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senior - data scientist

senior data scientist

NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Lead Data Scientist</h3>
Location: Islamabad<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h4 class="jobSectionHeader"> 

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.</h4><h4 class="jobSectionHeader"> 

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!
CNGqRj8DRV</div>

Senior - Data Scientist

NorthBay - Pakistan

<div>
 
 Job Title:
 
 Lead Data Scientist
 
 
 
 Location:
 
 Islamabad
 
 
 
 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>

Jazz

<div>
 
 
 Grade Level: L3
 
 Location: Islamabad
 
 Last date to apply: 30 October 2025
 
 
 
 
 
 What is the role of Senior Data Scientist?
 
 
 
 At Jazz, you will be working closely with Jazz Business Units like Pricing, Segments, CVM designers, BI, Channel planning and Digital teams to develop cutting-edge machine learning and optimization solutions to analyze data and help them achieve their KPIs. You will also be working with external entities and help with data driven solution.
 
 
 
 What does Senior Data Scientist do?
 
 
 <ul>
 <li>
 Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
 </li>
 <li>
 Collating and cleaning data from various entities for later use by junior data scientists.
 </li>
 <li>
 Delegating tasks to Junior Data Scientists to realize the successful completion of projects.
 </li>
 <li>
 Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
 </li>
 <li>
 Selecting and employing advanced statistical procedures to obtain actionable insights.
 </li>
 <li>
 Cross-validating models to ensure their generalizability.
 </li>
 <li>
 Producing and disseminating non-technical reports that detail the successes and limitations of each project.
 </li>
 <li>
 Suggesting ways in which insights obtained might be used to inform business strategies.
 </li>
 <li>
 Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
 
 </li>
 </ul>
 
 
 Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be Senior Data Scientist?
 
 
 <ul>
 <li>
 5-7 years of experience in solving complex business problems using data science, statistical techniques &amp; machine learning to build predictive &amp; prescriptive solutions across the customer journey.
 </li>
 <li>
 Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational - SQL, NOSQL databases.
 </li>
 <li>
 Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations.
 </li>
 <li>
 3 years of experience with Python/R/SCALA, extensive knowledge, and hand-on experience in statistical programming - SAS/SPSS/MATLAB and data science toolkits - Pandas/Jupyter/SCIKIT/Tensorflow.
 </li>
 <li>
 3-4 years of experience applying machine learning solving real business and customer problems.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field.
 </li>
 </ul>
 
 
 We are looking for someone who can:
 
 
 <ul>
 <li>
 Develop understanding of existing data science models
 </li>
 <li>
 Develop understanding of how CVM works at Jazz
 </li>
 <li>
 Develop understanding of BI and Analytical tools and existing data science capabilities
 </li>
 <li>
 Work alongside the data science team to understand existing data science operations
 </li>
 <li>
 Develop in-depth understanding of the data science models and respective pipelines
 </li>
 <li>
 Strive for continuous improvement in both the processes and the outcome
 </li>
 <li>
 Contribute to the development and use of data science models for campaigns
 </li>
 <li>
 Identify opportunities for improvement
 </li>
 <li>
 Become responsible for the day-to-day data science activities
 </li>
 <li>
 Complete understanding of all source systems available
 </li>
 <li>
 Launching new advanced analytical models and projects
 </li>
 <li>
 Develop, maintain, and transfer models in an open-source architecture (Python/R/Hadoop/Spark)
 </li>
 <li>
 Working closely with data engineers and business managers to create insights
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of
 
 &nbsp;Pakistan's digital transformation journey
 
 , shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a&nbsp;
 
 fast-scaling, innovation led business
 
 &nbsp;where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Senior Data Scientist- Teknosys

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>

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
 
 
 ZKTxQqAOco
</div>

<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><h3 class="jobSectionHeader">
Required Skills and Qualifications</h3><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:<ul><li>
XGBoost</li><li>
Prophet</li><li>
Deep Learning frameworks (e.g., PyTorch, TensorFlow)</li></ul></li><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><h3 class="jobSectionHeader">
Preferred Qualifications</h3><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.
ZKTxQqAOco</div>

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583 senior data scientist jobs IN Islamabad

Senior - Data Scientist

Senior - Data Scientist

Senior Data Scientist- Teknosys

Data Scientist

Data Scientist

Data Scientist

Data Scientist