185 Data Analyst Data Scientist jobs in Pakistan

**About the Role:**
**Grade Level (for internal use):**
07
**The Team:** We are a truly global firm! With presence in Canada, Philippines, Pakistan and India, you, along with your counterparts will be providing high quality, accurate, and timely content to our customers which is important for their decision-making.
**Impact and Responsibilities:**
+ Cross Content teams are the operational backbone of our company and are pivotal to its success. Metals and Mining is one of the most important data-sets and the only department across all domains providing relevant information to our clients.
+ Indexing: You are going to be indulged in downstream routing of documents to the specific downstream teams
+ Drill results: You would be gathering the information regarding Drill Results (DR) i.e. capture information for early stage mining across global mining belts
+ Press Releases: You shall review monthly, quarterly or annual company reports and extract tabular data through S&P software, and manipulating that data into department specific template
+ You will have to capture comprehensive information on the data tracked by the respective department
+ You'll directly be involved in acquiring knowledge of content sets and building industry knowledge
+ We expect you to providing input and ideas for new collection methods and product improvements related to the covered content sets
+ You will be reviewing feedback involving their content to help correct errors and establish or refine procedures and processes to improve accuracy
+ We anticipate you in keeping up-to-date on industry trends and reporting standards
+ On the top of everything, you are expected to troubleshoot problems or issues and provide meaningful feedback to co-workers
**What We're Looking For:**
**Basic** **Qualifications**
+ Excellent verbal and written communication skills
+ MS Word knowledge, particularly MS Excel (Basic - Intermediate)
+ Positive work attitude
+ Critical thinking skills
+ Research and analytical skills
+ Leadership capabilities
+ Team playing capabilities
+ Industrial knowledge
**Preferred Qualifications:** Fresh graduates to 2 years of experience. Bachelors or Master's degree in **Geology** / **Geo-Physics / Environmental Sciences** .
**Work Shift:** The candidate should be willing to work in rotational (including night) shifts. Ability to multi-task and work in a team environment while following a flexible schedule to meet deadlines.
**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 can take 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: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged 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 ( .
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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 - - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 314892
**Posted On:** 2025-08-19
**Location:** Islamabad, Pakistan

Job Description :

Bestow99 is a dynamic and forward-thinking company dedicated to empowering local talent through high-quality training programs while also offering professional services to both local and international companies. We are seeking a Data Analyst with 2 years of experience to join our E-Learning team in Gilgit.

Responsibilities :
- Analyze and interpret complex data sets to support decision-making.
- Collaborate with cross-functional teams to identify business opportunities.
- Prepare reports and visualizations to communicate findings to stakeholders.
- Ensure data accuracy and integrity by conducting regular audits.

Job Specification :

- Proficiency in data analysis tools (e.g., Excel, SQL, Python).
- Strong analytical and problem-solving skills.
- Experience with data visualization software (e.g., Tableau, Power BI).
- Excellent communication and teamwork skills.

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• Have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems.
• Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, NLP, content understanding, or multi-modal machine learning.
• Strong programming skills in Python and a deep understanding of data structures and algorithms.
• Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow, PyTorch, MXNet).
• Experience with ML tools such as LightGBM, XGBoost, DVC, Weights & Biases.
• Work in a cross-functional team of ML engineers, Product Managers, Designers, and Backend & Frontend engineers who are passionate about their product.
• Deploy ML model pipelines, scale through Big Data, and optimize performance.

Qualifications

• Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Master’s degree or higher preferred).
• Product development experience in consumer-focused companies.
• Technical experience as a software developer or a related role.
• Strong Computer Science fundamentals in object-oriented design, data structures, algorithms, algorithm design, problem-solving, and complexity analysis.

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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.

About the Role:

Location: Remote | Full-time

We are seeking an experienced and motivated Data Scientist to spearhead our data-driven initiatives. The ideal candidate will be responsible for architecting scalable solutions, and applying advanced analytical techniques to solve complex business problems. You will be instrumental in transforming raw data into actionable insights that drive strategy and operational improvements.

Key Responsibilities

• Drive the design, development, and testing of big data applications to ensure the timely delivery of product goals.

• Proactively identifying and implementing code and design optimizations.

• Collaborate closely with data engineers, analysts, and business teams to analyze requirements and ensure data-driven solutions are effectively implemented.

• Develop end-to-end data solutions, from data collection and cleaning to building and deploying predictive machine learning models.

• Conduct exploratory data analysis using statistical methods to uncover trends, patterns, and actionable insights.

• Create compelling data visualizations, dashboards, and reports to communicate complex findings to both technical and non-technical stakeholders.

• Provide data-backed recommendations to support key business decisions and improve strategies.

• Learn and integrate with a wide variety of internal and external systems, APIs, and platforms.

Required Skills & Qualifications

• Minimum of 3+ years of hands-on experience in data science or big data development.

• Proven track record of successfully guiding development projects.

• Expertise in Python and PySpark, including tools like Jupyter Notebooks and environment controllers (e.g., Poetry, PipEnv).

• Hands-on experience with the Databricks platform and Apache Spark.

• Proficiency with relational databases (e.g., PostgreSQL, SQL Server, Oracle) and SQL.

• Strong practical knowledge of data cleansing, transformation, and validation techniques.

• Experience with code versioning tools like Git (GitHub, Azure DevOps, Bitbucket).

• Excellent written and verbal communication skills, with the ability to articulate complex technical concepts clearly.
  
  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

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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

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Business Development and Product Management
• Industries IT Services and IT Consulting and Software Development

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Software Engineering Intern - (IOS, Android, Python) Python Engineer (Onsite, Remittance Salary) Artificial Intelligence & Machine Learning Engineer – AI-ML Senior Software Engineer / Assistant Team Lead - AI/ML

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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

Requirements

• 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

Qualifications

• 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

Ready to Apply?

We're excited to hear from you! Submit your application and join our talented team.

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

Job Openings

• Data Scientist - Experience: 5+ years - Location: Remote - Posted: 05/01/2025 - View Job Details
• React Native Developer - Experience: 5+ years - Location: Islamabad, PK - Posted: 05/01/2025 - View Job Details
• Data Annotator - Experience: 1 year - Location: Remote - Posted: 05/01/2025 - View Job Details

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

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JOB SUMMARY:

TenX is searching for a strategic and inquisitive Data Scientist to develop and deliver data-centered projects. In keeping with this overarching aim, the Data Scientist will be required to outline work requirements, work hands-on and collaborate within the team. You should also harness your mastery of Data Science to consult on various aspects of these and other projects and provide guidance to junior members of the Data Science team. To be successful as a Data Scientist, you should use data to ultimately inform and promote the company's expansion. Top-notch Data Scientist will assume a prominent role in the development of junior staff.

JOB DESCRIPTION:

• Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
• Collating and cleaning data from various entities for use in later phases of the project.
• Working hands-on to realize the successful completion of projects.
• Providing Junior Data Scientists with practical guidance as needed.
• Selecting and employing advanced statistical procedures to obtain actionable insights.
• Cross-validating models to ensure their generalizability.
• Producing and disseminating non-technical reports that detail the successes and limitations of each project.
• Suggesting ways in which insights obtained might be used to inform business strategies.
• Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

JOB SPECIFICATIONS:

• BS in Computer Science, BIT, BBIT (preferred: BS in Data Science).
• Should have 2–4 years experience as a Data Scientist (preferred: 4+ years).
• Banking domain, business intelligence, data warehousing, cross-industry experience (e.g., finance, insurance, healthcare).
• Must be skilled in Python, R, SQL, Machine Learning, Deep Learning.
• Should have experience with databases like MS SQL Server, MySQL, Oracle (preferred: HBase, MongoDB, Snowflake).
• Analytical thinking, problem-solving, teamwork.

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Have a strong background in machine learning, with experience and expertise in personalized machine learning algorithms, especially recommender systems. Hands-on experience in one or more of the areas: recommender systems, machine learning, deep learning, pattern recognition, NLP, content understanding, or multi-modal machine learning. Strong programming skills in Python and a deep understanding of data structures and algorithms. Familiar with architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow, PyTorch, MXNet). Experience with ML tools such as LightGBM, XGBoost, DVC, Weights & Biases. Work in a cross-functional team of ML engineers, Product Managers, Designers, and Backend & Frontend engineers who are passionate about their product. Deploy ML model pipelines, scale through Big Data, and optimize performance. Qualifications

Technical education in Computer Science, Information Science, Engineering, or equivalent experience (Master’s degree or higher preferred). Product development experience in consumer-focused companies. Technical experience as a software developer or a related role. Strong Computer Science fundamentals in object-oriented design, data structures, algorithms, algorithm design, problem-solving, and complexity analysis.

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