986 Junior Data Scientist jobs in New Delhi

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Position: Data Scientist

Location: Noida

Work Mode: Onsite Setup

As an Applied/ Data scientist, you will contribute to the design, development, and improvement of AI/ML models and systems. You will be expected to:

- Work with applied scientists, data scientist, software engineers and product partners to design and deliver AI/ML solutions in production at scale.

- Design and develop AI/ML models, workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and design of our ML models and systems.

- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to provide the best experience for our customers.

Position:

Senior Data Scientist

Job Description

Key Responsibilities:

• Design, develop, and deploy speech-to-text and text-to-speech models for various applications.
• Work with large language models (LLMs) and implement them in real-world projects.
• Analyze and interpret contact center calling data to generate meaningful business insights.
• Apply advanced statistical and machine learning techniques to solve complex business problems.
• Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
• Develop and maintain scalable data pipelines and workflows.
• Ensure data quality and integrity by implementing best practices in data management.
• Communicate findings and recommendations to stakeholders through detailed reports and presentations.
• Mentor and provide guidance to junior data scientists and data analysts.

Required Skills and Qualifications:

• Extensive experience with speech-to-text and text-to-speech technologies.
• Proficiency in working with large language models (LLMs) and deploying them in production environments.
• Strong analytical skills with the ability to derive business insights from large datasets, particularly contact center calling data.
• Expertise in statistical analysis, machine learning, and data mining techniques.
• Proficiency in programming languages such as Python and SQL.
• Experience with data visualization tools (e.g., Tableau, Power BI) to present insights effectively.
• Strong understanding of data engineering concepts and experience with data pipeline tools (e.g., Apache Kafka, Apache Spark).
• Excellent communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.

Educational Background:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field. A Master’s or Ph.D. degree is a plus.

Preferred Qualifications:

• Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) for deploying data science models.
• Familiarity with natural language processing (NLP) techniques and tools.

Shift Timings: UK Shift

Location: Noida office (Hybrid)

In this role, we are seeking a data engineer to design, implement, and optimize cloud-based data

pipelines using Microsoft Azure services including ADF, Synapse, and ADLS.

Responsibilities

● Collaborate with our business analytics and data science teams, gathering requirements and

delivering complete business intelligence solutions

● Mentor junior software developers and build a strong team

● Model data and metadata to support discovery, ad-hoc, and pre-built reporting

● Design and implement data pipelines using Hadoop, Spark, and Azure services such as Blob

Storage, SQL Database, Event Hubs, Data Factory, Synapse Analytics, and Databricks

● Should be able to write Programs & Scripting, Strong in SQL, Proficiency in Python or Scala.

Experience with PowerShell or Azure CLI for automation is a plus

● Partner with security, privacy, and legal teams to deliver solutions that comply with security and

privacy policies

● Own the design, development, and maintenance of datasets our business analytics teams will

use to drive key business decisions

● Develop and promote standard methodologies in data engineering, including scalability,

reusability, maintainability, and usability

● Tune and ensure compute performance by optimizing queries, databases, files, tables, and

processes

● Ensure data and report service level agreements are met

● Analyze and solve problems at their root, stepping back to understand the broader context

● Own continuous engineering operational excellence of the datasets that drive key business

decisions

● Learn and understand a broad range of data resources and know when, how, and which to use

and which not to use

● Keep up to date with advances in big data technologies and run pilots to design the data

architecture to scale with increased data volume using Azure

● Continually improve ongoing reporting and analysis processes, automating or simplifying

self-service support for datasets

● Triage many possible courses of action in a high-ambiguity environment, making use of both

quantitative analysis and business judgment

Qualifications we seek in you!

Minimum Qualifications / Skills

● Bachelor’s degree in computer science or related technical field

● 10+ years of experience in data architecture and business intelligence

● 5+ years of experience in developing solutions in distributed technologies such as Hadoop, Spark

● Experience in delivering end-to-end solutions using Azure services – Blob Storage, SQL Database,

Event Hubs, Data Factory, Synapse Analytics, and HDInsight

● Experience in programming using Python, Java, or Scala

● Expert in data modeling, metadata management, and data quality

● SQL performance tuning

● Strong interpersonal and multitasking skills with the ability to balance competing priorities

● Excellent communication (verbal and written) and interpersonal skills and an ability to effectively

communicate with both business and technical teams

● An ability to work in a fast-paced ambiguous environment where continuous innovation is

occurring

● Experience with a business intelligence reporting tool

Preferred Qualifications/ Skills

● Experience with Databricks for advanced analytics and data processing

● Understanding of well-architected data pipeline designs

● Expertise in monitoring and fault-tolerant pipeline designs

● Knowledge of cluster configuration for optimal performance

● Ability to create cost-optimal solutions

● Experience in exploratory data analysis (dashboarding, plotting) using machine learning

technologies and algorithms is desirable

● Good knowledge of standard machine learning techniques (like regression, classification,

anomaly detection, forecasting) by using standard machine learning libraries part of Spark,

Python is desirable

● Prior experience in gen AI and related tools and techniques (such as large language models,

prompt engineering) is desirable

● Having a relevant Azure certification (architecture/data/machine learning) is desirable

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 title – Applied Scientist / Data Scientist

Who are we?

We are an Artificial Intelligence company bringing the speed and insight of Applied AI to

visual assessment. Trained on millions of data points, our AI-powered solutions connect

everyone involved in insurance, repairs, and sales of homes and cars – helping people work

faster and smarter, while reducing friction and waste.

Founded in 2014, We are now the AI tool of choice for world-leading insurance and

automotive companies. Our solutions unlock the potential of Applied AI to transform the

whole recovery ecosystem, from assessing damage and accelerating claims and repairs to

recycling parts. They help make response to recovery up to ten times faster – even after

full-scale disasters like floods and hurricanes.

it has a world-class culture, backed up by our team, making us a global employer of

choice!

We're a diverse team, uniting individuals of over 40 different nationalities and from varied

backgrounds, with machine learning researchers and motor engineers collaborating together

on a daily basis. We empower each team member to have tangible impact and grow their

own scope by intentionally building a culture centred around collaboration, transparency,

autonomy and continuous learning.

Our team shapes the technical foundations used across all products, currently

focused on auto insurance and natural disaster recovery. Our mission is to leverage the

latest ML research to solve hard science problems necessary to transform the insurance

industry (& more). We focus on creating mission-critical AI systems solving some of the

trickiest problems in computer vision, and our innovation has already improved the lives of

100,000s of people so far (really). We’re a fun and ambitious team, and looking for someone

to join us on our exciting journey!

Auto organization – Who we are & What we do

Our organization is responsible for building products for the automotive industry. We have

already built 2 products (Estimating, Review) sold globally to insurers.

Our long-term vision is to build a platform ecosystem that we can leverage to effortlessly

build new products and use cases. Our current mission is to create a reliable and safe

“virtual” motor appraiser/expert as a service, we can leverage to solve many use cases

across the automotive industry. We are doing so, by building high-quality input capture

mechanisms for our users, creating a state-of-the-art damage assessment stack for auto

damage, or delivering explainable and human-centric decision-making engines.

We are working hand-in-hand with engineering teams to turn our R&D prototypes into

mission-critical systems.

What will you be doing?

As an Applied scientist, you will contribute to the design, development, and improvement of

AI/ML models and systems. You will be expected to:

- Work with applied scientists, data scientist, software engineers and product partners to

design and deliver AI/ML solutions in production at scale.

- Design and develop AI/ML models, workflows and end-to-end pipelines for data

preparation, training, deployment, monitoring, etc., and ensure the quality of architecture and

design of our ML models and systems.

- Deliver customer-facing and/or underlying AI/ML solutions that empower our platform to

provide the best experience for our customers.

What we’re looking for.

BASIC QUALIFICATIONS

- Master's in Computer Science, Machine Learning, or related quantitative field. A PhD in

Computer Science or related fields with a focus on Machine Learning is a strong plus.

- Extensive knowledge and practical experience in several of the following areas: machine

vision (classical methods and deep learning) and information retrieval. Natural language

processing is a plus.

- Demonstrated experience in building scalable AI/ML models and systems and delivering

end-to-end solutions in a production environment.

- Experience programming in Python, C++, or related languages

PREFERRED QUALIFICATIONS

- Publications at top-tier peer-reviewed conferences or journals or a proven track record of

industry innovation in creating novel solutions and advancing the state of the art.

- Experience with machine learning libraries and deep learning frameworks (TensorFlow,

PyTorch, etc.)

- Experience with end-to-end software development and life cycle of machine learning

solutions.

- Excellent verbal and written communication skills, with the ability to communicate complex

technical concepts and solutions to all levels of the organization

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.

Jubilant Bhartia Group
Jubilant Bhartia Group is a global conglomerate founded by Mr. Shyam S Bhartia and Mr. Hari S Bhartia with strong presence in diverse sectors like Pharmaceuticals, Contract Research and Development Services, Proprietary Novel Drugs, Life Science Ingredients, Agri Products, Performance Polymers, Food Service (QSR), Food, Auto, Consulting in Aerospace and Oilfield Services. Jubilant Bhartia Group has four flagships Companies- Jubilant Pharmova Limited, Jubilant Ingrevia Limited, Jubilant FoodWorks Limited and Jubilant Industries Limited. Currently the group has a global workforce of around 43,000 employees.

Jubilant Pharmova Limited
Jubilant Pharmova Limited (formerly Jubilant Life Sciences Limited) is a company with global presence that is involved in Radiopharma, Allergy Immunotherapy, CDMO Sterile Injectables, Contract Research Development and Manufacturing Organisation (CRDMO), Generics and Proprietary Novel Drugs businesses.

In the Radiopharma business, the Company is involved in manufacturing and supply of Radiopharmaceuticals with a network of 46 radio-pharmacies in the US. The Company's Allergy Immunotherapy business is involved in the manufacturing and supply of allergic extracts and venom products in the US and in some other markets such as Canada, Europe and Australia. Jubilant through its CDMO Sterile Injectables business offers manufacturing services including sterile fill and finish injectables (both liquid and lyophilization), full-service ophthalmic offer (liquids, ointments & creams) and ampoules.

The CRDMO business of the Company includes the Drug Discovery Services business that provides contract research and development services through two world-class research centres in Bangalore and Noida in India and the CDMO-API business that is involved in the manufacturing of Active Pharmaceutical Ingredients. Jubilant Therapeutics is involved in Proprietary Novel Drugs business and is an innovative biopharmaceutical company developing breakthrough therapies in the area of oncology and autoimmune disorders. The company operates six manufacturing facilities that cater to all the regulated market including USA, Europe and other geographies.

The Position
Organization-
Jubilant Pharmova Limited

Designation -
Data Scientist

Location-
Noida

Job Summary:
The role plays a Plays a crucial role in helping businesses make informed decisions by leveraging data & Advanced AI Solutions & will collaborate with stakeholders, design data models, create algorithms, and share

meaningful insights to drive business success

Key Responsibilities- Data & Analytics

• Work with supply chain, manufacturing manager, warehouse managers, customer account managers and quality function to produce manufacturing schedules, solutions to improve existing processes
• Gathering and interpreting data from various sources.
• Cleaning and verifying the accuracy of data sets to ensure data integrity.
• Build and maintain data pipelines for collecting, preprocessing, and integrating diverse data sources for comprehensive analysis and actionable insights.
• Developing and implementing data collection systems and strategies to optimize efficiency and accuracy.
• Applying statistical techniques to analyse and interpret complex data sets.
• Develop and implement statistical models for predictive analysis.
• Build and deploy machine learning models to solve business problems.
• Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively.
• Develop dashboards and reports for ongoing monitoring and analysis.
• Create, modify and improve complex manufacturing schedule.
• Create scenario planning model for manufacturing.
• Develop manufacturing schedule adherence probability model.
• Regularly monitoring and evaluating data quality, making recommendations for improvements as necessary.
• Staying up-to-date with industry trends and best practices in data analysis and reporting.
• Ensuring compliance with data privacy and security regulations.

Key Responsibilities- AI
End-to-End AI Solution Development

• Data Engineering: Independently develop data pipelines, perform data extraction, transformation,

and loading (ETL) for AI model consumption.

• Model Integration : Integrate foundational models and retrieval-augmented generation (RAG)

techniques

• Backend Development: Implement backend services and API endpoints to support AI solutions.
• Frontend Integration : Develop or adapt frontend interfaces for user interaction.

Innovation & Self-Development

• Continuous Learning: Stay current on foundational AI models, RAG techniques
• Ownership & Autonomy : Take full ownership of assigned use cases, handling all aspects of

development, testing, and deployment with minimal supervision

Person Profile.
Qualification-
B. Tech- CSE,ECE.

Experience
-
3-5 years of relevant experience in preferably Pharma/Chemical/Manufacturing Industry.

Technical Skills - Preferred

• P rogramming : Proficiency in Python for data handling and AI-related scripting.
• Data Engineering: Familiarity with data pipeline development, ETL processes, and data preprocessing techniques.
• Testing and QA : Knowledge of testing frameworks and tools to ensure model robustness, as well as

experience with automated testing for QA processes.

Other Skills- Preferred

• Experience with RAG : Familiarity with Retrieval-Augmented Generation techniques and their

applications.

• Prompt Engineering : Knowledge of prompt engineering techniques to optimize generative AI

models for specific tasks and enhance output relevance.

• Predictive Modelling : Experience in predictive modeling areas, such as traditional supervised and unsupervised learning,
• Advanced AI Concepts : Basic familiarity with foundational generative AI models and Natural Language Processing (NLP).
• Experience with big data technologies (e.g., Hadoop, Spark).
• Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).
• Strong analytical and problem-solving skills with the ability to handle complex data sets.
• Excellent attention to detail and a high level of accuracy in data analysis.
• Solid knowledge of data visualization techniques and experience using visualization tools like Tableau or Power BI.
• Strong communication skills to present findings and insights to non-technical stakeholders effectively
• Ability to work collaboratively in a team environment and adapt to changing priorities.

Jubilant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, colour, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, race, ethnicity, religion or any other characteristic protected by applicable local laws, regulations and ordinances.