539 Data Scientist jobs in Noida

Company Description

VOSMOS is a part of Kestone Integrated Marketing Services and promoted by CL Educate, the parent company of Career Launcher. We aim to build virtual worlds that are simplified, connected, and immersive. These worlds will be self-sufficient, unified, and constantly evolving to suit the mindset of the occupants of the Virtual Cosmos. VOSMOS has 3 distinct products under the brand – Metaverse, Virtual Events, and Customized technology solutions. From education to business to art, VOSMOS is making it easy for everyone to remain connected in the virtual world.

Role Description

As a Senior Data Scientist – AI & Gen AI, you will be a hands-on builder responsible for designing, developing, and deploying intelligent solutions across the marketing and customer experience stack. From writing production-ready ML code and training models to prompt engineering and fine-tuning LLMs, this role is for someone who enjoys working end-to-end — not just leading, but doing. You’ll work closely with our product, marketing, and engineering teams to embed intelligence across everything we do — from personalization engines to Gen AI content workflows. 

What You’ll Do

 - Build, train, and deploy machine learning and deep learning models for use cases like personalization, recommendation, segmentation, and content generation

- Fine-tune pre-trained LLMs (e.g., GPT, LLaMA, Claude) and build RAG-based systems

Design intelligent workflows using LangChain, vector databases, and prompt engineering

Write clean, scalable code in Python using ML/AI libraries like PyTorch, scikit-learn, Hugging Face, etc.

Work with APIs from OpenAI, Anthropic, Cohere, or open-source equivalents

Build prototypes quickly and iterate based on results and feedback

Work with structured and unstructured data (text, behavioral, campaign, content, customer data) Clean, preprocess, and build data pipelines that are ML-ready

Implement feedback loops and performance tracking mechanisms

Translate marketing and business requirements into actionable ML use cases

Work with product and design teams to bring AI-first features to life

Stay updated with the latest advancements in Gen AI, LLMs, and model optimization

What We’re Looking For

 0+ years in technology, with at least 5+ years in data science / AI roles

Degree in Computer Science, Data Science, or related field (preferably from a premier tech institution – IITs, IISc, BITS, etc.)

 eep hands-on experience in:

- Machine Learning (classification, regression, clustering, etc.)

- Deep Learning (CNNs, RNNs, Transformers)

- Gen AI (LLMs, prompt engineering, LangChain, RAG pipelines)

- Python, PyTorch/TensorFlow, scikit-learn, Hugging Face

- API integration, OpenAI, Anthropic, or similar platforms

- Cloud platforms (AWS/GCP/Azure) and basic DevOps for deployment

Strong problem-solving and debugging skills

Comfortable working in an agile, evolving startup-like environment

Nice to Have

Experience with marketing data, campaign optimization, content analytics

Exposure to MLOps, vector databases (e.g., Pinecone, FAISS), or streaming data

Understanding of personalization algorithms, recommender systems, or chat-based AI agents

What You Get

An opportunity to build AI solutions from scratch and own the outcomes

Work on real-world problems with real business impact

A collaborative team of technologists, marketers, and creatives

Freedom to experiment with the latest tools and models

Competitive compensation with performance-linked incentives

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.

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

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.

Visit us:

Linkedin:

Company Description

VOSMOS is a part of Kestone Integrated Marketing Services and promoted by CL Educate, the parent company of Career Launcher. We aim to build virtual worlds that are simplified, connected, and immersive. These worlds will be self-sufficient, unified, and constantly evolving to suit the mindset of the occupants of the Virtual Cosmos. VOSMOS has 3 distinct products under the brand – Metaverse, Virtual Events, and Customized technology solutions. From education to business to art, VOSMOS is making it easy for everyone to remain connected in the virtual world.

Role Description

As a Senior Data Scientist – AI & Gen AI, you will be a hands-on builder responsible for designing, developing, and deploying intelligent solutions across the marketing and customer experience stack. From writing production-ready ML code and training models to prompt engineering and fine-tuning LLMs, this role is for someone who enjoys working end-to-end — not just leading, but doing. You’ll work closely with our product, marketing, and engineering teams to embed intelligence across everything we do — from personalization engines to Gen AI content workflows.

What You’ll Do

 - Build, train, and deploy machine learning and deep learning models for use cases like personalization, recommendation, segmentation, and content generation

- Fine-tune pre-trained LLMs (e.g., GPT, LLaMA, Claude) and build RAG-based systems

Design intelligent workflows using LangChain, vector databases, and prompt engineering

Write clean, scalable code in Python using ML/AI libraries like PyTorch, scikit-learn, Hugging Face, etc.

Work with APIs from OpenAI, Anthropic, Cohere, or open-source equivalents

Build prototypes quickly and iterate based on results and feedback

Work with structured and unstructured data (text, behavioral, campaign, content, customer data) Clean, preprocess, and build data pipelines that are ML-ready

Implement feedback loops and performance tracking mechanisms

Translate marketing and business requirements into actionable ML use cases

Work with product and design teams to bring AI-first features to life

Stay updated with the latest advancements in Gen AI, LLMs, and model optimization

What We’re Looking For

 0+ years in technology, with at least 5+ years in data science / AI roles

Degree in Computer Science, Data Science, or related field (preferably from a premier tech institution – IITs, IISc, BITS, etc.)

 eep hands-on experience in:

- Machine Learning (classification, regression, clustering, etc.)

- Deep Learning (CNNs, RNNs, Transformers)

- Gen AI (LLMs, prompt engineering, LangChain, RAG pipelines)

- Python, PyTorch/TensorFlow, scikit-learn, Hugging Face

- API integration, OpenAI, Anthropic, or similar platforms

- Cloud platforms (AWS/GCP/Azure) and basic DevOps for deployment

Strong problem-solving and debugging skills

Comfortable working in an agile, evolving startup-like environment

Nice to Have

Experience with marketing data, campaign optimization, content analytics

Exposure to MLOps, vector databases (e.g., Pinecone, FAISS), or streaming data

Understanding of personalization algorithms, recommender systems, or chat-based AI agents

What You Get

An opportunity to build AI solutions from scratch and own the outcomes

Work on real-world problems with real business impact

A collaborative team of technologists, marketers, and creatives

Freedom to experiment with the latest tools and models

Competitive compensation with performance-linked incentives

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

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.

Visit us:

Linkedin:

We are looking for a Data Scientist who is passionate about deriving business value from data. In this role, you will work closely with our Digital, Marketing, Analytics, Operations teams to analyze investor and partner data, build predictive models, The ideal candidate should have experience in machine learning, statistical modeling, and data visualization, with a strong understanding of financial services, customer behavior analytics, and risk modelling. ResponsibilitiesAnalyze investor behaviour and distribution partner data to uncover trends and opportunities. Develop models for investor segmentation, churn prediction, and customer lifetime value estimation.Measure campaign effectiveness, optimize targeting strategies, and enhance personalization. Support the team with automation, early warning signals, and fraud detection models.Implement text mining and sentiment analysis on investor feedback, social media, and complaint data. Design dashboards and reports in collaboration with the MIS team to provide actionable insights.Ensure data accuracy, security, and compliance with regulatory requirements.Experience 6-8 yearsExcellent in Advance Excel.Programming knowledge of Python, R, SAS (Enterprise Guide, E-Miner, VIYA)Databases: SQL Server, Mongo DBVisualization: R-Shiny, Power BI, ExcelMachine Learning & Statistical Techniques. Regression ( Linear, Logistic)Good to have ensemble methods: Random Forest, Gradient Boosting, NLP & Text Mining-Sentiment Analysis, Fuzzy, String Matching etcKnowledge 6+ years of experience in data science, analytics, or risk modeling in the financial services sector (mutual funds,banking, lending).Experience building Investor behavior models, early warning systems, and propensity model.Strong understanding of investor behavior, digital customer journeys, and financial product analyticsHands-on experience in automating data pipelines, web scraping, and predictive analytics.Ability to translate complex data insights into clear business strategies