data scientist

easypaisa digital bank

<div>
 
 
 About easypaisa digital bank:
 
 
 
 easypaisa is Pakistan&rsquo;s first digital bank and has advanced Pakistan&rsquo;s digital finance landscape. Backed by our shareholders, Telenor Group-a leading telecom operator in Asia and the Nordics- and Ant Group-the force behind Alipay, the world&rsquo;s leading open internet platform, easypaisa deliver secure, convenient financial solutions to millions of Pakistanis.
 
 
 
 
 
 
 Position Summary:
 
 
 
 The role is responsible for driving advanced data science initiatives, leveraging machine learning and Generative AI to deliver actionable insights, predictive models, and intelligent automation across the organization. The incumbent will design, build, and deploy scalable analytical and risk models, support targeted customer engagement and credit decisioning, and enable data-driven strategies through close collaboration with business, BI, and technology teams.
 
 
 
 
 
 
 Duties and Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Contribute to the development, assessment, automation and governance of data science projects for building and enhancing customer understanding as well as targeted campaigns
 </li>
 <li>
 Develop actionable statistical models covering but not limited to predictive, clustering &amp; segmentation (behaviour, payment, lifestyle etc.), digital (app propensity, app churn etc.), stratified sampling across selected KPIs, association rule mining to develop product affinity, etc. in open-source architecture (Python/R etc.)
 </li>
 <li>
 Credit and associated default risk establishment across base. Experience working in credit scoring, probability of default modelling and collections optimization is a plus.
 </li>
 <li>
 Design and development of model deployment pipelines (MLOps)
 </li>
 <li>
 At least 2 years working experience with Gen AI and Agentic AI.
 </li>
 <li>
 Ad hoc drill downs, investigative analytics and profiling exercises using complex SQL queries to be accomplished as part of the day-to-day activities
 </li>
 <li>
 Proactively work with various departments including business heads to provide advanced analytics, data modelling systems and insights
 </li>
 <li>
 Work in close coordination with the BI team in the department as custodian of data science projects and act as bridge between commercial users and Technology
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Knowledge and Experience
 
 
 
 
 Education:
 
 BS(CS/Mathematics/Engineering/Statistics), Masters in relevant area (Preferred)
 
 
 
 Experience:
 
 5+ years&rsquo; experience working in Data Science (ML &amp; Gen AI)
 
 
 
 Behavioral Skills:
 
 
 <ul>
 <li>
 Communication Skills
 </li>
 <li>
 Negotiation Skills
 </li>
 <li>
 Stakeholder and vendor management
 </li>
 </ul>
 
 
 Competencies:
 
 
 <ul>
 <li>
 Experience in SQL, Python
 </li>
 <li>
 Experience in Gen AI and Agentic AI frameworks
 </li>
 <li>
 Data management
 </li>
 </ul>
 
 
</div>

Data Scientist

JazzCash

<div>
 
 
 Title:
 
 Expert Product Analytics
 
 
 Grade Level:
 
 L1/L2
 
 
 Location:
 
 Islamabad
 
 
 Last Date to Apply:
 
 20th April 2026
 
 
 
 What is Expert - Product Analytics
 
 
 
 As an Expert Product Analytics, you will work closely with the product management team to drive data-led decision-making for wealth management products. You will play a pivotal role in collecting, analyzing, and interpreting complex data to support the development and optimization of lending, savings, insurance, and investment products. You will collaborate with multiple stakeholders to turn data into actionable insights, enabling the team to make strategic decisions.
 
 
 &nbsp;
 
 
 
 What Expert Product Analytics does?
 
 
 
 
 
 1. AI-Driven Product Insights &amp; Development
 
 
 <ul>
 <li>
 Support the product management team in developing and refining wealth and lending products using data-driven insights.
 </li>
 <li>
 Build and deploy AI and machine learning models for credit scoring, customer segmentation, churn prediction, and product recommendation.
 </li>
 <li>
 Contribute to end-to-end model lifecycle: feature engineering, training, validation, and monitoring.
 </li>
 </ul>
 
 
 2. Data Analysis &amp; Modeling
 
 
 <ul>
 <li>
 Conduct advanced analysis using Python, R, SQL, Spark, and Hadoop to extract insights from large-scale structured and unstructured data.
 </li>
 <li>
 Develop predictive and risk models to forecast loan performance, default probabilities, and portfolio health.
 </li>
 <li>
 Apply statistical and machine learning techniques (e.g., regression, decision trees, ensemble models, neural networks).
 </li>
 </ul>
 
 
 3. Product Performance Monitoring
 
 
 <ul>
 <li>
 Build and maintain real-time dashboards and KPI trackers to evaluate product performance across lending, savings, and insurance verticals.
 </li>
 <li>
 Identify trends, anomalies, and growth opportunities using automated reporting tools (e.g., Power BI, Tableau).
 </li>
 </ul>
 
 &nbsp;
 
 
 
 4. Market &amp; Customer Analytics
 
 
 <ul>
 <li>
 Analyze customer behavior, transaction patterns, and market dynamics to improve targeting, credit eligibility, and retention strategies.
 </li>
 <li>
 Generate actionable insights to support pricing, product feature design, and campaign optimization.
 </li>
 </ul>
 
 
 5. Experimentation &amp; Continuous Improvement
 
 
 <ul>
 <li>
 Design and evaluate A/B tests, experiments, and pilots to validate new product hypotheses.
 </li>
 <li>
 Collaborate with engineering and product teams to integrate feedback loops into product models for continuous learning.
 </li>
 </ul>
 
 
 6. Risk Analytics &amp; Governance
 
 
 <ul>
 <li>
 Partner with the Risk and Compliance teams to enhance credit risk assessment frameworks using AI-driven models.
 </li>
 <li>
 Monitor model drift and performance degradation, ensuring accuracy and explainability
 </li>
 </ul>
 
 &nbsp;
 
 
 
 JazzCash is an equal opportunity employer. We celebrate, support, and thrive on diversity and&nbsp; are committed to creating an inclusive environment for all employees.
 
 
 
 &nbsp;
 
 
 
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be Expert Product Analytics does?
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's or master's degree in data science
 
 ,
 
 Computer Science, Statistics, Applied Mathematics, or a related quantitative field.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 2-4 years of experience in data science, machine learning, or advanced analytics &mdash; preferably in fintech, banking, or digital financial services.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong command of Python, R, SQL, and familiarity with big data frameworks (Spark, Hadoop).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience building and deploying AI/ML models in production environments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Understanding of credit scoring, risk analytics, and financial modelling is highly preferred.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proficiency in data visualization tools (Power BI, Tableau) and cloud environments (AWS, GCP, Azure).
 
 
 
 
 Benefits
 
 
 
 
 
 Why Join JazzCash?
 
 
 
 As one of the largest digital financial services providers in Pakistan, our objective is to continue to change the lives of our 52 million customers for the better.
 
 
 Recognized&nbsp;as one of the leading employers in the country, JazzCash epitomizes the philosophy that each JazzCash&nbsp;employee is passionately living a better life every day, inspired and enabled by visionary leadership, a unique professional culture, a flourishing lifestyle, and continuous learning and development.
 
 
 &nbsp;
 
 
 Our core values include qualities essential for a positive organizational culture - truthfully guiding entrepreneurial and innovative mindsets, harnessing professional and interpersonal collaboration, and fostering across-the-board customer obsession.
 
 
 &nbsp;
 
 
 This is an opportunity for someone who wants to be part of something transformative, someone who can play a critical role in driving our success. Together, we can empower millions more with the tools necessary to progress in an increasingly digital economy.
 
</div>

Expert Product Analytics

IEngineering

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>04/13/2026
</div></div><div>Job Type
<div>Full time
</div></div><div>Industry
<div>IT Services
</div></div><div>Work Experience
<div>1+ year
</div></div><div>City
<div>Islamabad
</div></div><div>State/Province
<div>Federal Capital
</div></div><div>Country
<div>Pakistan
</div></div><div>Zip/Postal Code
<div>44000
</div></div></ul></div><div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>What we&rsquo;re looking for: 
</div><div>
iENGINEERING is currently seeking an ideal candidate who will assume the responsibility of leveraging AI pipelines to manipulate data across diverse projects. This individual will play a key role in identifying and addressing any issues within the pipeline, while also maintaining performance analytics to guarantee optimal functionality.</div><div></div><h3 class="jobSectionHeader"> 
Requirements</h3><div></div><div> 
What you&rsquo;ll be doing:
 
</div><ul><li>Utilize AI pipelines to manipulate, process, and analyze data across multiple projects based on specific requirements.
 
</li><li>Leverage GIS tools such as QGIS and ArcGIS for advanced geospatial data analysis and visualization. 
</li><li>
Troubleshoot and resolve issues within AI pipelines, including data quality discrepancies, algorithmic errors, and performance bottlenecks. 
</li><li>
Track key metrics, develop Grafana dashboards, and analyze operational data to optimize the balance between automated and manual processes. 
</li><li>
Provide technical guidance and support to team members regarding the configuration, usage, and maintenance of AI pipelines. 
</li><li>
Demonstrate strong communication and collaboration skills by serving as a bridge between Service Delivery and the AI team for smooth project execution. 
</li><li>
Manage and oversee multiple projects simultaneously, effectively prioritizing tasks and consistently meeting deadlines. 
</li><li>
Continuously learn and adapt to emerging technologies and best practices in AI, GIS, and data analytics. 
</li><li>
Ensure compliance with data security policies and maintain high standards of data integrity across all AI pipeline operations. 
</li></ul><div>
What you&rsquo;ll bring along: 
</div><ul><li>
Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 
</li><li>1+ years of hands-on experience in data analytics, AI pipelines, or related technical roles. 
</li><li>
Proficiency in SQL and Python for exploratory data analysis (EDA) and data processing, with experience using libraries such as Pandas, NumPy, Matplotlib, GeoPandas, and Shapely. 
</li><li>
Experience working with geospatial data, including tools like QGIS, ArcGIS, and other ESRI products. 
</li><li>
Strong analytical and problem-solving abilities, with the capability to diagnose and resolve technical issues efficiently. 
</li><li>
Detail-oriented approach with a strong commitment to delivering high-quality outputs. 
</li><li>
Experience in performance analytics, dashboarding, or deriving actionable insights from data. 
</li><li>
Knowledge of Transportation Infrastructure or Asset Management domains is a plus. 
</li><li>
Certifications in AI, data analytics, or related areas are considered an advantage. 
</li></ul><div>
What we offer: 
</div><ul><li>
Integral role in our journey to make roads safer and save lives that are lost due to road accidents: Vision Zero. 
</li><li>
The chance to impact the success of our constantly growing project within the organization, iENGINEERING. 
</li><li>
Stability of an established company, iENGINEERING. 
</li><li>
Autonomous and empowering culture with high degree of freedom. 
</li><li>
Centrally located office in Blue Area, Islamabad. 
</li><li>
A competitive compensation package. 
</li><li>
20 days of annual/sick leaves plus gazette holidays. 
</li></ul><div>
A little about us: 
</div><div>
iENGINEERING, aims to revolutionize the entire road asset management chain: from collecting roadway/drone imagery to extracting features of interest to providing data maps and decision support systems. We are revamping our end-to-end product and service line to deliver up-to-date and accurate road data to our customers. This data allows road authorities in the US to develop maintenance plans and take measures to make roads safer for everyone. These authorities no longer need to rely on tedious, expensive, and unreliable processes to get their hands around this data. Countermeasures taken by road authorities based on this data not only save lives but also contribute towards our deep passion of making Vision Zero a reality.</div><div></div><div> 
iENGINEERING is an equal employer and values diversity. We are committed to equal employment opportunity regardless of sex, race, color, religion, ancestry, age, marital status, or disability. All employment is decided on the basis of qualifications, merit, and business need.</div></div></div></div>

Associate Data Analyst

Zones IT Solutions

<div>
 
 Description
 
 
 
 Company Overview:
 
 
 When it comes to IT solution providers, there are a lot of choices. But when it comes to providers with innovative and differentiating end-to-end service offerings, there&rsquo;s really only one: Zones &ndash; First Choice for IT.TM
 
 
 Zones is a Global Solution Provider of end-to-end IT solutions with an unmatched supply chain. Positioned to be the IT partner you need, Zones, a Minority Business Enterprise (MBE) in business for over 35 years, specializes in Digital Workplace, Cloud &amp; Data Center, Networking, Security, and Managed/Professional/Staffing services. Operating in more than 120 countries, leveraging a robust portfolio, and utilizing the highest certification levels from key partners, including Microsoft, Apple, Cisco, Lenovo, Adobe, and more, Zones has mastered the science of building digital infrastructures that change the way business does business ensuring whatever they need, they can Consider IT Done. Follow Zones, LLC on Twitter @Zones, and LinkedIn and Facebook.
 
 
 Position Overview
 
 
 The Data Engineer will build and manage the end-to-end data ecosystem across pipelines, transformations, modeling, quality, and monitoring in an Azure-first environment. As the data engineer for the team, this role requires strong technical depth, full ownership, and the ability to support both operational and analytical data needs. The ideal candidate brings hands-on expertise with Azure Data Factory, Azure Databricks, Azure SQL, and integrations with APIs and Azure services, and is comfortable managing data pipelines, ensuring data quality, enabling security, and supporting Power BI datasets to deliver reliable and well-structured data to the business.
 
 
 
 What You&rsquo;ll Do As The Data Engineer
 
 
 
 Employees employed in the role of Data Engineer shall be required to apply their independent mind and demonstrate intellectual abilities in their decision-making.
 
 
 The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. This job description is not intended to be a comprehensive list of the duties and responsibilities of the position, and the duties and responsibilities may change without notice.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain data pipelines using Azure Data Factory for batch and incremental loads.
 </li>
 <li>
 Develop transformation workflows in Azure Databricks.
 </li>
 <li>
 Design and optimize Azure SQL schemas, tables, queries, indexes, and stored procedures.
 </li>
 <li>
 Integrate data from APIs, Logic Apps, and Function Apps, ensuring accuracy and consistency.
 </li>
 <li>
 Implement data quality, validation, and monitoring, with alerts and health checks for pipelines.
 </li>
 <li>
 Ensure data security and governance, including PII handling, access policies, and Key Vault.
 </li>
 <li>
 Collaborate with application and integration engineers on API-driven and event-driven data requirements.
 </li>
 <li>
 Support Power BI at a basic level (datasets, model optimization, refresh schedules)
 
 
 </li>
 </ul>
 
 What You Will Bring To The Team
 
 
 
 <ul>
 <li>
 Around 5 years of hands-on experience as a Data Engineer with end-to-end ownership of data pipelines and models.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Azure Data Factory (ADF)
 </li>
 <li>
 Azure Databricks
 </li>
 <li>
 Azure SQL
 </li>
 </ul>
 <li>
 Solid understanding of ETL/ELT patterns, data modeling, and orchestration.
 </li>
 <li>
 Comfortable integrating with APIs, Logic Apps, and Function Apps.
 </li>
 <li>
 Working knowledge of Power BI datasets and refresh management.
 </li>
 <li>
 Clear communication skills and the ability to work independently and cross-functionally.
 
 </li>
 </ul>
 Zones offers a comprehensive Benefits package
 
 
 At Zones, we are committed to fostering an inclusive and diverse workplace where every team member is valued and supported. We offer life insurance, optional health insurance, EOBI, and a voluntary pension scheme in line with Company policy. Employees also enjoy additional perks such as Complimentary meals, and access to our in-house gym.
 
 
 We take pride in being an equal opportunity employer and remain dedicated to maintaining a workplace free from discrimination of any kind. If you are passionate about driving innovation in IT, sales, engineering, or operations, Zones provides a dynamic and collaborative environment to help you grow your career.
 
 
 All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy.
 
 
 Job Timings: 8:00 PM to 5:00 AM (Pakistan Time)
 
 
</div>

Data Engineer

Telenor

<div>Company: Telenor Shared Services Pakistan 
Reporting to: Head of Product &amp; Innovation
Job Group: 2B/3
Location: Islamabad
Department: Telenor Linx
Why you should join Telenor Shared Services Pakistan
At Telenor Shared Services Pakistan, you&rsquo;ll lead a high-impact squad, drive E2E culture, and champion shared solutions across business units. We value proactive leadership, alignment, and collaboration in a diverse, inclusive environment.
About Telenor Shared Services Pakistan
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.
Position Related
Telenor Linx is a company within the Telenor Group. We partner with global digital players such as Google, Meta and Netflix, and Mobile Network Operators worldwide, to provide the best possible user experiences. We secure connectivity for over 200 million subscribers, enabling them to stay connected independent of where they are. We offer a broad set of products and services as core telco services such as international voice, messaging, data roaming for Telenor, including software development of cloud-native solutions connecting mobile operators and digital service providers, globally, visit telenorlinx.com.<ul><li>
Goals</li><li>
Translate complex, multi-source data into clear, business-ready narratives that directly influence strategic and operational decisions.</li><li>
Lead analysis across &ldquo;what happened, why it happened, what will likely happen, and what should be done,&rdquo; enabling proactive rather than reactive business actions.</li><li>
Leverage GenAI tools and workflow automation to improve speed, accuracy, and scalability of analysis while applying strong judgment on output reliability.</li><li>
Promote data-backed actionability across teams, simplify complex patterns for stakeholders, and collaborate cross-functionally to prioritize measurable business impact.</li></ul>
Key Responsibilities<ul><li>
Convert organizational data into deep insights with no-code and low-code tools</li><li>
Handhold end users using generative AI to create insights</li><li>
Design statistically accurate business analysis models such as product profitability, financial risk exposure, sales opportunities, etc.</li><li>
Help engineering teams source the right data and help business users build the right understanding from the data by building intermediary analysis models</li><li>
Design statistical analysis models that help answer key business questions</li><li>
Design context-sensitive, meaningful, interactive visualizations that are consumable by both internal users and external customers</li><li>
Design use cases that help apply insights into downstream business workflows</li><li>
Develop GenAI driven workflows for business analysis</li><li>
Design statistical analysis models that help answer key business questions</li><li>
Apply agentic orchestration to automate multi‑step data analysis workflows and enable autonomous insight generation</li></ul>
Note: Above goals and job descriptions are indicative and subject to change
Eligibility Criteria
Experience and Qualification:<ul><li>
Extensive experience with data analysis in telco or digital domains</li><li>
Several years of experience with business analysis and building models to answer key business questions</li></ul>
Relevant bachelor&rsquo;s or master&rsquo;s degree (e.g. Mathematics, Computer Science, Statistics, Business Administration (MBA) or similar)
Functional Skills / Knowledge Areas&middot; A collaborative and goal-oriented approach<ul><li>
Experience with Python and SQL</li><li>
Experience with inferring statistical models e.g. structural equation modeling, multi-level modeling, MANOVA, survival analysis, time-series, volatility prediction, Markov chains, clustering, segmentation, PCA, etc.</li><li>
Experience automating the business analysis workflow with GenAI tools</li><li>
Experience with no-code tools to combine Tableau data in agentic workflow platforms</li><li>
Some experience in identifying data quality issues and building data quality controls</li><li>
Experience working with enterprise class data platforms - RedShift, Databricks, dbt Cloud and Tableau</li><li>
Some understanding of data engineering is preferred, for e.g. setting up data pipelines and data APIs.</li><li>
Some experience with Model Context Protocol for data analysis</li><li>
Having excellent communication and interpersonal skills with the ability to interact effectively with clients and stakeholders at all levels</li><li>
A persistent attitude that addresses challenges and seeks effective solutions</li></ul></div>

Senior Data Analyst

Job Bank Recruitment Network

DATA ENGINEER &mdash; AI &amp; MODEL TRAININGJob Bank &mdash; AI Business Engine DevelopmentLocation: Remote (Pakistan) Language: Must speak Fluent EnglishSalary: Competitive &mdash; Based on Experience---About Job BankJob Bank is a UK‑focused platform helping people start recruitment and training businesses through two simple annual plans (&pound;100 &amp; &pound;200). We are now building Job Bank AI &mdash; a specialised AI system designed to help users create and scale their own recruitment or training business.Our AI ecosystem includes:<ul><li>Recruitment AI</li><li>Training &amp; Course AI</li><li>Business Builder AI</li><li>Marketing/Outreach AI</li><li>AI Assistants (Recruiter / Trainer / Business Coach / Operations)</li><li>Business Engine (AI Tool Suite)</li></ul>We are building a vertical AI platform, with deep industry‑specific intelligence &mdash; NOT a generic chatbot.This is your opportunity to become a foundational part of a fast‑growing AI product used across the UK.---Role OverviewWe are looking for a Data Engineer who can prepare, structure, clean and optimise datasets for AI fine‑tuning and retrieval systems.Your work will directly power:<ul><li>fine‑tuned recruitment models</li><li>training/course intelligence</li><li>business‑building AI</li><li>outreach and marketing AI</li><li>autonomous AI assistants</li><li>AI-driven games and simulations</li></ul>This role is crucial to the accuracy, reliability and performance of Job Bank AI.---Key ResponsibilitiesData Preparation &amp; Engineering<ul><li>Collect datasets related to recruitment, training, business planning, marketing, and operations</li><li>Clean and standardise raw data (text, CSV, JSON, documents)</li><li>Label and structure data into instruction formats for LLM training</li><li>Build datasets for fine‑tuning small/medium models</li><li>Develop evaluation datasets for model scoring</li></ul>Data Architecture &amp; Pipelines<ul><li>Build and maintain ETL pipelines for AI model ingestion</li><li>Create scalable data workflows to support training cycles</li><li>Manage datasets using tools like Pandas, PySpark or equivalent</li><li>Optimise dataset quality, consistency, and token efficiency</li></ul>Vector Databases &amp; Retrieval<ul><li>Work with embeddings and vector databases (FAISS, Chroma, Pinecone, Weaviate)</li><li>Build and maintain retrieval datasets for RAG systems</li><li>Ensure high‑quality indexing for search, scoring and assistant use</li></ul>AI Model Support<ul><li>Support AI/ML engineers during fine‑tuning cycles</li><li>Prepare domain‑specific datasets for niche models</li><li>Validate and test model outputs against evaluation sets</li><li>Assist with dataset revisions and incremental model improvements</li></ul>Collaboration<ul><li>Work with AI Engineers to support model training</li><li>Work with Full‑Stack Developers to integrate datasets into the platform</li><li>Work directly with the founder to align on roadmap and priorities</li></ul>---Technical Skills (Must Have)Data Engineering<ul><li>Data cleaning, validation, normalisation</li><li>ETL pipeline development</li><li>JSON, CSV, XML processing</li><li>Strong Python (Pandas, NumPy)</li><li>Experience with large text datasets</li><li>Dataset versioning and quality control</li></ul>AI/Data Skills<ul><li>Experience preparing datasets for LLM fine‑tuning</li><li>Understanding of instruction tuning formats</li><li>Embeddings &amp; vector stores (FAISS, Pinecone, Chroma)</li><li>RAG data preparation</li><li>Working knowledge of tokenisation and dataset optimisation</li></ul>General<ul><li>Strong attention to detail</li><li>Ability to work quickly and independently</li><li>Fluent English communication skills</li><li>Experience supporting AI development teams</li><li>Ability to think like a product-focused engineer</li></ul>---Bonus Skills (Nice to Have)<ul><li>Experience with recruitment or training datasets</li><li>Knowledge of course design or HR workflows</li><li>Familiarity with LangChain, LlamaIndex, or similar</li><li>Exposure to machine learning pipelines</li><li>Experience working with international/remote teams</li></ul>---What We Offer<ul><li>Competitive salary (based on expertise)</li><li>Long‑term role with growth potential</li><li>Work on a high‑impact AI product</li><li>A stable, ambitious product roadmap</li><li>Flexible remote working</li><li>Supportive, fast‑paced, visionary team</li><li>Opportunity to build category‑defining AI</li></ul>---Why This Role MattersYou will be the engine behind our AI intelligence. Your datasets will shape:<ul><li>how accurately the AI writes job ads</li><li>how well it scores CVs</li><li>how intelligent the business plans are</li><li>how powerful the training/courses become</li><li>how effective the assistants behave</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs100,000.00 per monthWork Location: Remote

S&P Global

About the Role: 
Grade Level (for internal use): 07
 The Team: The current opening is with S&P’s Transactions division that publishes Mergers & Acquisitions and Capital Market data. We collect and validates data using search tools, press releases, company websites, stock exchange websites and regulatory filings with a view to provide in-depth, accurate and timely information about different types of corporate actions such as M&A, placements, offerings, buybacks etc., which is then provided to our clients in the form of a formulated end product for S&P Global Market Intelligence.
 
The Impact: This role will influence transactions dataset. In addition to collecting and validating the data, this role may require working with peers, other stakeholders and on process improvement projects. This position is an excellent stepping stone to understand M&A, PO and PP domain, that will allow you to gain a comprehensive understanding through financial reporting standards, and enable you to learn facets of corporate actions, and as well as apply this knowledge to your daily responsibilities.
 What’s in it for you: Primarily responsible for day-to-day collection and validation of transactions. Once strong fundamental understanding of the dataset and proficiency at workflows is developed, this role would require working with new talent to develop/enhance their skillset and working on process improvement projects including LEAN/automation projects that supports multiple SPGMI products.
 
Key Responsibilities: 
<ul>
<li>High quality data collation, analysis, extraction and entering the data in work tools as per guideline specifications.</li>
<li>Extract and validate required information using search tools, press releases and websites, trade documents and regulatory filings</li>
<li>Understand the working of the dataset, be aware of the workflows and have strong working knowledge of work tools</li>
<li>Deliver on predefined individual and team targets including delivering outcomes with quality and excellence.</li>
<li>Provides input and ideas for new collection methods and product enhancements related to the dataset</li>
<li>Work on projects as an when they come up and ensure that they are completed within the given time span maintaining the desired quality</li>
<li>Troubleshoots problems or issues and provide support to the team</li>
</ul>
Basic Qualifications: 
Bachelors/ master's in finance.
 Fresher or up to 6 months of experience in Financial Research, Data Analytics and Quality Assurance
 Good research and analytical skills
 Articulate and fluent communication
 Knowledge of SQL and VBA is preferred
 Ability to handle multiple tasks simultaneously
 Ability to work and communicate effectively with stakeholders globally
 Willingness to work in all shifts on rotational basis (Morning, Evening & Night)
 
What’s In It For You?
 
Our Mission: 
Advancing Essential Intelligence.
 
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. Join us and help create the critical insights that truly make a difference.
 
Our Values: 
Integrity, Discovery, Partnership
 
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: https://spgbenefits.com/benefit-summaries
 
Global 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 reportfraud@spglobal.com . 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: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal
 ----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 325877
 Posted On: 2026-03-30
 Location: Islamabad, Islamabad, Pakistan

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