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NorthBay Solutions

<div><h3 class="jobSectionHeader">Job Title: Data Scientist</h3>
Location: Lahore<h4 class="jobSectionHeader">
Job Type: Full-time, (Hybrid)</h4><h3 class="jobSectionHeader">
Job Description:</h3>
NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Design, implement, and optimize LLM-powered features and agentic AI workflows.</li><li>
Develop and maintain data pipelines for extracting, structuring, and processing large datasets.</li><li>
Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.</li><li>
Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.</li><li>
Build Python-based tools and scripts for data manipulation, visualization, and decision automation.</li><li>
Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.</li><li>
Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.</li><li>
Implement monitoring and automated data validation processes to ensure quality and scalability.</li><li>
Contribute to GenAI initiatives and experimentation with emerging AI frameworks.</li></ul><h2 class="jobSectionHeader">
Requirements:</h2><ul><li>
4+ years of professional experience in data science, data engineering, or AI-focused roles.</li><li>
2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.</li><li>
1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).</li><li>
Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.</li><li>
Experience with data structuring, cleaning, processing, and visualization tools.</li><li>
Experience building and deploying data-driven or AI-assisted solutions.</li><li>
Good-to-have: Exposure to .NET for application integration or workflow development.</li><li>
Strong communication skills with the ability to translate technical findings into actionable business insights.</li></ul> 
If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
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Data Scientist

<div>
 
 
 
 
 
 
 Job Title
 
 
 
 
 
 
 
 
 
 
 
 
 : Data Scientist
 
 
 
 
 
 
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Lahore
 
 
 
 
 
 
 
 
 
 
 
 
 
 Job Type:
 
 
 
 
 
 
 
 
 
 
 
 
 Full-time, (Hybrid)
 
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 
 
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience with data structuring, cleaning, processing, and visualization tools.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Experience building and deploying data-driven or AI-assisted solutions.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Good-to-have: Exposure to .NET for application integration or workflow development.
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
 
 
 
 
 
 
</div>

NorthBay - Pakistan

<div>
 Job Title: Data Scientist
 
 
 Location: Lahore
 
 
 Job Type: Full-time, (Hybrid)
 
 
 
 Job Description
 
 
 
 NorthBay is seeking a skilled Data Scientist with 4+ years of professional experience to join our team. The ideal candidate will have hands-on experience in data processing, visualization, and structuring, along with practical exposure to Large Language Models (LLMs) and agentic AI systems. You will work on designing intelligent data workflows, integrating AI models, and developing predictive analytics to support business decision-making. Strong analytical, problem-solving, and communication skills are essential, as the role involves close collaboration with cross-functional stakeholders.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize LLM-powered features and agentic AI workflows.
 </li>
 <li>
 Develop and maintain data pipelines for extracting, structuring, and processing large datasets.
 </li>
 <li>
 Integrate LLMs (e.g., GPT, Claude, Gemini, Llama) into data workflows to enhance automation and insight generation.
 </li>
 <li>
 Collaborate with technical and business teams to identify opportunities for LLM and agentic AI adoption in operational processes.
 </li>
 <li>
 Build Python-based tools and scripts for data manipulation, visualization, and decision automation.
 </li>
 <li>
 Utilize relational databases (SQL Server, MySQL, etc.) for data extraction and analysis.
 </li>
 <li>
 Research and evaluate modern open-source and proprietary AI/ML models to support project requirements.
 </li>
 <li>
 Implement monitoring and automated data validation processes to ensure quality and scalability.
 </li>
 <li>
 Contribute to GenAI initiatives and experimentation with emerging AI frameworks.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 4+ years of professional experience in data science, data engineering, or AI-focused roles.
 </li>
 <li>
 2+ years of hands-on experience working with LLMs (GPT, Claude, Gemini, Llama, etc.) and agentic AI systems.
 </li>
 <li>
 1+ year of experience working with relational databases (SQL Server, MySQL, PostgreSQL, etc.).
 </li>
 <li>
 Strong proficiency in Python for data manipulation, automation, API integration, and prompt engineering.
 </li>
 <li>
 Experience with data structuring, cleaning, processing, and visualization tools.
 </li>
 <li>
 Experience building and deploying data-driven or AI-assisted solutions.
 </li>
 <li>
 Good-to-have: Exposure to .NET for application integration or workflow development.
 </li>
 <li>
 Strong communication skills with the ability to translate technical findings into actionable business insights.
 
 
 </li>
 </ul>
 If you meet the above qualifications and are excited to work on innovative AI-driven data solutions, we encourage you to apply and join our team!
</div>

Taraki

<div>
 Taraki is hiring for one of its clients.
 
 
 Location: Remote
 
 
 Experience Level: 5 to 8 years in Applied Machine Learning, Statistical Modeling, and Data Science for large-scale systems Department: Data &amp; AI Engineering
 
 
 Compensation: PKR 600,000 to 850,000 (based on experience)
 
 
 Role Summary:
 
 
 The Data Scientist will develop ML models to predict customer behavior, price sensitivity, and offer conversion probability. They will build and maintain elasticity models, segmentation models, and reinforcement learning frameworks to enable personalized pricing and offer recommendations.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and deploy models for:
 </li>
 <ul>
 <li>
 Price Elasticity / Conversion Prediction
 </li>
 <li>
 Churn Propensity / Retention Uplift
 </li>
 <li>
 Segment Discovery &amp; Similarity (Clustering, KNN)
 </li>
 <li>
 Offer Recommendation / Ranking (Scoring Models)
 
 </li>
 </ul>
 <li>
 Design A/B testing and uplift modeling to evaluate campaign performance.
 </li>
 <li>
 Develop simulation engines for pricing what-if analysis and scenario testing.
 </li>
 <li>
 Create automated pipelines for model training, scoring, and retraining.
 </li>
 <li>
 Work closely with Data Engineers to ensure feature store alignment.
 </li>
 <li>
 Collaborate with the Business Decisioning team to translate insights into rules and thresholds.
 </li>
 <li>
 Implement feedback loops using real-time events (purchase, rejection, expiry) to improve models.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong foundation in Machine Learning, Statistics, and Econometrics.
 </li>
 <li>
 Proficient in Python (pandas, scikit-learn, numpy, statsmodels, xgboost, lightGBM).
 </li>
 <li>
 Experience with model lifecycle management (MLOps).
 </li>
 <li>
 Solid understanding of telecom KPIs: ARPU, recharge frequency, wallet size, churn rate, etc.
 </li>
 <li>
 Ability to design feature engineering pipelines and perform A/B testing.
 </li>
 <li>
 Expertise in data visualization and storytelling for non-technical stakeholders.
 
 
 
 </li>
 </ul>
 Tools &amp; Technologies
 
 
 Data Science: Python, R, Scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch
 
 
 MLOps: MLflow, SageMaker, Databricks ML, Azure ML Studio
 
 
 Data: Databricks, Snowflake, S3, Delta Lake
 
 
 Visualization: PowerBI, Tableau, Streamlit, Dash
 
 
 Experimentation: Evidently AI, CausalML, upliftML
 
 
 Versioning: Git, DVC, MLflow Tracking
 
 
 
 Preferred (Nice-to-Have)
 
 
 
 <ul>
 <li>
 Experience with Telecom Offer &amp; Recharge Modeling or Dynamic Pricing Systems.
 </li>
 <li>
 Knowledge of Pricefx PriceAI, Adobe Target Recommendations, or Reinforcement Learning frameworks.
 </li>
 <li>
 Understanding of Elasticity Curves, Customer Lifetime Value (CLV), and Offer Fatigue Modeling.
 </li>
 <li>
 Experience integrating ML outputs into business decision engines or rule systems.
 </li>
 </ul>
</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

Alpha Group of Companies

Job SummaryWe are seeking a Senior Data Scientist to lead the design and implementation of advanced analytics and data science solutions. This role requires a strong foundation in statistics, machine learning, data engineering, and domain-driven problem solving. The ideal candidate will have experience building end-to-end data science solutions, from exploratory data analysis and feature engineering to production-ready-models and business insights. You will collaborate closely with engineers, analysts, and business stakeholders to drive measurable outcomes.Key Responsibilities&#61623; Design, build, and evaluate predictive and prescriptive models (regression, classification, forecasting, clustering, recommendation systems).&#61623; Apply advanced ML methods (gradient boosting, ensemble models, transformers for tabular/text, probabilistic models).&#61623; Conduct A/B tests and causal inference to measure business impact.&#61623; Perform exploratory data analysis (EDA) using statistical and visualization tools.&#61623; Translate data findings into actionable insights with clear storytelling for non-technical audiences.&#61623; Build dashboards and reports to support decision-making.&#61623; Work with SQL, Spark, Dask, or BigQuery to process and transform large datasets.&#61623; Collaborate with data engineers to ensure high-quality, reliable data pipelines.&#61623; Apply feature engineering, data augmentation, and missing data handling strategies.&#61623; Contribute to model deployment using MLflow, SageMaker, Vertex AI, or Azure ML.&#61623; Support model monitoring and retraining strategies.&#61623; Use Python (Pandas, NumPy, Scikit-learn, Statsmodels, PyTorch/TensorFlow), R, SQL,and Jupyter for analysis and modeling.&#61623; Use visualization &amp;amp; BI tools (Matplotlib, Seaborn, Plotly, Power BI, Tableau, Looker).&#61623; Track experiments with MLflow, DVC, or Weights &amp; Biases.&#61623; Partner with product managers and business teams to frame problems and definesuccess metrics.&#61623; Mentor junior data scientists and analysts.&#61623; Champion data-driven decision-making across the organization.Required Qualifications &amp;amp; Skills&#61623; Strong programming skills in Python and SQL; familiarity with R or Julia is a plus.&#61623; Solid foundation in statistics, probability, linear algebra, and hypothesis testing.&#61623; Experience with machine learning techniques (supervised/unsupervised learning,ensembles, time series).&#61623; Proficiency with data visualization and ability to communicate insights effectively.&#61623; Hands-on experience with big data tools (Spark, Dask, BigQuery).&#61623; Cloud experience with AWS, GCP, or Azure for data science workflows.&#61623; Familiarity with version control (Git), experiment tracking, and reproducibleworkflows.&#61623; Excellent communication, collaboration, and problem-solving skills.&#61623; Proven ability to mentor junior engineers and lead initiatives.Preferred Qualifications&#61623; Domain expertise in manufacturing, healthcare, retail, or e-commerce applications.&#61623; Experience with NLP or computer vision applied to data-rich use cases.&#61623; Hands-on experience with causal inference, Bayesian methods, or reinforcementlearning for experimentation.&#61623; Prior open-source contributions, publications, or patents.&#61623; Experience with BI/analytics strategy and executive-level presentations.Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.</li><li>PhD or strong research experience is a plus, but not required.</li><li>5&ndash;7+ years of professional experience in data science or advanced analytics, with evidence of driving business impact.</li></ul>What We Offer&#61623; High-impact data science projects that solve real-world problems.&#61623; Continuous learning opportunities with cloud credits, courses, and conference sponsorships.&#61623; Competitive salary, benefits, and performance-based incentives.&#61623; Flexible hybrid/remote working environment.&#61623; A culture of collaboration, innovation, and knowledge sharing.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthExperience:<ul><li>Relevant: 5 years (Required)</li></ul>Location:<ul><li>Lahore (Preferred)</li></ul>Work Location: In person

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Data Scientist, Tech

Senior Data Scientist