monitor model performance and iterate to improve accuracy and business impact</li><li>
Develop models to evaluate and prioritize markets based on expected performance and ROI</li><li>
Analyze geographic, industry, and segment-level trends to identify growth opportunities</li><li>
Support data-driven recommendations on market targeting and resource allocation</li><li>
Support campaigns/future product launches by forecasting lead volume, conversion rates, and CAC by channel</li><li>
Design and analyze experiments (A/B testing, cohort analysis) and evaluate incremental impact</li><li>
Apply statistical and machine learning techniques to solve marketing and business problems</li><li>
Conduct deep-dive analyses to support strategic and operational decisions</li><li>
Contribute to internal data science and modeling initiatives, including proprietary or internal IP work</li><li>
Collaborate with Data Engineering to structure and prepare datasets for modeling</li><li>
Partner with BI and analytics teams to ensure model outputs are integrated into reporting and usable by stakeholders</li></ul> 

Requirements 
Required Education:
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, or related field.</li></ul> 
Required Experience:<ul><li>
3 to 7 years of experience in data science, applied modeling, or advanced analytics.</li></ul>
Required Background / Industry Experience:<ul><li>
Proven experience building and validating predictive models in a business environment</li><li>
Experience with statistical methods, machine learning techniques, and forecasting approaches</li><li>
Strong problem-solving skills and ability to translate business problems into analytical solutions</li><li>
Ability to communicate complex analytical concepts to non-technical stakeholders
</li><li>Experience with customer acquisition cost modeling and marketing ROI analysis</li></ul> 
Key Soft Skills:<ul><li>
Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.</li><li>
Collaboration: works effectively across engineering, analytics, and business teams.</li></ul> 
Technical Skills:<ul><li>
Strong proficiency in Python and SQL.</li></ul> 

Benefits 
<ul><li>
USD Base Salary.</li><li>
Enjoy Paid Time Off (PTO) after just 6 months of service.</li><li>
Full-time opportunity.</li><li>
Enjoy the freedom of a completely remote work environment!</li></ul></div>

Remote - Marketing Focused Data Scientist

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Senior Data Analyst (12+ Years Experience)</h1><h2 class="jobSectionHeader">
Role Summary</h2>
We are seeking a highly experienced Senior Data Analyst with 12+ years of expertise in data analysis, reporting, and business intelligence. The role involves translating complex datasets into actionable insights, enabling strategic decision-making, and driving data-driven culture across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Data Analysis: Analyze large and complex datasets to identify trends, patterns, and anomalies.</li><li>
Reporting &amp; Dashboards: Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau).</li><li>
KPI Definition: Define, monitor, and refine KPIs and business metrics aligned with organizational goals.</li><li>
Stakeholder Collaboration: Partner with business stakeholders to gather requirements and deliver tailored analytical solutions.</li><li>
Data Quality: Ensure accuracy, consistency, and integrity of data across multiple systems.</li><li>
Strategic Insights: Translate analytical findings into actionable recommendations for leadership.</li><li>
Documentation: Prepare functional specifications, data dictionaries, and process documentation.</li><li>
Mentorship: Guide junior analysts and contribute to building analytical capabilities within the team.</li></ul><h2 class="jobSectionHeader">
Required Skills</h2><ul><li>
Advanced SQL: Expertise in writing complex queries, stored procedures, and performance optimization.</li><li>
Excel Mastery: Strong proficiency in advanced formulas, pivot tables, macros, and data modeling.</li><li>
BI Tools: Hands-on experience with Power BI, Tableau, or equivalent visualization platforms.</li><li>
Analytical Thinking: Ability to interpret data, identify trends, and provide actionable insights.</li><li>
Visualization Skills: Expertise in designing intuitive and impactful dashboards and reports.</li><li>
Data Governance: Understanding of data quality frameworks, lineage, and compliance standards.</li><li>
Communication: Strong ability to present complex findings to non-technical stakeholders, including senior leadership.</li><li>
Domain Knowledge: Experience working across industries with exposure to finance, operations, or customer analytics.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience with cloud data platforms (Azure, AWS, GCP).</li><li>
Knowledge of Python/R for advanced analytics and automation.</li><li>
Familiarity with machine learning concepts for predictive insights.</li><li>
Proven track record of leading data projects and driving adoption of BI solutions.</li></ul>
ntxlKP64na</div>

Senior Data Analyst

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520 senior data scientist jobs In Lahore

Data Scientist

Data Scientist

Data Scientist, Tech

Principal Data Engineer – AWS Redshift & Data Platforms

Remote - Marketing Focused Data Scientist

Senior AI/ML Engineer

Senior Data Analyst