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senior data engineer (migration / nosql / sql) Jobs in Lahore

senior data engineer (migration / nosql / sql)

senior data scientist

Expert System Solution

About the Role: We are seeking a Senior Data Scientist with 6+ years of experience who possesses not only strong technical expertise but also exceptional communication and business acumen. The ideal candidate is a closer, someone who can take ownership, deliver results, and translate complex data insights into clear, actionable strategies.Responsibilities:<ul><li>Lead end-to-end data science projects from ideation to deployment.</li><li>Develop and implement predictive models, machine learning algorithms, and data-driven solutions.</li><li>Collaborate with cross-functional teams to align data insights with business objectives.</li><li>Present findings to stakeholders in a clear, concise, and impactful manner.</li><li>Work with large datasets using advanced statistical methods and tools.</li><li>Ensure timely delivery and measurable results on all assigned projects.</li></ul>Requirements:<ul><li>6+ years of proven experience as a Data Scientist or in a related role.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong understanding of machine learning, deep learning, NLP, and predictive analytics.</li><li>Hands-on experience with big data technologies (e.g., Spark, Hadoop).</li><li>Experience working with cloud platforms (AWS, GCP, or Azure).</li><li>Exceptional communication and presentation skills.</li><li>Strong problem-solving mindset with the ability to &ldquo;close the loop&rdquo; on projects.</li></ul>Why Join Us:<ul><li>Opportunity to lead impactful projects.</li><li>Collaborative and innovative environment.</li><li>Competitive salary and benefits package.</li><li>Growth-oriented role with room to take ownership.</li></ul>Job Type: Full-timeWork Location: In person

Senior Data Scientist

Devsinc

<div>
 Devsinc is looking for a passionate and experienced
 
 Senior Data Scientist
 
 to join our innovative team. In this role, you will design, develop, and optimize sophisticated AI and machine learning solutions to tackle challenging problems and enhance our product offerings. Your expertise will be crucial in shaping the future of our AI initiatives and driving technological advancements.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Architect, build, and test advanced machine learning models and algorithms to meet business objectives
 </li>
 <li>
 Collaborate effectively with product managers and stakeholders to understand requirements and translate them into robust AI solutions
 </li>
 <li>
 Conduct experiments to validate model performance and iterate on improvements based on data-driven insights
 </li>
 <li>
 Stay informed about the latest trends, techniques, and best practices in AI and machine learning
 </li>
 <li>
 Mentor and provide guidance to junior engineers, fostering a culture of learning and knowledge sharing
 </li>
 <li>
 Document and present project work and findings to internal teams and stakeholders clearly and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 4+ years of experience in software engineering, specifically with AI/ML applications
 </li>
 <li>
 Deep understanding and proficiency in programming languages such as Python, along with experience using libraries like TensorFlow, Keras, or PyTorch
 </li>
 <li>
 Strong background in machine learning techniques, as well as knowledge in areas such as natural language processing (NLP) and computer vision
 </li>
 <li>
 Experience in deploying solutions using cloud technologies (AWS, GCP, Azure)
 </li>
 <li>
 Familiarity with data manipulation and analysis tools (e.g., Pandas, NumPy)
 </li>
 <li>
 Demonstrated ability to lead projects and mentor less experienced engineers
 </li>
 <li>
 Excellent problem-solving abilities and strong analytical skills
 </li>
 <li>
 Effective communication skills and a collaborative mindset
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Provident Fund
 </li>
 <li>
 Medical Inpatient &amp; Outpatient Facilities
 </li>
 <li>
 Paid Overtime
 </li>
 <li>
 In-house Subsidized Lunch &amp; Dinner
 </li>
 <li>
 Gym Facility
 </li>
 <li>
 Engaging Company Activities
 </li>
 <li>
 Sports Allowance
 </li>
 </ul>
</div>

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

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-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>This position is for night shift 9pm to 6am pkt. Are you willing to proceed?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Analyst - BI: 3 years (Preferred)</li></ul>Work Location: In person

Data Analyst - BI Experience is a MUST!

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

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>

Data Scientist

Explore 1171+ Senior data scientist in Lahore this December. Find roles across top companies and apply now to boost your career.

1171 senior data scientist jobs IN Lahore

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Data Analyst - BI Experience is a MUST!

Data Scientist, Tech

Data Scientist, Tech

Data Scientist