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senior data engineer Jobs in Surgery Coors Jobs In Pakistan

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Walee Technologies

Job Description: Data ScientistPosition Title: Data ScientistLocation: IslamabadExperience Required: Minimum 3 yearsEmployment Type: Full-TimeRole OverviewWe are seeking a skilled and mission-driven Data Scientist with at least 3 years of experience to join our team. The ideal candidate will lead the development, deployment, and monitoring of predictive credit scoring models while supporting critical analytics and decision systems across our lending product.Core ResponsibilitiesModel Monitoring &amp; Optimization:Continuously monitor deployed models, detect data drift, and retrain models to maintain accuracy, fairness, and stability.Dashboard Ownership:Design and maintain dashboards for loan performance, user behavior, and model health with regular updates and intuitive visualizations.Data Pipeline &amp; Quality Oversight:Collaborate with engineering and product teams to ensure reliable and clean data flow. Validate inputs and troubleshoot anomalies.Risk and Portfolio Analytics:Deliver insights on delinquency risk, repayment patterns, user segments, and portfolio performance.Stakeholder Reporting:Prepare regular performance and risk reports for leadership to support strategic and operational decisions.Data Experimentation &amp; A/B Testing:Design experiments to evaluate policy changes, eligibility criteria, and model iterations.Support in Regulatory &amp; Audit Documentation:Assist in preparing documentation for internal reviews and external audits, covering model rationale and validation.Ad-hoc Data Analysis:Respond to on-demand data needs from cross-functional teams including product, growth, and compliance.Key Performance Indicators (KPIs)- Model Accuracy Metrics: ROC-AUC, KS Score, Gini, Precision/Recall across cohorts- Model Stability (PSI/CSI): Frequency of drift detection and retraining- Dashboard Reliability: 98% uptime and consistent data refresh cadence- Model Deployment Speed: Time from drift detection to live update- Report Timeliness: On-time delivery of weekly/monthly insights- Default Rate Deviation: Accuracy of predictions vs actuals by risk bucketRequired Qualifications- Minimum 3 years of hands-on experience in data science, preferably in fintech or lending- Strong skills in Python, SQL, Mongo, and ML libraries (e.g., scikit-learn, XGBoost, pandas)- Experience in building and monitoring production-grade models- Understanding of credit scoring, portfolio risk, and model validation metrics- Familiarity with MLOps tools, cloud platforms (AWS), and visualization tools (e.g., Metabase, Power BI)Preferred- Background in Islamic finance or financial inclusion is a plus- Experience working with behavioral or transactional data- Ability to communicate findings clearly to non-technical stakeholdersJob Type: Full-timeExperience:<ul><li>Data Scientist: 3 years (Required)</li><li>Financial Institution/ Bank: 3 years (Required)</li></ul>Work Location: In person

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>

<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>

Altak Group

Job description:Altak Group is building a next-generation AI solutions team to design, develop, and ship innovative products at speed. We are seeking an ML Engineer / Data Scientist who combines strong technical expertise with a product-focused mindset. This is a chance to join a newly established AI department driving rapid development of AI-powered solutions across diverse domains&mdash;including recruitment platforms, consumer apps, and enterprise tools.Responsibilities:Design, build, and deploy end-to-end AI/ML solutions from experimentation to production.Work with LLMs, neural networks, RAG pipelines, agentic AI frameworks, and advanced data pipelines.Collaborate with product and engineering teams to rapidly prototype and ship multiple AI-driven products per month.Optimize model performance, scalability, and cost efficiency for real-world applications.Provide production support for deployed solutions and continuously enhance performance.Stay on the cutting edge of new AI frameworks, tools, and techniques&mdash;leveraging them to accelerate delivery.Qualifications:4+ years of hands-on experience in ML engineering or applied data science.Proven experience with large language models (LLMs), neural networks, retrieval-augmented generation (RAG), and agent-based AI systems.Strong skills in data pipeline design, ETL, and orchestration.Expertise in Python, PyTorch/TensorFlow, and familiarity with modern AI development stacks (LangChain, Hugging Face, vector databases, etc.).Experience deploying AI solutions in production environments (AWS, Azure, or GCP).Strong problem-solving and can-do attitude, with the ability to work in a fast-paced, iterative environment.Bonus: Experience contributing to multiple shipped AI products in a short time cycle.What we offer:Opportunity to shape a brand-new AI department building diverse, high-impact solutions.Collaborative environment with a fast-build, fast-ship culture.Exposure to cutting-edge AI tools and next-gen product development practices.Competitive salary and growth opportunities.Job Type: Full-timePay: From Rs100,000.00 per monthWork Location: Remote

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>

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a 10+ year old AI company, dedicated to delivering state-of-the-art AI products and solutions to a diverse range of industries. Founded by Sameer Maskey, Ph.D., an Adjunct Associate Professor at Columbia University, our company is on a steadfast mission to democratize AI and harness the power of global AI talent from underserved communities. With a robust presence in four countries and a dedicated team of over 400 full-time employees, we are committed to fostering AI transformation journeys for businesses worldwide. At Fusemachines, we not only bridge the gap between AI advancement and its global impact but also strive to deliver the most advanced technology solutions to the world.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and validate time-series forecasting models to predict key business metrics
 </li>
 <li>
 Experiment with and evaluate a diverse range of modeling techniques, including traditional ML models (e.g., XGBoost), statistical methods (e.g., Prophet), and advanced deep learning approaches (e.g., DeepAR, N-BEATS)
 </li>
 <li>
 Collaborate closely with senior data scientists to analyze business requirements, perform feature engineering, and iterate on model improvements
 </li>
 <li>
 Work with data engineers to understand and utilize complex datasets from Snowflake
 </li>
 <li>
 Contribute to the deployment of the model in a cloud environment, ensuring it is scalable and maintainable
 </li>
 <li>
 Take ownership of the long-term model lifecycle, including performance monitoring, retraining, and incorporating new data inputs as they become available
 </li>
 <li>
 Translate complex model outputs into actionable insights and communicate findings to stakeholders across different business units
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proven professional experience as a Data Scientist with a strong emphasis on time-series analysis and forecasting
 </li>
 <li>
 Hands-on experience building and deploying forecasting models using libraries/frameworks such as:
 </li>
 <ul>
 <li>
 XGBoost
 </li>
 <li>
 Prophet
 </li>
 <li>
 Deep Learning frameworks (e.g., PyTorch, TensorFlow)
 </li>
 </ul>
 <li>
 Proficiency in Python and its core data science ecosystem (e.g., pandas, NumPy, scikit-learn)
 </li>
 <li>
 Solid understanding of the underlying statistical and machine learning principles of various forecasting techniques
 </li>
 <li>
 Ability to work collaboratively within a distributed team and effectively partner with client-side data scientists and engineers
 </li>
 <li>
 Strong problem-solving skills with the ability to navigate complex data landscapes and translate business challenges into quantitative models
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Direct experience with advanced neural network architectures for time-series forecasting, such as DeepAR or N-BEATS
 </li>
 <li>
 Familiarity with querying and working with data from data warehouses, particularly Snowflake
 </li>
 <li>
 Experience with MLOps practices, including model deployment, monitoring, and maintenance in a cloud environment
 </li>
 <li>
 Domain knowledge in finance, supply chain, or sales operations planning is a significant plus
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
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</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&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>

Explore 2663+ Data scientist in Surgery Coors Jobs In Pakistan this November. Find roles across top companies and apply now to boost your career.

2663 data scientist jobs IN Surgery Coors Jobs In Pakistan

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