Explore exciting Data Scientist jobs in 555 Data Scientist jobs in Delhi
Data Scientist
Posted 15 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
09
**The Team:**
As a member of the Data Transformation team you will work on building ML powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients. You will spearhead development of production-ready AI products and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.
**The Impact:**
+ The Data Transformation team has already delivered breakthrough products and significant business value over the last 3 years.
+ In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.
**What's in it for you:**
+ Be a part of a global company and build solutions at enterprise scale
+ Collaborate with a highly skilled and technically strong team
+ Contribute to solving high complexity, high impact problems
**Key Responsibilities**
+ Design, Develop and Deploy ML powered products and pipelines
+ Play a central role in all stages of the data science project life cycle, including:
+ Identification of suitable data science project opportunities
+ Partnering with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
+ Evaluation/interpretation of results and presentation to business leaders
+ Performing exploratory data analysis, proof-of-concept modelling, model benchmarking and setup model validation experiments
+ Training large models both for experimentation and production
+ Develop production ready pipelines for enterprise scale projects
+ Perform code reviews & optimization for your projects and team
+ Spearhead deployment and model scaling strategies
+ Stakeholder management and representing the team in front of our leadership
+ Leading and mentoring by example including project scrums
**What We're Looking For:**
+ 2+ years of professional experience in Data Science domain
+ Expertise in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
+ Experience with SOTA models related to NLP and expertise in text matching techniques, including sentence transformers, word embeddings, and similarity measures
+ Expertise in probabilistic machine learning model for classification, regression & clustering
+ Strong experience in feature engineering, data preprocessing, and building machine learning models for large datasets.
+ Exposure to Information Retrieval, Web scraping and Data Extraction at scale
+ OOP Design patterns, Test-Driven Development and Enterprise System design
+ SQL (any variant, bonus if this is a big data variant)
+ Linux OS (e.g. bash toolset and other utilities)
+ Version control system experience with Git, GitHub, or Azure DevOps.
+ Problem-solving and debugging skills
+ Software craftsmanship, adherence to Agile principles and taking pride in writing good code
+ Techniques to communicate change to non-technical people
**Nice to have**
+ Prior work to show on Github, Kaggle, StackOverflow etc.
+ Cloud expertise (AWS and GCP preferably)
+ Expertise in deploying machine learning models in cloud environments
+ Familiarity in working with LLMs
**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 ( .
---
**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), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:**
**Posted On:**
**Location:** Gurgaon, Haryana, India
Data Scientist
Posted 15 days ago
Job Viewed
Job Description
We are seeking a highly skilled Data Scientist with 6 to 12 years of experience to join our team. The ideal candidate will have expertise in Statistics Azure Open AI Service EDA Airflow Knowledge Graph ML Ops Machine Learning Cloud AutoML Dialogflow OpenCV Artificial Intelligence Natural Language Processing Deep Learning PyTorch AI enabled chatbot Tensorflow R Statistical Package Python and Search Engine Optimization.
**Responsibilities**
+ Lead the development and implementation of machine learning models to solve complex business problems
+ Oversee the application of statistical techniques to analyze large datasets and extract meaningful insights
+ Provide expertise in Azure Open AI Service to enhance AI capabilities within the organization
+ Conduct exploratory data analysis (EDA) to identify trends patterns and anomalies in data
+ Utilize Airflow to manage and automate data workflows and pipelines
+ Implement knowledge graphs to improve data relationships and insights
+ Apply ML Ops practices to streamline the deployment and monitoring of machine learning models
+ Develop and optimize machine learning algorithms using Cloud AutoML and other tools
+ Integrate Dialogflow to create and manage AI-enabled chatbots for customer interaction
+ Utilize OpenCV for computer vision tasks and image processing
+ Apply artificial intelligence and natural language processing techniques to enhance data analysis
+ Implement deep learning models using PyTorch and Tensorflow for advanced data analysis
+ Use R Statistical Package and Python for data manipulation analysis and visualization
+ Optimize search engine performance through effective SEO strategies
+ Collaborate with cross-functional teams to ensure alignment of data science projects with business objectives
+ Communicate findings and recommendations to stakeholders in a clear and concise manner
+ Stay updated with the latest advancements in data science and machine learning technologies
**Qualifications**
+ Must have strong experience in Statistics and Azure Open AI Service
+ Must be proficient in EDA Airflow and Knowledge Graph
+ Must have expertise in ML Ops Machine Learning and Cloud AutoML
+ Must be skilled in Dialogflow OpenCV and Artificial Intelligence
+ Must have experience in Natural Language Processing and Deep Learning
+ Must be proficient in PyTorch AI enabled chatbot and Tensorflow
+ Must have strong knowledge of R Statistical Package and Python
+ Must have experience in Search Engine Optimization
+ Nice to have experience in other data science and machine learning tools and technologies
+ Must have excellent communication and collaboration skills
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist
Posted 3 days ago
Job Viewed
Job Description
TCS is Hiring Data Scientist For PAN India location
Experience : 10 - 16 years
Mode of interview : Virtual
Location : PAN India
JOB DESCRIPTION:
Must have:
- Excellent knowledge AI/ML including algorithm development
- Machine Learning Modelling, Data Analysis & Pre-processing, Synthetic Data Generation
- Python, Statistical Analysis, Domain Expertise
- Develops and refines analytical methods using traditional machine learning to extract insights and build predictive models. Trains and validates ML models to solve business problems, requiring a strong foundation in statistical analysis and data manipulation. Focuses on established ML techniques and model validation for reliable results.
Data Scientist
Posted 14 days ago
Job Viewed
Job Description
JD- DATA SCIENTIST
Work experience - For Juniors- 0-2 years, For Associates- 2-4 years
Qualification - Master’s/Bachelor’s in Computer science/Data science/Mathematics/Statistics
or related disciplines.
Job Brief:
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem solving skills are essential for interpreting data. We also want
to see a passion for machine learning and research.
Must have Skills:
● Prior experience in working with Flask based APIs for backend development
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software
architecture
● Outstanding communication and organizational skills
● Strong project management skills
● High proficiency in using Python/Spark, Hadoop platforms,Tableau, SQL, NoSQL, SAS or R
● Experience in using services like Azure, Databricks, AWS, Snowflake
● Proficient with Numpy, Pandas, Matplotlib, Scipy, Web Scraping, Data Structures, Sklearn, NLP, Deep
Learning
● Strong mathematical and statistical skills
● Experience deploying scalable ML solutions on AWS or Azure.
● Knowledge of Pytorch/Tensorflow,Kubernetes, Docker.
● Experience with the LLM stack (Langchain, Langsmith, Uptrain, Llamaindex,
haystack) and vector databases (FAISS,Pinecone, opensearch)
● NLP and Image analysis solutions into production.
Good to have skills:
● Selecting features, building and optimizing classifiers using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building analytic
systems
● Procession, cleansing, and verifying the integrity of data used for analysis
● Work on time bound projects
Data Scientist
Posted 15 days ago
Job Viewed
Job Description
Job Description – Data Scientist
- Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks.
- Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel.
- Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features.
- Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
- Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements.
- Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals.
- Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral)
- Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc
Required Qualifications
- Bachelor's degree in Computer Science, AI, Engineering, or a related technical field.
- 2 - 5 years of professional software development experience with a strong proficiency in Python.
- Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models.
- Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.).
- Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting).
- Strong analytical and problem-solving skills, with a passion for building intelligent systems.
Preferred Qualifications
- Experience with cloud platforms like Azure, AWS, or GCP.
- Experience with MLOps practices and tools for deploying and monitoring models in production.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
- Active contributions to open-source AI/ML projects
Think global. Think BIG.
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Data Scientist
Posted today
Job Viewed
Job Description
JD- DATA SCIENTIST
Work experience - For Juniors- 0-2 years, For Associates- 2-4 years
Qualification - Master’s/Bachelor’s in Computer science/Data science/Mathematics/Statistics
or related disciplines.
Job Brief:
In this role, you should be highly analytical with a knack for analysis, math and statistics.
Critical thinking and problem solving skills are essential for interpreting data. We also want
to see a passion for machine learning and research.
Must have Skills:
● Prior experience in working with Flask based APIs for backend development
● Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software
architecture
● Outstanding communication and organizational skills
● Strong project management skills
● High proficiency in using Python/Spark, Hadoop platforms,Tableau, SQL, NoSQL, SAS or R
● Experience in using services like Azure, Databricks, AWS, Snowflake
● Proficient with Numpy, Pandas, Matplotlib, Scipy, Web Scraping, Data Structures, Sklearn, NLP, Deep
Learning
● Strong mathematical and statistical skills
● Experience deploying scalable ML solutions on AWS or Azure.
● Knowledge of Pytorch/Tensorflow,Kubernetes, Docker.
● Experience with the LLM stack (Langchain, Langsmith, Uptrain, Llamaindex,
haystack) and vector databases (FAISS,Pinecone, opensearch)
● NLP and Image analysis solutions into production.
Good to have skills:
● Selecting features, building and optimizing classifiers using machine learning techniques
● Data mining using state-of-the-art methods
● Extending company’s data with third party sources of information when needed
● Enhancing data collection procedures to include information that is relevant for building analytic
systems
● Procession, cleansing, and verifying the integrity of data used for analysis
● Work on time bound projects
Data Scientist
Posted 1 day ago
Job Viewed
Job Description
Job Description – Data Scientist
- Design, build, and maintain robust and scalable applications using Python and advanced AI frameworks.
- Develop complex, multi-step workflows and autonomous systems using LLM Orchestrators like LangChain, LlamaIndex, or Semantic Kernel.
- Integrate AI models and agentic systems with our existing data pipelines, APIs, and infrastructure.
- Collaborate with product managers, data scientists, and software engineers to define requirements and deliver high-impact AI features.
- Establish AI Development Standards: Design and implement industry best practices for building, testing, and deploying scalable AI Agents (RAG, Prompting, Chat Completion, Multi-agent, Fine-Tuning), particularly focusing on generative models and large language models (LLMs) using both proprietary and open-source frameworks.
- Stay Ahead of Industry Trends: Continuously research and adopt the latest advancements in AI, ML, and generative models to drive innovation and operational improvements.
- Engage in Cross-Team Collaboration: Partner with stakeholders across data science, engineering, operations, and business teams to align AI initiatives with broader organizational goals.
- Train and manage the inference of deep learning models (Bert/Roberta/XL-Net/T4REC) and locally hosted LLMs (Llama/Qwen/Mistral)
- Manage model training, serving and response times at scale by techniques like model quantisation, QAT (quantisation aware training), speculative decoding, flash attention etc
Required Qualifications
- Bachelor's degree in Computer Science, AI, Engineering, or a related technical field.
- 2 - 5 years of professional software development experience with a strong proficiency in Python.
- Demonstrated hands-on experience working with LLMs (e.g., GPT series, Llama, Claude, Gemini) via APIs or open-source models.
- Proven experience building applications with an LLM Orchestrator framework (LangChain, LlamaIndex, etc.).
- Solid understanding of AI Agent architectures and concepts like ReAct (Reasoning and Acting).
- Strong analytical and problem-solving skills, with a passion for building intelligent systems.
Preferred Qualifications
- Experience with cloud platforms like Azure, AWS, or GCP.
- Experience with MLOps practices and tools for deploying and monitoring models in production.
- Familiarity with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
- Active contributions to open-source AI/ML projects
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Data scientist
Posted today
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Job Description
Do sign up and Learn more before applying for job : This will increase your chance of getting shortlisted. If you have not signed up, we will not be able to proceedRole DescriptionThis is a full-time remote role for a Data Scientist. The Data Scientist will be responsible for analyzing large datasets, developing predictive models, and conducting statistical analysis. Daily tasks include data mining, data visualization, and interpreting complex data patterns. The role requires collaboration with cross-functional teams to enhance data-driven decision-making processes and improve overall data analytics strategies.QualificationsProficiency in Data Science and StatisticsExpertise in Data Analytics and Data AnalysisSkills in Data VisualizationExcellent problem-solving and analytical skillsStrong programming skills, preferably in Python or RExperience with machine learning algorithms and techniquesAbility to work independently and remotelyMaster's degree in Data Science, Statistics, Computer Science, or related field
Data scientist
Posted today
Job Viewed
Job Description
ABOUT LITTLE PLACE LABS Little Place Labs is reimagining how satellites process and deliver intelligence from orbit. We specialize in satellite edge computing, developing advanced solutions that process data directly on board, enabling real-time analysis, rapid decision-making, and a significant reduction in data downlink needs. Our vision is to turn satellites into autonomous, intelligent systems that don’t just capture data, but interpret it instantly. This capability unlocks critical advantages across defense, environmental monitoring, and global communications, providing insights with speed, efficiency, and security right from space.Based across the US, Europe, and India, our team works on solving complex challenges in earth observation, space situational awareness, and autonomous satellite operations. Our rapidly growing team of mission-driven, space enthusiasts is passionate, innovative, and committed to a better future for planet Earth, the little place that we all call home.POSITION SUMMARY For candidates based in India only.As the Data Scientist and reporting to the Head of Data Science, you will be a part of the India development team of the LPL’s space data analytics product Orbitfy, explore different use cases for the technology, and work closely with the CTO to strategize the product and the company's roadmap for the next 3-4 years.Little Place Lab's data science team is the heart and the brain of our product development, offering space-derived analytics as the source of truth for key stakeholders so they can make critical and timely decisions.We’re looking for someone who is hands-on, embraces AI tools in day-to-day workflows, and leverages them to boost productivity and accelerate results. You will work closely with engineering, product, and the CTO to apply sophisticated modeling techniques to a modern data stack and build the future of Space Edge Computing.This is a remote-first role, requiring excellent communication skills to coordinate with global teams and external partners. Some travel within India or internationally may be required.RESPONSIBILITIESAI-Driven Development: Proactively use modern AI tools to enhance productivity across the data science lifecycle (data wrangling, model design, testing, documentation, etc.).Algorithm Development: Design and implement state-of-the-art computer vision and ML models for satellite imagery (optical, SAR, multispectral, hyperspectral, thermal).Model Optimization: Train and fine-tune deep learning models for edge deployment (on-board satellites), balancing performance with efficiency, power, and computational constraints.Provide MLOps, orchestration, and workflow best practices.Cross-Functional Collaboration: Work with GIS engineers, software teams, and product managers to integrate ML solutions into Orbitfy’s broader pipeline.Innovation & Research: Stay ahead of emerging trends in Edge AI, ML, and remote sensing, and translate them into practical solutions for space applications.Data Handling: Process large, complex datasets from diverse sensors; design robust preprocessing, augmentation, and feature extraction workflows.Communication & Reporting: Clearly articulate technical concepts, results, and trade-offs to both technical and non-technical stakeholders in a distributed team.Quality & Validation: Ensure robustness, reliability, and reproducibility of solutions through systematic testing, benchmarking, and validation.Documentation and Reporting: Maintain detailed documentation of algorithms, models, and processes; prepare reports and presentations for technical and non-technical audiences.SUCCESS METRICSDelivery of LPL’s machine learning modules on schedule for satellite missions or user trials.Work on the deployment of LPL’s products for multiple satellite missions.Demonstrated productivity gains and accelerated project outcomes through the adoption of AI tools.Effective collaboration and communication across distributed teams.Contributions that shape the product roadmap and strengthen Little Place Labs’ position in edge-based space intelligence.REQUIREMENTSEducation: Bachelor’s or Master’s in Computer Science, Data Science, Artificial Intelligence, or a related field.Experience: 3–8 years in data science, with demonstrated hands-on experience in computer vision, image processing, or machine learning.Technical Skills: Strong in Python; experience with frameworks like Tensor Flow, Py Torch, Open CV. General Software engineering: cloud infrastructure, Docker, git best practices, etc. Exposure to C/C++, CUDA, ONNX, Tensor RT, Open VINO, or FPGA acceleration is a plus. Experience with architectures such as CNNs, Vi Ts, GANs and foundational models etc Experience with model compression is a plus.Domain Knowledge: Familiarity with satellite imagery and remote sensing preferred (but not mandatory if strong ML background).Good understanding of embedded systems from the perspective of deploying AI.Edge AI Focus: Experience or keen interest in deploying models in constrained environments (e.g., embedded systems, on-board devices).Experience or understanding of FPGAs is desirable, not mandatory.Experience working with NVIDIA Jetson and Xilinx Versal will be a big plus. Candidates with such experience will be preferred.Soft Skills: Ability to work independently in a remote-first setup. Excellent communication skills to bridge technical and product conversations across geographies. Curiosity, creativity, and a problem-solving mindset.EQUAL OPPORTUNITY EMPLOYMENT INFORMATIONIndividuals seeking employment at Little Place Labs are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation.
Data scientist
Posted today
Job Viewed
Job Description
7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI/ML or Generative AI-related initiatives. 5+ Yrs experience in Data Science (Python)Proven experience in the Asset and Wealth Management industry (e.g., portfolio management, compliance, AML, KYC, client onboarding, investment advisory).Familiarity with AI tools, frameworks, and platforms (e.g., Open AI GPT, Azure Open AI, Hugging Face, Lang Chain, etc.).Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases.Ability to write detailed BRDs, PRDs, and user stories with technical depth.Experience working in Agile/Scrum environments.Proficiency in SQL, Excel, and at least one data visualization or analysis tool (e.g., Power BI, Tableau, Jupyter Notebooks).Excellent communication skills with both technical and non-technical stakeholders.