106 Data Specialists jobs in Lahore
Data Science Engineer
Posted 11 days ago
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is seeking a talented
Data Science Engineer
who will play a pivotal role in designing, implementing, and optimizing data-driven solutions that enhance our machine learning capabilities. The ideal candidate has a strong background in data engineering combined with machine learning and is passionate about applying modern technologies to drive innovation. You will collaborate with data scientists, analysts, and software engineers to create robust data pipelines and deploy advanced models. Key Responsibilities: Design and implement scalable data pipelines to efficiently collect, process, and analyze large volumes of data from various sources. Collaborate with data scientists to transform machine learning models into production-ready applications. Optimize and maintain existing data workflows, ensuring data accuracy, quality, and integrity throughout the process. Evaluate and integrate new data management and processing technologies to enhance analytics capabilities. Create and manage data repositories, following best practices for data governance and security. Develop documentation and provide training to team members on data systems and workflows. Utilize cloud platforms (e.g., AWS, Azure, Google Cloud) for data storage, processing, and machine learning deployment. Stay updated on the latest industry trends and technologies in data engineering and machine learning. Lead the development and deployment of machine learning models that drive key business metrics and outcomes. Build and maintain scalable data pipelines and feature stores for training and inference use cases. Work closely with product, engineering, and business teams to identify high-impact data science opportunities and close the loop on delivery. Monitor and retrain models in production to ensure performance over time and handle data drift issues. Contribute to architectural decisions on data platforms and model-serving infrastructure. Mentor junior team members and help shape best practices in data science engineering. Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related technical discipline. 3-5 years of professional experience in data science and engineering roles, with a track record of delivering production-ready solutions. Demonstrated experience translating business problems into data science projects with measurable outcomes. Prior experience working closely with business stakeholders to operationalize models and drive ROI. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Excellent communication skills, both verbal and written, to convey technical concepts effectively. Ability to work collaboratively in a fast-paced team environment and manage multiple priorities. Motivated self-starter with a passion for learning and applying new technologies.
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Associate Software Engineer - Data Science
Posted 11 days ago
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is on the lookout for
Data Scientists
with 6 months - 1.5 years of experience, with a particular focus on machine learning (ML). This role is ideal for individuals who have begun to develop their skills in ML methodologies and are eager to apply this knowledge to solve real-world challenges. The successful candidate will demonstrate a strong foundation in ML techniques, an analytical mindset for unraveling complex data puzzles, and a dedication to contributing to data-driven decisions and innovations. Responsibilities: Design, develop, and deploy machine learning models to address specific business challenges. This includes data preprocessing, feature engineering, model selection, training, and validation. Perform exploratory data analysis to uncover hidden patterns, correlations, and insights within structured and unstructured data. Utilize these findings to refine ML models and approaches. Engage with a multidisciplinary team of data scientists, engineers, and business stakeholders to refine data requirements and deliver ML-driven solutions. Create clear visualizations to represent the outcomes of ML models and analyses. Prepare comprehensive reports and presentations that translate complex ML concepts and findings into actionable business insights. Actively pursue learning opportunities in advanced machine learning techniques and algorithms. Incorporate cutting-edge research and tools into projects to enhance model performance and efficiency. Assist in the development of prototypes for predictive models and other ML applications, testing their effectiveness in real-world scenarios. Cross-Functional Application of Insights, Datasets, Code, and Models: Look for opportunities to use insights/datasets/code/models across other functions in the organization (for example in the HR and marketing departments). Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results. Requirements
Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field with significant coursework or projects in machine learning. A minimum of 6 months - 1.5 years of experience in machine learning or data science, with a portfolio demonstrating projects in ML model development, data analysis, and feature engineering. Solid proficiency in ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and programming languages such as Python. Experience with SQL and familiarity with data visualization libraries (e.g., Seaborn, ggplot2). Exceptional skills in analyzing complex data sets to develop ML models that effectively address business needs. Strong ability to communicate complex ML concepts and the results of analyses clearly to both technical and non-technical stakeholders. Demonstrated ability to work effectively in a team, showing adaptability and openness to feedback.
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Data Management Executive
Posted 11 days ago
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Key Responsibilities : Organize, maintain, and update company databases Ensure accuracy, consistency, and security of data Develop and implement data management strategies Collaborate with cross-functional teams to support data needs Generate reports and insights to support business decisions Utilize tools such as Microsoft Word, Excel, and PowerPoint for documentation, analysis, and presentation Job Specification :
Minimum 2 years of hands-on experience in data management or a related field. Proficient in data tools and database systems. Strong attention to detail and analytical skills. Bachelor's degree in Computer Science, IT, Business, or a related field. Job Rewards and Benefits : Medical #J-18808-Ljbffr
Data Analyst/ Data Scientist
Posted 7 days ago
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Location: College Road, Lahore
Job Type: Full-Time
Working Hours: 9:00 PM – 6:00 AM PKT
Department: Data & Analytics
Reports To: Data Analytics ManagerJob Overview: We are seeking a Senior Data Scientist with deep expertise in the ELK Stack (Elasticsearch, Logstash, Kibana) , MySQL query optimization , and big data analysis . This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You’ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful.Key Responsibilities:
- Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs.
- Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch.
- Build and maintain Kibana dashboards for real-time visualization and analytics.
- Analyze large-scale datasets to identify trends, anomalies, and actionable insights.
- Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs.
- Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy.
- Support development of machine learning models or predictive analytics where applicable.
- Document processes, pipelines, and findings for knowledge sharing and reproducibility.
- Mentor junior team members and contribute to data governance and quality initiatives.
- Master’s degree in Data Science, Computer Science, Statistics, or related discipline.
- Minimum 4 years of experience in data science, analytics, or a similar technical role.
- Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment.
- Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries.
- Experience in Python or R for data analysis and scripting.
- Strong foundation in data modeling, ETL pipelines, and data warehousing.
- Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.
- Experience with big data technologies (e.g., Apache Spark, Hadoop).
- Familiarity with cloud platforms like AWS, especially their data and log services is preferred
- Knowledge of machine learning, predictive modeling
- Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required
Data Analyst/ Data Scientist
Posted 8 days ago
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Job Description
Senior Data Scientist – ELK Stack & Analytics
Location:
College Road, Lahore
Job Type:
Full-Time
Working Hours:
9:00 PM – 6:00 AM PKT
Department:
Data & Analytics
Reports To:
Data Analytics Manager Job Overview: We are seeking a
Senior Data Scientist
with deep expertise in the
ELK Stack (Elasticsearch, Logstash, Kibana) ,
MySQL query optimization , and
big data analysis . This role requires a strong analytical mindset and technical skills to handle complex datasets, develop data pipelines, and drive insights that support strategic business decisions. You’ll work closely with cross-functional teams to lead data-driven initiatives and ensure our data infrastructure and reporting capabilities are scalable, reliable, and insightful. Key Responsibilities:
Aggregate and transform structured and unstructured data from various sources including logs, databases, and APIs. Design and manage robust data pipelines using Logstash and other ETL tools to feed into Elasticsearch. Build and maintain Kibana dashboards for real-time visualization and analytics. Analyze large-scale datasets to identify trends, anomalies, and actionable insights. Write and optimize complex MySQL queries to support deep-dive analysis and reporting needs. Collaborate with stakeholders to define KPIs, metrics, and analytical goals aligned with business strategy. Support development of machine learning models or predictive analytics where applicable. Document processes, pipelines, and findings for knowledge sharing and reproducibility. Mentor junior team members and contribute to data governance and quality initiatives.
Required Qualifications:
Master’s degree in Data Science, Computer Science, Statistics, or related discipline. Minimum 4 years of experience in data science, analytics, or a similar technical role. Proven experience working with the ELK Stack (Elasticsearch, Logstash, Kibana) in a production environment. Advanced proficiency in SQL, especially with MySQL optimization for large and complex queries. Experience in Python or R for data analysis and scripting. Strong foundation in data modeling, ETL pipelines, and data warehousing. Excellent problem-solving skills and ability to communicate insights clearly to both technical and non-technical audiences.
Preferred Skills:
Experience with big data technologies (e.g., Apache Spark, Hadoop). Familiarity with cloud platforms like AWS, especially their data and log services is preferred Knowledge of machine learning, predictive modeling Domain experience in finance, healthcare, e-commerce, or SaaS environments is preferred but not required
Ready to lead cutting-edge analytics and log intelligence?
Join our fast-paced, data-driven environment where your insights will directly influence business growth and operational excellence. #J-18808-Ljbffr
Data Scientist
Posted today
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Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from JiBe ERP
JiBe is a cloud based fully integrated ERP system for the shipping industry. Our goal is to allow shipping companies to improve productivity, efficiency and safety levels, while reducing costs. JiBe ERP enables increased automation and streamlining of processes, creating pre-defined work flows and reducing the usage of email and paper.
Job Responsibilities
- Provide Data Analytics Platform and a function for all Web application in existing and upcoming projects. Data Analyst will turn data into information and information into insight to help drive decisions.
- Extracts data from a variety of sources for use in analysis and models; completes ad-hoc reporting and data analysis.
- Identify relevant data, analyze, and interpret trends or patterns in complex data sets
- Analyze and generate actionable insights from structured and unstructured data (to be included) and effectively communicate findings and solutions with various groups
- Perform routine reporting and ad hoc analysis of operational metric and other management reports
- Assist with developing and using statistical modelling
- Data scientists will be responsible for building and implementing next generation predictive models leveraging traditional and non-traditional data.
- In addition, data scientists will be responsible for evaluating multiple machine learning and regression techniques for specific use cases.
- Data Scientists will work closely with internal stakeholders and be able to implement analytical solutions to drive higher ROI.
- Data scientists will interact and at times work with external partners in the industry to ensure he/she remains abreast with the knowledge in analytics domain
Qualifications:
- Bachelor’s Degree in Information Technologies
- 2+ years’ professional experience
- Advanced analytical knowledge of data
- Developing software and data models
- Executing predictive analytics
- Familiarity with reporting tools
- Proficient with one or more programming languages (Python, R, etc.)
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Business Development and Product Management
- Industries IT Services and IT Consulting and Software Development
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#J-18808-LjbffrData Scientist
Posted today
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Derive insights from complex datasets to inform decision-making. As a Data Scientist at our company, you will play a key role in our Data team, contributing to innovative solutions and driving business growth through technical excellence.
We are looking for a passionate professional who thrives in a collaborative environment and is eager to make an impact. This position offers an excellent opportunity for career growth and development in a fast-paced, technology-driven organization.
Responsibilities- Build predictive models and algorithms to solve business problems
- Analyze large datasets to extract actionable insights
- Create data visualizations and reports for stakeholders
- Collaborate with engineering teams to implement data solutions
- Stay current with latest research and techniques in data science
- 5+ years of experience in data science or related field
- Strong background in statistics and mathematical modeling
- Proficiency in Python and data analysis libraries
- Experience with machine learning frameworks
- Knowledge of SQL and data visualization tools
- MS/PhD in Data Science, Statistics, or related field
- Strong programming skills and analytical mindset
- Experience with big data technologies
- Excellent communication skills for presenting technical concepts
- Problem-solving ability and attention to detail
- Good salary package
- Flexible work setup
- Opportunity to innovate
We're excited to hear from you! Submit your application and join our talented team.
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Data Manager
Posted today
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Frizhub Private Limited is looking for a Data Manager to join its team.
As a member of Frizhubs Data team, your responsibilities will be to:
- Run our proprietary program to clean large amounts of data
- Manually analyze data for anomalies
- Work with large data files and format them as needed.
Like all current members of the Frizhub Team, you’ll need to be self-driven and have an eye for detail. In return Frizhub will offer you very competitive compensation, a healthy work environment and the ability to learn and grow your skills. Please apply to this job with subject heading “Data Manager” (Applications without this subject may not be considered).
Job SpecificationRequired Skills
- Experience in working with very large datasets
- Strong MS Office Skills
- Critical Thinking
- Experience and familiarity in working with large CSV’s (over 500 MB in size)
- Minimum 2 years of experience as a Data Manager (or related field)
- Ability to manage people and take ownership of projects
- Basic level English skills for communication
Data Engineer
Posted today
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About Burq
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.
We started with building the largest network of delivery networks, partnering with some of the biggest delivery companies. We then made it extremely easy for businesses to plug into our network and start offering delivery to their customers. Now, we’re powering deliveries for some of the fastest-growing companies from retailers to startups.
It’s a big mission and now we want you to join us to make it even bigger!
We’re already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the U.S.
We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.
We want people who are unafraid to be wrong and support decisions with numbers and narrative.
Responsibilities- Design, build, and maintain efficient and scalable data pipelines using tools like Airbyte, Airflow, and dbt, with a focus on integrating with Snowflake.
- Manage and optimize data warehousing solutions using Snowflake, ensuring data is organized, secure, and accessible for analysis.
- Develop and implement automations and workflows to streamline data processing and integration, ensuring seamless data flow across systems.
- Collaborate with cross-functional teams to set up and maintain data infrastructure that supports both engineering and analytical needs.
- Utilize Databricks and Spark for big data processing, ensuring data is processed, stored, and analyzed efficiently.
- Monitor data streams and processes using Kafka and Monte Cristo, ensuring data quality and integrity.
- Work closely with data analysts and other stakeholders to create, maintain, and optimize visualizations and reports using Tableau, ensuring data-driven decision-making.
- Ensure the security and compliance of data systems, implementing best practices and leveraging tools like Terraform for infrastructure management.
- Continuously evaluate and improve data processes, staying current with industry best practices and emerging technologies, with a strong emphasis on data analytics and visualization.
- Proficiency in SQL and experience with data visualization tools such as Tableau.
- Hands-on experience with data engineering tools and platforms including Snowflake, Airbyte, Airflow, and Terraform.
- Strong programming skills in Python and experience with data transformation tools like dbt.
- Familiarity with big data processing frameworks such as Databricks and Apache Spark.
- Knowledge of data streaming platforms like Kafka.
- Experience with data observability and quality tools like Monte Cristo.
- Solid understanding of data warehousing, data pipelines, and database management, with specific experience in Snowflake.
- Ability to design and implement automation, workflows, and data infrastructure.
- Strong analytical skills with the ability to translate complex data into actionable insights, particularly using Tableau.
- Excellent problem-solving abilities and attention to detail.
Investing in you
- Competitive salary
- Medical
- Educational courses
Generous Time Off
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
#J-18808-LjbffrData Engineer
Posted today
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Data Engineer with 2+ years experience in AI, Python, SQL, Spark, Azure, Databricks. Skilled in scalable data infrastructure & pipeline design. English required.
- Bachelor’s degree in computer science, Engineering, or a related field.
- Minimum of 2 years of experience in data engineering, specifically in large-scale AI projects and production applications.
- Strong proficiency in Python, SQL, Spark, Cloud Architect, Data & Solution Architect, API, Databricks, and Azure.
- Deep understanding of designing and building scalable and robust data infrastructure.
- Experience with at least one public cloud provider.
- Strong understanding of system architecture and data pipeline construction.
- Familiarity with machine learning models and data processing requirements.
- Team player with analytical and problem-solving skills.
- Good communication skills in English.
- Optional:
- Expertise in distributed systems like Kafka and orchestration systems like Kubernetes.
- Basic knowledge in Data Lake/Data Warehousing/Big Data tools, Apache Spark, RDBMS, NoSQL, Knowledge Graph.
- Design, build, and manage data pipelines, integrating multiple data sources to support company goals.
- Develop and maintain large-scale data processing systems and machine learning pipelines, ensuring data availability and quality.
- Implement systems for data quality and consistency, collaborating with Data Science and IT teams.
- Ensure compliance with security guidelines and SDLC processes.
- Collaborate with Data Science team to provide necessary data infrastructure.
- Lead and manage large-scale AI projects, working with cloud platforms for deployment.
- Maintain and optimize databases, design schemas, and improve data flow across the organization.
“To be ILI” means traveling far to reinvigorate innovation. It symbolizes vocation, commitment, and passion. We are a dedicated taskforce focused on sensing and initiating innovation.
Like a lion in the wild, constantly hunting and alert, we stay focused and agile, unlike a lion in captivity which loses its hunting instinct due to guaranteed food supply.
We offer a steep learning curve, development opportunities, and a flexible, positive work environment.
Modern office with design furniture, rooftop terrace with city view.
International TeamSupportive, open-minded teammates. Enjoy after-work events, barbecues, excursions, and team gatherings.
Fresh fruits, professional coffee, smoothies, on-site gym, and yoga room for relaxation.
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