machine learning developer

Palladium Pakistan Pvt Ltd

<div><div><div><div>Posted date</div> <div>27th February, 2026</div> <div>Last date to apply</div> <div>5th March, 2026</div>
</div> 
<div><div>Country</div> <div>Pakistan</div> <div>Locations</div> <div>Islamabad</div>
</div> 
<div><div>Category</div> <div>Artificial Intelligence
</div></div> 
<div><div>Type</div> <div>Consultancy</div> <div>Position</div> <div>1</div>
</div> 
<div><div>Experience</div> <div>10 years</div></div></div></div>
 <div>Mid National - AI / Machine Learning Specialist/Developer

E4H FED TA: Embedded Technical Support to the Ministry of National Health Services, Regulation &amp; Coordination (M/o NHSR&amp;C)

Programme Overview

Evidence for Health (E4H) is a Foreign, Commonwealth &amp; Development Office (FCDO)-funded programme aimed at strengthening Pakistan's healthcare system, thereby decreasing the burden of illness and saving lives. E4H provides technical assistance (TA) to the Federal, Khyber Pakhtunkhwa (KP), and Punjab governments, and is being implemented by Palladium along with Oxford Policy Management (OPM).

Through its flexible, embedded, and demand-driven model, E4H supports the government to achieve a resilient health system that is prepared for health emergencies, responsive to the latest evidence, and delivers equitable, quality, and efficient healthcare services. Specifically, E4H delivers TA across three outputs:

Output 1: Strengthened integrated health security, with a focus on preparing and responding to health emergencies, including pandemics.

Output 2: Strengthened evidence-based decision-making to drive health sector performance and accountability.

Output 3: Improved implementation of Universal Health Coverage, with a focus on ending preventable deaths.

Position Summary

The overall goal is to develop a National Digital Health Hub (NDHH) software and implement an integrated, scalable, and interoperable digital health information platform within a six-month timeframe

Specific Objectives

The specific objectives are to:
<div>
<ul><li>Link the remaining two provinces to NDHH through secure, standards-aligned interoperability mechanisms and validated data pipelines;</li></ul>
<ul><li>Operationalise the Practice Hub to deliver AI-enabled advanced analytics and decision support, including explainable insights and scenario-oriented outputs;</li></ul>
<ul><li>Strengthen governance, capacity, and sustainability arrangements so that NDHH is routinely usable and maintainable within Government systems (NHDC/NIH and provincial counterparts).</li></ul>
</div>
Strategic Approach

Phase II will follow the same strategic logic established in Phase 1. The focus will be on connecting/linking existing systems and datasets, support interoperability, ensure secure and ethical use of health data, strengthen capacity for routine use, and build a flexible platform aligned with global standards that can adapt to future health system needs.

Key strategic principles include:
<ul>
<li>Federated interoperability (connect and exchange rather than replace existing provincial systems)</li>
<li>Governance-led implementation (data sharing and decision rights defined up-front)</li>
<li>Incremental rollout with verification (pilot-to-scale with measurable acceptance criteria)</li>
<li>Human-centred adoption (capacity building, usability, and local operational ownership)</li>
</ul>
Scope of Work

As a part of this TA assignment, the consultant(s) will cover the following scope of work:

1 Governance, Coordination, and Data Sharing

Building on Phase 1 governance structures, the consultant(s) will:
<ul>
<li>Strengthen and operationalise national&ndash;provincial coordination mechanisms for NDHH implementation (including provincial inclusion and decision pathways).</li>
<li>Support the completion/update of data sharing instruments (e.g., MoUs/DSA) between M/o NHSR&amp;C, NIH/NHDC and the participating provinces/areas, clarifying roles, responsibilities, and permissible use.</li>
<li>Establish practical governance for AI-enabled decision support (approval workflow for use-cases, safeguards, and change control).</li>
</ul>
2 Provincial Onboarding and Integration (Remaining Two Provinces)
<ul>
<li>Conduct onboarding the two remaining provinces (systems integration, linkage, APIs, metadata alignment, connectivity, and privacy constraints).</li>
<li>Implement and validate secure data exchange pipelines (scheduled ingestion, reconciliation, error handling, and alerting), consistent with the Phase 1 approach to backend integration and validation.</li>
<li>Use and apply existing national metadata packages and indicator mappings to ensure comparability across provinces while retaining provincial context.</li>
<li>Conduct integration testing and provincial UAT with documented sign-off.</li>
</ul>
3 Practice Hub Development (AI-enabled Advanced Analytics)

The consultant(s) will design, develop, test, deploy and operationalise the Practice Hub, including AI models configured and executed in the accordance with NDHH requirements, as a controlled decision-support layer that:
<ul>
<li>Enables authorised users to query integrated datasets and receive interpretable results (trends, comparisons, alerts, &ldquo;&rdquo; what-if&rdquo; scenarios, briefs and short summaries).</li>
<li>Connects with the Knowledge Hub, so results are linked to relevant policies, guidelines, and evidence resources to support learning and consistent decision making..</li>
<li>Implements ethical and safety AI controls to protect privacy, reduce bias, ,explain how results are generated , track system use, and restrict access based on user role.</li>
<li>Uses approved AI services through secure APIs (where approved) to support advanced analysis and summarisation, while protecting sensitive information and tracking data sources.</li>
</ul>
4 Security, Identity, and Access Management
<ul>
<li>Ensure role-based access controls and permissions for new provincial users and for Practice Hub functions (including auditability).</li>
<li>Protect system and data by using encryption, multi-factor authentication, and secure operating practices with national hosting requirements.</li>
</ul>
5 Testing, Quality Assurance, and Deployment
<ul>
<li>Execute a structured test plan: unit, integration, end-to-end, performance/load, security testing, and UAT.</li>
<li>Conduct UAT in the two newly onboarded provinces and ensure the NDHH is ready to for routine use.</li>
<li>Establish monitoring and operational procedures; configure alerts and routine checks (operational sustainability).</li>
</ul>
6 Documentation, Training, Capacity Building, and Handover
<ul>
<li>Produce comprehensive technical documentation (NDHH architecture, APIs, interoperability mechanisms, and end to end data flows), user guides, and training materials and conduct structured training sessions.</li>
<li>Strengthen NIH/NHDC operational capacity through hands-on administration, supervised operations, and progressive handover.</li>
</ul>
Focal points nominated by the Director General (Health) and NIH will be actively engaged in the activity. Staff of HPSIU and the Ministry will also be engaged in the activity.

Sustainability: Capacity Building, Institutionalisation, and/or Transition Planning
Capacity Building: Targeted trainings, on-the-job mentoring, and practical guidance will strengthen NIH/NHDC and provincial capacity to operate, maintain, and routinely use NDHH, including interoperability, analytics, and decision-support functions.

Institutionalisation: NDHH to be embedded within existing government HIS structures through formal governance arrangements, standard operating procedures, data-sharing agreements, and alignment with national data and interoperability standards.

Transition Planning: A phased handover will transfer full operational ownership to NIH/NHDC and provinces, supported by complete documentation, system access transfer, and formal validation of government readiness at the end of Phase II.

Responsibilities

The AI/Machine Learning Specialist/Developer will be responsible for:
<ul>
<li>Inception Report &amp; detailed Workplan including integrated Gantt chart</li>
<li>Provincial onboarding, Governance, Integration and Go-live of the Remaining Two Provinces</li>
<li>Practice Hub V1.0 (AI-enabled advanced analytics)</li>
<li>Security Hardening, Documentation, Capacity Building, and Operational Handover</li>
<li>Final Phase II report</li>
</ul>
Timeline and Days

The level of effort (LOE) for the role is 30 days from May 2026 &ndash; Sep 2026.

Requirement

Technical Expertise
<ul>
<li>Minimum 10 years of experience in machine learning and natural language processing.</li>
<li>Experience with OpenAI, Google AI APIs, and model integration.</li>
<li>Experience applying AI in healthcare/public health data systems</li>
</ul>
Competencies
<ul>
<li>Innovative Thinking</li>
<li>Strong algorithmic and coding skills and data literacy</li></ul></div>

FED TA DigitalHub - Mid STTA AI / Machine Learning Specialist/Developer

Coca-Cola HBC

<div>
 
 
 Department
 
 : Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location
 
 : Egypt (Cairo).
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics.
 
 
 He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

AI Developer

DICETEK LLC

<div>As the Data Scientist within the Data &amp; Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement. 
QUALIFICATIONS &amp; EXPERIENCE:
<ul><li>Bachelor&rsquo;s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred.</li><li>Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.</li><li>Advanced proficiency in programming languages in SAS Base, EMiner,
</li><li>Advanced Hands-on Programming experience in Python.</li><li>Hands on Experience of working on Dataiku Platform for production is required</li><li>Azure Databricks and AWS knowledge is a plus</li><li>Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.</li><li>Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.</li><li>Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.</li><li>SAS, Dataiku certifications would be added advantage.</li></ul></div>

Data Scientist

ADOPLE AI

Role Overview Join Salem's fastest-growing AI startup as a Junior AI Developer! Perfect for final year students and fresh graduates passionate about Generative AI and Agentic AI. We provide comprehensive mentorship to build your career in cutting-edge AI technology.Required Skills &amp; Qualifications<ul><li>Proficient in Python programming with strong coding standards (PEP 8, clean code practices).</li><li>Knowledge of Generative AI concepts (LLMs, prompt engineering), and basic Agentic AI systems (autonomous agents, multi-agent coordination).</li><li>Experience with data manipulation libraries (NumPy, Pandas, Matplotlib), SQL databases, data preprocessing techniques, statistics &amp; mathematics for ML, and Jupyter Notebooks for analysis and prototyping.</li><li>Knowledge in web technologies (HTML, CSS, JavaScript), backend frameworks, Flask/Django), REST API development, JSON handling, and Fast API concepts for AI model deployment.</li><li>Basic understanding of cloud platforms (AWS/GCP) for collaborative development</li><li>Strong English communication skills for technical documentation.</li><li>Problem-solving mindset with logical thinking, eagerness to learn new AI technologies rapidly, and ability to work in fast-paced startup environments What You'll Learn &amp; Do</li><li>Develop simple GenAI applications using pre-trained models (GPT, DALL-E), learn prompt engineering techniques, and create RAG systems with document search capabilities.</li><li>Work on autonomous task execution projects, collaborate on multi-agent systems with coordination patterns, and build AI-powered automation tools.</li><li>Create REST APIs for AI model deployment, learn Docker containerization and cloud platforms (AWS/GCP) for scalable AI service deployment.</li><li>Write clean Python code following PEP 8 standards, practice git version control workflows, participate in code reviews, and create technical documentation.</li><li>Develop web applications integrating AI features using Flask/Django, create interactive demos with Streamlit/Gradio, and work on projects with actual business impact.</li></ul>Preferred Skills (Good to Have) <ul><li>Academic projects involving machine learning or AI applications.</li><li>Internship experience in software development or data science.</li><li>Participation in hackathons, coding competitions or AI challenges.</li><li>Open-source contributions or GitHub portfolio with personal projects.</li><li>Familiarity with LangChain, Hugging Face libraries.</li></ul>What We Offer<ul><li>Mentorship Program: Direct guidance from IIT alumni and industry experts.</li><li>Skill Development: Regular workshops on latest AI trends and technologies.</li><li>Conference Attendance: Sponsor participation in AI conferences and meetups.</li><li>Fast Career Growth: Clear promotion path to Senior AI Developer within 18 months.</li><li>Research Time: 20% time for exploring personal AI interests and innovations.</li><li>Startup Experience: Direct exposure to product development and business strategy.</li></ul>* Looking for the candidates who are in and around Salem, Tamil Nadu*Job Types: Full-time, PermanentPay: ₹10,000.00 - ₹15,000.00 per monthBenefits:<ul><li>Flexible schedule</li><li>Leave encashment</li><li>Paid sick time</li><li>Provident Fund</li></ul>Work Location: In person

Junior AI Developer

Chubb Insurance

<div><ul><li>Work closely with team of data scientists to design, build, and test machine learning models to solve complex business challenges.
</li><li>Researching &amp; implementing state of the art modeling approaches including but not limited to zero-shot/few-shot learning, embedding techniques, fine-tuning etc.
</li><li>Ensure high quality code that meets business objectives, quality standards and secure web development guidelines.
</li><li>Building reusable tools to streamline the modeling pipeline and sharing knowledge.
</li><li>Manage project stakeholder expectations and issue communications on progress.
</li><li>React to shifting priorities without compromising deadlines and momentum.</li></ul></div>
 <div>Minimum Requirements and Qualifications 
<ul><li>Must have:
<ul><li>8+ years&rsquo; experience in Machine Learning (ML), with deep expertise in writing, and reviewing production code in Python.
</li><li>Experience with LLM tooling and frameworks like LangChain, LlamaIndex etc.
</li><li>Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
</li><li>Experience with designing scalable end-to-end Machine Learning/NLP systems.
</li><li>Experience on distributed, high throughput and low latency architecture.
</li><li>Understanding of NLP techniques around text cleaning/pre-processing, entity extraction, encoder-decoder architectures, similarity matching etc.
</li><li>Experience building software on top of containerization technology (Kubernetes, Docker etc.), and familiarity with frameworks/tools such as FastAPI, Uvicorn.
</li><li>Familiarity with Continuous Integration tools such as Jenkins.
</li></ul></li><li>Nice to have:
<ul><li>Experience defining system architectures and exploring technical feasibility trade-offs is a huge plus.
</li><li>Experience in NLP feature engineering and SoTA modeling techniques, such as transformers (e.g., BERT , GPT) is a huge plus.
<ul><li>Familiarity with end-to-end application development using full stack is a plus.
</li><li>Experience in P&amp;C insurance is a plus</li></ul></li></ul></li></ul></div>

Lead Data Scientist

Codash Solutions

MLE Bench &ndash; ML EngineersRole MLE Bench &ndash; ML EngineersYoE 3+ yearsFull-Time Contract (6 Months)Start Date Not Confirmed. Bench role Budget - 550/hrVetting Online assessment -https://developers.turing.com/vetsmith-subscribe/F1872-NU1NJ0PUHSkill ● Minimum 3+ years of overall experience in Machine LearningEngineer or Software Engineer (ML-focused).● Strong proficiency in Python for machine learning and data workflows.● Hands-on experience with model training, evaluation, and inferencepipelines.● Solid understanding of machine learning fundamentals(supervised/unsupervised learning, evaluation metrics, optimization).Availability Full Time Availability (8 Hrs) and 4 hours overlap with PST time zoneAbout TuringBased in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontierAI labs and a trusted partner for global enterprises deploying advanced AI systems. Turingsupports customers in two ways: first, by accelerating frontier research with high-quality data,advanced training pipelines, plus top AI researchers who specialize in coding, reasoning,STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to helpenterprises transform AI from proof of concept into proprietary intelligence with systems thatperform reliably, deliver measurable impact, and drive lasting results on the P&amp;amp;LRole OverviewWe are looking for experienced Machine Learning Engineers (MLE Bench) to contribute tobenchmark-driven evaluation projects focused on real-world machine learning systems. Thisrole involves hands-on work with production-grade ML codebases, model training andevaluation pipelines, and deployment-oriented workflows to help assess and improve thecapabilities of advanced AI systems.The ideal candidate is comfortable bridging research and engineering, working deeply withmodels, data, and infrastructure in realistic ML environments.What does day-to-day life look like?● Work with real-world ML codebases to support MLE Bench&ndash;style evaluation tasks.● Build, run, and modify model training, evaluation, and inference pipelines.● Prepare datasets, features, and metrics for ML benchmarking and validation.● Debug, refactor, and improve production-like ML systems for correctness andperformance.● Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks.● Write clean, reproducible, and well-documented Python code for ML workflows.● Participate in code reviews to ensure high standards of engineering quality.● Collaborate with researchers and engineers to design challenging, real-world MLengineering tasks for AI system evaluation.Requirements● Minimum 3+ years of overall experience as a Machine Learning Engineer or SoftwareEngineer (ML-focused).● Strong proficiency in Python for machine learning and data workflows.● Hands-on experience with model training, evaluation, and inference pipelines.● Solid understanding of machine learning fundamentals (supervised/unsupervisedlearning, evaluation metrics, optimization).● Experience working with ML frameworks (e.g., PyTorch, TensorFlow, JAX, or similar).● Ability to understand, navigate, and modify complex, real-world ML codebases.● Experience writing readable, reusable, and maintainable production-quality code.● Strong problem-solving and debugging skills.● Excellent spoken and written English communication skills.Perks of Freelancing With Turing● Work in a fully remote environment.● Opportunity to work on cutting-edge AI projects with leading LLM companies.Offer Details● Commitments Required: At least 4 hours per day and minimum 20 hours per weekwith overlap of 4 hours with PST.● Engagement Type: Contractor assignment (no medical/paid leave)● Duration of Contract: 3 months (adjustable based on engagement)● Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Brazil,MexicoJob Type: Contractual / Temporary Contract length: 6 monthsPay: ₹500.00 - ₹550.00 per hourExpected hours: No more than 40 per weekBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

AI/ML Developer

S&P Global

About the Role: 
Grade Level (for internal use): 10
 The Team : The Foreseer team delivers digital transformation solutions for information extraction from structures and semi structured documents and websites. Foreseer is a human in the loop platform that combines latest AI/ML advances with a state-of-the-art UI for delivering multiple projects, all powered by a core distributed, cloud native, auto scalable framework. Team comprises of experts in Java and Python language and ML engineers.
 
Job Brief
 
We are looking for a Machine Learning Engineer to help us improve our AI products and create new ML applications.
 ML Engineer responsibilities include transforming data into useful features using machine learning techniques to feed predictive algorithms. To succeed in this role, you should possess outstanding skills in statistical analysis, machine learning methods and feature engineering techniques.
 Your goal is to develop efficient self-learning AI applications.
 
Responsibilities
 Study and transform data science prototypes
 Design AI/ML applications
 Leverage large language models and vision language models for information retrieval
 Select appropriate annotated datasets for Supervised Learning methods
 Use effective feature engineering to transform raw data into useful features
 Find and implement the right algorithms and tools for ML tasks
 Develop ML systems according to requirements
 Train the developed model and run evaluation experiments
 Integrate the models in application flow and deploy at scale
 Perform statistical analysis of results and refine models
 Extend ML libraries and frameworks to apply in various ML tasks
 Remain updated in the rapidly changing field of machine learning
 
Requirements and Skills
 BS or MS degree in Computer Science, AI/ML, Data Science or related field.
 6+ Years hands on experience in AI/ML, Data Science.
 Knowledge of Python and related libraries.
 Ability to effectively write robust and testable code and design software architecture.
 Understanding of ML techniques for feature engineering, data preprocessing, data structures and modelling.
 Strong understanding of AI technologies (e.g. Generative AI, NLP, Computer Vision) and their business applications.
 Hands on experience in leveraging language models for information retrieval.
 Deep understanding of feature engineering techniques, statistics and machine learning algorithms (such as regression, classification, clustering, neural networks, etc.)
 Familiarity with AI platforms (e.g., TensorFlow, PyTorch), libraries (like scikit-learn) and cloud AI services (AWS, GCP, Azure).
 Experience in different data base technologies (like RDBMS, NOSQL)
 Experience in Containerization, cloud platforms, CI/CD, and deployments through CI/CD pipelines, and AWS services like S3, EKS, EC2 etc.
 Proficiency in the development environment, including IDE, web & application server, GIT, Azure DevOps, unit-testing tool and defect management tools
 Strong communication skills
 An analytical mind with problem-solving abilities
 
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 .
 
-----------------------------------------------------------
 
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: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
 
----------------------------------------------------------- 20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
 
Job ID: 325522
 Posted On: 2026-02-18
 Location: Gurgaon, Haryāna, India

Senior Data Scientist

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