117 Data Scientist jobs in Pakistan

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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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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.

• 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.

Join us to shape your future, unlock opportunities, and drive innovation. Apply now to get registered in our talent pool.

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Leave your CV, and our manager will contact you soon. We look forward to welcoming you to our team.

Grade Level (for internal use):

Our Data and AI Engineering Team consists of skilled professionals focused on creating innovative and scalable data solutions. We specialise in cloud technologies, especially AWS and Snowflake , and prioritise data security and governance. Collaboration is key , as we work closely with Data Scientists and ML Engineers to advance impactful data projects. We encourage continuous learning and are actively adopting new technologies like Generative AI models and advanced machine learning tools to improve our data platforms and achieve outstanding outcomes.

In this role, you will design and implement scalable data architectures aligned with strategic goals, especially those supporting all stages of the Machine Learning (ML) and Generative AI (GenAI) lifecycle . You will apply your expertise in Snowflake, Python, and cloud technologies to maintain strong data security and integrity. Your work will drive innovation by developing, optimising, and maintaining production-level data pipelines that support both analytical and predictive modelling, enhancing data processing efficiency and enabling data-driven decision-making across the organisation.

Main Contributions

• ML Data Pipeline Development: Create and uphold scalable, reliable, and secure data infrastructure essential for Machine Learning model training, validation, and inference in production settings.
• Feature Store Collaboration: Partner with Data Scientists to design, build, and maintain a centralized Feature Store , ensuring consistency, reusability, and low-latency access to features for model training and deployment.
• GenAI Data Handling: Develop and execute data ingestion and processing workflows for text and unstructured data , including methods for vectorisation and populating vector databases to support Retrieval-Augmented Generation (RAG) architectures .
• Core Data Engineering: Build and maintain robust ELT/ETL processes within Snowflake and AWS to integrate diverse, large-scale data sources, ensuring excellent data governance, quality, and performance for general business intelligence.
• MLOps Partnership: Collaborate closely with ML Engineers to operationalise data flows to and from MLOps platforms (e.g., SageMaker, MLflow) , focusing on automating pipelines and managing data versioning .
• Query and Compute Efficiency: Optimize data storage and computing resources across the platform to speed up data science experiments and model training workloads , while managing costs effectively.
• Data Security and Compliance: Implement advanced security measures to safeguard sensitive data used in AI datasets , maintaining data integrity and confidentiality in line with governance standards.

Essential Skills: (Dual Focus)

• Data Engineering Expertise (5+ Years): Extensive experience in a core Data Engineering role, including 5+ years working with Snowflake and strong skills in SQL and Python for data manipulation and engineering.
• Data Science Enablement: Demonstrated experience building and optimizing data pipelines specifically for Machine Learning model training and deployment (e.g., feature engineering, time-series data handling, complex schema management).
• Cloud Computing: Solid practical experience with AWS services (S3, Lambda, EC2, ECS) for creating reliable, scalable cloud data solutions.
• Distributed Processing: Familiarity with distributed computing frameworks such as PySpark or Dask for large-scale data transformation.
• Data Security: Strong knowledge of RBAC security models and secure data connection protocols.
• Communication: Excellent communication and teamwork skills, with a proven history of effective collaboration with Data Science and Business teams .

• MLOps / MLOps Platforms: Hands-on experience integrating data systems with MLOps platforms (e.g., MLflow, Amazon SageMaker) for production model deployment.
• Generative AI Data: Experience with vector databases (e.g., Pinecone, ChromaDB) and familiarity with data preparation for LLMs and RAG architectures .
• Feature Store Expertise: Practical or theoretical knowledge of Feature Stores (e.g., Feast, Tecton) and their role in the ML lifecycle.
• Advanced Data Orchestration: Experience with modern orchestrators like Apache Airflow, Prefect, or Dagster for managing complex, data-science-focused workflows.
• Experience with Cortex AI or comparable cloud AI tools.
• Certifications in Snowflake, AWS Data Analytics, or related areas.

#LI-USA

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you cantake care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit:

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere .

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision -

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Grade Level (for internal use):

The Team: Our Data Engineering Team is a dynamic group of professionals dedicated to building innovative and scalable data solutions. We pride ourselves on our expertise in cloud technologies, particularly AWS and Snowflake, and our commitment to data security and governance. Our team thrives on collaboration, working closely with business and technical stakeholders to drive impactful data initiatives. We value continuous learning and are always exploring new technologies, such as AI-driven models and advanced data visualization tools, to enhance our data platforms and deliver exceptional results.

The Impact: At S&P Global, we don’t give you intelligence—we give you essential intelligence. The essential intelligence you need to make decisions with conviction. We’re the world’s foremost provider of credit ratings, benchmarks and analytics in the global capital and commodity markets. Our divisions include S&P Global Ratings, S&P Global Market Intelligence, S&P Dow Jones Indices and S&P Global Platts. For more information, visit .

As part of this- you will be designing and implementing scalable data architectures that align with strategic objectives, enhancing overall business performance. Utilize your expertise in Snowflake, Python, and cloud technologies to ensure robust data security and integrity. Drive innovation by integrating AI-driven models and optimizing data workflows, thereby improving data processing efficiency and supporting informed decision-making across the organization.

What’s in it for you: As a Data Engineer, you will be at the forefront of transforming our data landscape, playing a crucial role in shaping the future of our data-driven strategies. Engage in exciting projects that leverage cutting-edge technologies like AI and cloud platforms to optimize data operations. Benefit from a collaborative and innovative work environment that encourages professional growth and values your contributions to achieving strategic goals. Enjoy opportunities to expand your skills and make a significant impact on our organization's success.

Our Marketing & Data Technology department at S&P Global is dedicated to driving innovation and ensuring the seamless integration and management of data across our commercial and marketing platforms. Our team values collaboration, continuous learning, and a commitment to excellence. We pride ourselves on our ability to adapt quickly to technological advancements and our focus on delivering high-quality data solutions to our clients.

Responsibilities:

• Design and implement scalable and efficient data systems, ensuring robust data architecture.
• Develop innovative data products that align with business goals and enhance data accessibility.
• Ensure data integrity and confidentiality through expert application of data security and encryption protocols.
• Leverage cloud technologies, particularly AWS, to optimize data operations and enhance performance.
• Implement and manage RBAC security models within Snowflake to maintain secure data environments.
• Collaborate across business and technical teams to ensure effective communication and project delivery.
• Manage large-scale data projects from inception to completion, ensuring timely and successful outcomes.

Required Skills:

• Bachelor’s degree in software engineering, Computer Science, or a related field, or 5+ years of experience in data engineering.
• 5+ years of experience working with Snowflake in a data engineering capacity.
• Strong proficiency in data architecture and demonstrated experience in data product development.
• Advanced proficiency in Python and SQL for data transformation and analytics.
• Deep understanding of RBAC security models and secure data connection protocols (JDBC, ODBC, etc.).
• Excellent communication skills for effective collaboration across diverse teams.
• Exposure to systems integrations for seamless data interoperability.
• Proficiency in query optimization and algorithmic efficiency.

Preferred Qualities:

• Knowledge of machine learning for integrating basic models into data processes.
• Strong collaborative skills and the ability to work effectively in team-oriented environments.
• Experience with Cortex AI, LLM tools, and developing Streamlit applications.
• Familiarity with data governance, security, and compliance best practices.
• Certifications in Snowflake, data engineering, or related fields.
• Experience with data visualization tools like Tableau or Power BI, and ELT/ETL tools such as Informatica.

#LI-USA

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.

Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.

From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you cantake care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

• Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit:

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here .

---

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.

US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - English_formattedESQA508c.pdf

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