407 Data Science jobs in New Delhi
Senior Data Science
Noida, Uttar Pradesh
Microsoft Corporation
Posted today
Job Viewed
Job Description
Microsoft's Cloud business is expanding, and the Cloud Supply Chain (CSCP) organization is responsible for enabling the hardware infrastructure underlying this growth including AI! CSCP's vision is to empower customers to achieve more by delivering Cloud and AI capabilities at scale. Our mission is to deliver the world's computer with an industry-leading supply chain. The CSCP organization is responsible for traditional supply chain functions such as plan, source, make, deliver, but also manages supportability (spares), sustainability, and decommissioning of datacenter assets worldwide. We deliver the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365, Xbox Live, OneDrive and the Microsoft Azure platform for external customers. Our infrastructure is supported by more than 300 datacenters around the world that enable services for more than 1 billion customers in over 90 countries.
Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business.
**Responsibilities**
+ Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques.
+ Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development.
+ Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection.
+ Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation.
+ Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning.
+ Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance.
+ Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders.
+ Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment (CPFR), budget, engineering changes) and assesses plans to mitigate potential risks and issues.
+ Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models.
+ Oversees development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget).
+ Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem.
+ Consistently leverages knowledge of techniques to optimize analysis using algorithms.
+ Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous.
+ Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigor by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist.
+ Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence.
+ Connects across functional teams and the broader organization outside of Demand Planning to advocate for continuous improvement and maintain best practices.
Leads broad governance and rhythm of the business processes that ensure cross-group collaboration, discussion of key issues, and an opportunity to build proposed solutions to address current or future business needs.
**Qualifications**
**Required:**
+ M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field
+ 4-8 years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment.
+ Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel).
+ Prior experience in time series forecasting.
+ Prior experience with typical data management systems and tools such as SQL.
+ Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar.
+ Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models.
+ Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity and no obvious solutions.
+ Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences.
**Preferred:**
+ PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field.
+ Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency.
+ Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice.
+ Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
+ Knowledge of supply chain models, operations research techniques, optimization modelling and solvers.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
Microsoft Cloud Planning (MCP) is the central planning function within CSCP focused on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware, directly impacting the success of Microsoft's cloud business.
**Responsibilities**
+ Researching and developing production-grade models (forecasting, anomaly detection, optimization, clustering, etc.) for our global cloud business by using statistical and machine learning techniques.
+ Manage large volumes of data, and create new and improved solutions for data collection, management, analyses, and data science model development.
+ Drive the onboarding of new data and the refinement of existing data sources through feature engineering and feature selection.
+ Apply statistical concepts and cutting-edge machine learning techniques to analyze cloud demand and optimize our data science model code for distributed computing platforms and task automation.
+ Work closely with other data scientists and data engineers to deploy models that drive cloud infrastructure capacity planning.
+ Present analytical findings and business insights to project managers, stakeholders, and senior leadership and keep abreast of new statistical / machine learning techniques and implement them as appropriate to improve predictive performance.
+ Oversees and directs the plan or forecast across the company for demand planning. Evangelizes the demand plan with other leaders.
+ Drives clarity and understanding of what is required to achieve the plan (e.g., promotions, sales resources, collaborative planning, forecasting, and replenishment (CPFR), budget, engineering changes) and assesses plans to mitigate potential risks and issues.
+ Oversees the analysis of data and leads the team in identifying trends, patterns, correlations, and insights to develop new forecasting models and improve existing models.
+ Oversees development of short and long term (e.g., weekly, monthly, quarterly) demand forecasts and develops and publishes key forecast accuracy metrics. Analyzes data to identify potential sources of forecasting error. Serves as an expert resource and leader of demand planning across the company and ensures that business drivers are incorporated into the plan (e.g., forecast, budget).
+ Leads collaboration among team and leverages data to identify pockets of opportunity to apply state-of-the-art algorithms to improve a solution to a business problem.
+ Consistently leverages knowledge of techniques to optimize analysis using algorithms.
+ Modifies statistical analysis tools for evaluating Machine Learning models. Solves deep and challenging problems for circumstances such as when model predictions are not correct, when models do not match the training data or the design outcomes when the data is not clean when it is unclear which analyses to run, and when the process is ambiguous.
+ Provides coaching to team members on business context, interpretation, and the implications of findings. Interprets findings and their implications for multiple businesses, and champions methodological rigor by calling attention to the limitations of knowledge wherever biases in data, methods, and analysis exist.
+ Generates and leverages insights that inform future studies and reframe the research agenda. Informs both current business decisions by implementing and adapting supply-chain strategies through complex business intelligence.
+ Connects across functional teams and the broader organization outside of Demand Planning to advocate for continuous improvement and maintain best practices.
Leads broad governance and rhythm of the business processes that ensure cross-group collaboration, discussion of key issues, and an opportunity to build proposed solutions to address current or future business needs.
**Qualifications**
**Required:**
+ M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field
+ 4-8 years of industry experience in developing production-grade statistical and machine learning code in a collaborative team environment.
+ Prior experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel).
+ Prior experience in time series forecasting.
+ Prior experience with typical data management systems and tools such as SQL.
+ Knowledge and ability to work within a large-scale computing or big data context, and hands-on experience with Hadoop, Spark, DataBricks or similar.
+ Excellent analytical skills; ability to understand business needs and translate them into technical solutions, including analysis specifications and models.
+ Creative thinking skills with emphasis on developing innovative methods to solve hard problems under ambiguity and no obvious solutions.
+ Good interpersonal and communication (verbal and written) skills, including the ability to write concise and accurate technical documentation and communicate technical ideas to non-technical audiences.
**Preferred:**
+ PhD in Statistics, Applied Mathematics, Applied Economics, Computer Science or Engineering, Data Science, Operations Research or similar applied quantitative field.
+ Experience in machine learning using R or Python (scikit / numpy / pandas / statsmodel) with skill level at or near fluency.
+ Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid knowledge of theory and practice.
+ Practical and professional experience contributing to and maintaining a large code base with code versioning systems such as Git.
+ Knowledge of supply chain models, operations research techniques, optimization modelling and solvers.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
0
Manager Data Science
Noida, Uttar Pradesh
UnitedHealth Group
Posted 2 days ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers.
**Primary Responsibilities:**
+ Develop and run pipelines for data ingress and model output egress
+ Develop and run scripts for ML model inference
+ Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
+ Identify technical problems and develop software updates and fixes
+ Develop scripts or tools to automate repetitive tasks
+ Automate the provisioning and configuration of infrastructure resources
+ Provide guidance on the best use of specific tools or technologies to achieve desired results
+ Create documentation for infrastructure design and deployment procedures
+ Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
+ Lead and manage AI/ML teams and projects from ideation to delivery and evaluation
+ Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models
+ Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree or higher in computer science engineering with a focus on language processing
+ 6+ years of experience in AI/ML roles
+ Experience with Azure development environments
+ Experience with using and deploying LLMs
+ Experience in developing solutions in the NLP space and relevant projects
+ Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP
+ Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing
+ Proficiency in libraries such as Hugging Face and OpenAI API
+ Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
+ Familiarity with both open-source and OpenAI LLMs and RAG architecture
+ Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers
+ Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering
+ Knowledge of NLP literature, thrust areas, conference venues, and code repositories
+ Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas
+ Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
+ DevOps Skills:
+ Experience building and maintaining CI/CD pipelines
+ Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc)
+ Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc)
+ Security and vulnerability management
+ Familiarity with traditional software monitoring, scaling, and quality management (QMS)
**Preferred Qualifications:**
+ Experience deploying and maintaining ML models in production
+ Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc)
+ MLOps skills
+ Familiarity with model versioning tools (MLFlow, etc)
+ Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
At Optum AI, we leverage data and resources to make a significant impact on the healthcare system. Our solutions have the potential to improve healthcare for everyone. We work on cutting-edge projects involving ML, NLP, and LLM techniques, continuously developing and improving generative AI methods for structured and unstructured healthcare data. Our team collaborates with world-class experts and top universities to develop innovative AI/ML solutions, often leading to patents and published papers.
**Primary Responsibilities:**
+ Develop and run pipelines for data ingress and model output egress
+ Develop and run scripts for ML model inference
+ Design, implement, and maintain CI/CD pipelines for MLOps and DevOps functions
+ Identify technical problems and develop software updates and fixes
+ Develop scripts or tools to automate repetitive tasks
+ Automate the provisioning and configuration of infrastructure resources
+ Provide guidance on the best use of specific tools or technologies to achieve desired results
+ Create documentation for infrastructure design and deployment procedures
+ Utilize AI/ML frameworks and tools such as MLFlow, TensorFlow, PyTorch, Keras, Scikit-learn, etc.
+ Lead and manage AI/ML teams and projects from ideation to delivery and evaluation
+ Apply expertise in various AI/ML techniques, including deep learning, NLP, computer vision, recommender systems, reinforcement learning, and large language models
+ Communicate complex AI/ML concepts and results to technical and non-technical audiences effectively
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ Bachelor's degree or higher in computer science engineering with a focus on language processing
+ 6+ years of experience in AI/ML roles
+ Experience with Azure development environments
+ Experience with using and deploying LLMs
+ Experience in developing solutions in the NLP space and relevant projects
+ Proficiency in multiple machine learning and AI techniques such as supervised, unsupervised, reinforcement learning, deep learning, and NLP
+ Proficient in Python and one of PySpark or Scala Familiarity with python tools for data processing
+ Proficiency in libraries such as Hugging Face and OpenAI API
+ Proficiency in Python, R, or other programming languages for data analysis and AI/ML development
+ Familiarity with both open-source and OpenAI LLMs and RAG architecture
+ Familiarity with UI tools like Streamlit, Flask, FAST APIs, Rest APIs, Docker containers
+ Understanding of common NLP tasks such as text classification, entity recognition, entity extraction, and question answering
+ Knowledge of NLP literature, thrust areas, conference venues, and code repositories
+ Hands-on skills with repository management and GPU use, and the ability to rapidly set up NLP pipelines for testing new ideas
+ Proven excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes, and recommend solutions
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
+ DevOps Skills:
+ Experience building and maintaining CI/CD pipelines
+ Experience with DevOps tools (GitHub, GitHub Actions, Azure devops, Kubernetes, etc)
+ Experience with data-oriented workflow orchestration frameworks (Airflow, kafka, etc)
+ Security and vulnerability management
+ Familiarity with traditional software monitoring, scaling, and quality management (QMS)
**Preferred Qualifications:**
+ Experience deploying and maintaining ML models in production
+ Experience with model observability tools for insights into the behavior, performance, and health of deployed ML models (tracking, alerting, compliance monitoring, etc)
+ MLOps skills
+ Familiarity with model versioning tools (MLFlow, etc)
+ Familiarity with data versioning tools (Delta Lake, DVC, LakeFS, etc)
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
This advertiser has chosen not to accept applicants from your region.
1
Data Science Trainer
Noida, Uttar Pradesh
360DigiTMG Noida
Posted 5 days ago
Job Viewed
Job Description
Company Description
360DigiTMG is one of the world's pioneering training institutes, renowned for empowering India’s leading professionals with industry-relevant skills. Our cutting-edge certification programs are meticulously designed to align with the latest market trends, ensuring that our learners are equipped with the knowledge and expertise to excel in today’s dynamic business environment. With a strong focus on data science, AI, and emerging technologies, we are committed to shaping the future of education and helping individuals achieve their career goals. After successfully operating centres across 8 cities in India along with international centres in US and Malaysia, 360DigiTMG is now establishing its latest centre in Noida in partnership with Three NV Pro Solutions.
Role Description
This is an on-site, full-time/part-time role located in Noida Sector-18 for a Data Science Trainer. The Data Science Trainer will be responsible for delivering training sessions, creating lesson plans, and developing course materials. The trainer will also conduct assessments, provide feedback, and guide students through live projects and case studies.
Qualifications
- 1-3 years experience in Data Science Training or mentoring.
- Knowledge of Python, EDA, SQL and other related tools.
- Excellent communication and presentation skills
- Ability to engage and motivate students
This advertiser has chosen not to accept applicants from your region.
2
Data Science Analyst
Delhi, Delhi
Aigentity
Posted 5 days ago
Job Viewed
Job Description
Are you passionate about transforming data into actionable insights? Do you thrive in a fast-paced, innovative environment? We’re looking for a Data Science Analyst to join our team and help us drive data-informed decisions that shape the future of our business.
What You’ll Do
Analyze complex datasets to uncover trends, patterns, and actionable insights.
Develop predictive models and statistical analyses to support business strategies.
Collaborate with cross-functional teams to understand data needs and deliver solutions.
Build dashboards and visualizations to communicate findings effectively to stakeholders.
Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Strong programming skills in Python, R, or SQL.
Experience with data visualization tools (Tableau, Power BI, etc.).
Solid understanding of machine learning algorithms and statistical methods.
Excellent problem-solving and communication skills.
A curious mindset with a passion for exploring data.
Why Join Us?
Opportunity to work on exciting, high-impact projects.
Collaborative and supportive work environment.
Resources for professional development and growth.
A chance to shape the future of data-driven decision-making.
What You’ll Do
Analyze complex datasets to uncover trends, patterns, and actionable insights.
Develop predictive models and statistical analyses to support business strategies.
Collaborate with cross-functional teams to understand data needs and deliver solutions.
Build dashboards and visualizations to communicate findings effectively to stakeholders.
Stay ahead of data trends and implement best practices in analytics and machine learning.
What We’re Looking For
Bachelor's or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
Strong programming skills in Python, R, or SQL.
Experience with data visualization tools (Tableau, Power BI, etc.).
Solid understanding of machine learning algorithms and statistical methods.
Excellent problem-solving and communication skills.
A curious mindset with a passion for exploring data.
Why Join Us?
Opportunity to work on exciting, high-impact projects.
Collaborative and supportive work environment.
Resources for professional development and growth.
A chance to shape the future of data-driven decision-making.
This advertiser has chosen not to accept applicants from your region.
3
Data Science Manager
Gurgaon, Haryana
KPMG India
Posted 5 days ago
Job Viewed
Job Description
About the Company
KPMG in India is a leading professional services firm established in August 1993. The firm offers a wide range of services, including audit, tax, and advisory, to national and international clients across various sectors. KPMG operates from offices in 14 cities, including Mumbai, Bengaluru, Chennai, and Delhi. KPMG India is known for its rapid, performance-based, industry-focused, and technology-enabled services. The firm leverages its global network to provide informed and timely business advice, helping clients mitigate risks and seize opportunities. KPMG India is committed to quality and excellence, fostering a culture of growth, innovation, and collaboration.
About the Role
Data Science Manager/ Senior Manager
Job Location: Gurgaon
Experience: 9 -16 years
Responsibilities
9.5 years of expereince in DS projects.
Lead AI/ML initiatives from concept to production, ensuring business alignment and impact.
Drive GenAI strategy using frameworks like RAG, LangChain, Llama Index, and Vision APIs.
Architect scalable solutions balancing speed, accuracy, and robustness.
Mentor teams, guide technical reviews, and promote best practices across geographies.
Collaborate with stakeholders to translate business needs into data-driven solutions.
Ensure responsible AI practices, performance, and reliability in deployed models.
9+ years in data science/software engineering
Proficient in Python, SQL, Docker, and cloud platforms (Azure/AWS/GCP).
Hands-on with ML algorithms, feature engineering, and model deployment.
Experience with open-source GenAI tools, vector databases, and prompt engineering.
Strong communication, leadership, and agile project management skills.
Equal Opportunity Statement
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
KPMG in India is a leading professional services firm established in August 1993. The firm offers a wide range of services, including audit, tax, and advisory, to national and international clients across various sectors. KPMG operates from offices in 14 cities, including Mumbai, Bengaluru, Chennai, and Delhi. KPMG India is known for its rapid, performance-based, industry-focused, and technology-enabled services. The firm leverages its global network to provide informed and timely business advice, helping clients mitigate risks and seize opportunities. KPMG India is committed to quality and excellence, fostering a culture of growth, innovation, and collaboration.
About the Role
Data Science Manager/ Senior Manager
Job Location: Gurgaon
Experience: 9 -16 years
Responsibilities
9.5 years of expereince in DS projects.
Lead AI/ML initiatives from concept to production, ensuring business alignment and impact.
Drive GenAI strategy using frameworks like RAG, LangChain, Llama Index, and Vision APIs.
Architect scalable solutions balancing speed, accuracy, and robustness.
Mentor teams, guide technical reviews, and promote best practices across geographies.
Collaborate with stakeholders to translate business needs into data-driven solutions.
Ensure responsible AI practices, performance, and reliability in deployed models.
9+ years in data science/software engineering
Proficient in Python, SQL, Docker, and cloud platforms (Azure/AWS/GCP).
Hands-on with ML algorithms, feature engineering, and model deployment.
Experience with open-source GenAI tools, vector databases, and prompt engineering.
Strong communication, leadership, and agile project management skills.
Equal Opportunity Statement
KPMG India has a policy of providing equal opportunity for all applicants and employees regardless of their color, caste, religion, age, sex/gender, national origin, citizenship, sexual orientation, gender identity or expression, disability or other legally protected status. KPMG India values diversity and we request you to submit the details below to support us in our endeavor for diversity. Providing the below information is voluntary and refusal to submit such information will not be prejudicial to you.
This advertiser has chosen not to accept applicants from your region.
4
AI & Data Science
Gurgaon, Haryana
Jivi AI
Posted 5 days ago
Job Viewed
Job Description
About Jivi
Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi.
The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures.
Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community.
Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare.
Job Overview
In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare.
Key Responsibilities
AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models
Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems.
Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling.
Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing.
Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions.
Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset.
Technical Skills
Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus.
Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models.
Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches.
Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques.
Experience & Qualifications
Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Why Work with Jivi?
Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness.
Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales.
Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting.
Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations.
Jivi’s Products:
Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi:
iOS app
Android app
WhatsApp
Jivi in Media:
Economic Times - - - more -
Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi.
The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures.
Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked #1 globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi’s health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we’ve open-sourced these models on Hugging Face for the AI community.
Jivi has been recognized for its innovation with awards such as the NASSCOM’s Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare.
Job Overview
In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare.
Key Responsibilities
AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models
Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems.
Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling.
Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing.
Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions.
Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset.
Technical Skills
Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus.
Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models.
Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches.
Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques.
Experience & Qualifications
Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role
Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent work experience).
Why Work with Jivi?
Make a Global Impact : Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness.
Accelerate Your Career : Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales.
Lead in a High-Growth Environment : Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting.
Collaborate with the Best : Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations.
Jivi’s Products:
Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi:
iOS app
Android app
Jivi in Media:
Economic Times - - - more -
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5
Data Science Trainer
Noida, Uttar Pradesh
360DigiTMG Noida
Posted 5 days ago
Job Viewed
Job Description
Company Description
360DigiTMG is one of the world's pioneering training institutes, renowned for empowering India’s leading professionals with industry-relevant skills. Our cutting-edge certification programs are meticulously designed to align with the latest market trends, ensuring that our learners are equipped with the knowledge and expertise to excel in today’s dynamic business environment. With a strong focus on data science, AI, and emerging technologies, we are committed to shaping the future of education and helping individuals achieve their career goals. After successfully operating centres across 8 cities in India along with international centres in US and Malaysia, 360DigiTMG is now establishing its latest centre in Noida in partnership with Three NV Pro Solutions.
Role Description
This is an on-site, full-time/part-time role located in Noida Sector-18 for a Data Science Trainer. The Data Science Trainer will be responsible for delivering training sessions, creating lesson plans, and developing course materials. The trainer will also conduct assessments, provide feedback, and guide students through live projects and case studies.
Qualifications
1-3 years experience in Data Science Training or mentoring.
Knowledge of Python, EDA, SQL and other related tools.
Excellent communication and presentation skills
Ability to engage and motivate students
360DigiTMG is one of the world's pioneering training institutes, renowned for empowering India’s leading professionals with industry-relevant skills. Our cutting-edge certification programs are meticulously designed to align with the latest market trends, ensuring that our learners are equipped with the knowledge and expertise to excel in today’s dynamic business environment. With a strong focus on data science, AI, and emerging technologies, we are committed to shaping the future of education and helping individuals achieve their career goals. After successfully operating centres across 8 cities in India along with international centres in US and Malaysia, 360DigiTMG is now establishing its latest centre in Noida in partnership with Three NV Pro Solutions.
Role Description
This is an on-site, full-time/part-time role located in Noida Sector-18 for a Data Science Trainer. The Data Science Trainer will be responsible for delivering training sessions, creating lesson plans, and developing course materials. The trainer will also conduct assessments, provide feedback, and guide students through live projects and case studies.
Qualifications
1-3 years experience in Data Science Training or mentoring.
Knowledge of Python, EDA, SQL and other related tools.
Excellent communication and presentation skills
Ability to engage and motivate students
This advertiser has chosen not to accept applicants from your region.
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6
Instructor - Data Science
Gurgaon, Haryana
Internshala
Posted 7 days ago
Job Viewed
Job Description
What will you do?
Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
Train the TA's to take the doubt sessions and for project evaluations
Who are we looking for?
We are looking for someone who has:
A minimum of 2 years of industry work experience in data science or a related field. Teaching experience is a plus.
In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai , etc.
Passion for teaching and a desire to impart practical knowledge to students.
Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
Experience with curriculum development, lesson planning, and instructional design is a plus.
Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
Ability to work independently and as part of a team in a fast-paced, dynamic environment.
What do we offer in return?
Awesome colleagues & a great work environment - Internshala is known for its culture ( see for yourself ) and has twice been recognized as a Great Place To Work in the last 3 years
A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
Competitive remuneration
Internshala is a dot com business with the heart of dot org.
Internshala's mission is to equip every student with relevant skills and exposure so that they can build their dream careers. Our newly launched product line Placement Guarantee Courses (PGC) is an exciting next step in that direction. PGCs are in-depth, rigorous, online specialisations that prepare students for an internship/job in that domain. For this new product line, we are looking to set up the world's best content, program delivery and user engagement team - a team that combines a teacher's empathy with an entrepreneur's hustle. And this role is your opportunity to be part of that team.
Compensation - Competitive remuneration based on your experience and skills
Start date - Immediately
Create and conduct engaging and informative Data Science classes that incorporate real-world examples and hands-on activities to ensure student engagement and retention.
Evaluate student projects to ensure they meet industry standards and provide personalised, constructive feedback to students to help them improve their skills and understanding.
Conduct viva sessions to assess student understanding and comprehension of the course materials. You will evaluate each student's ability to apply the concepts they have learned in real-world scenarios and provide feedback on their performance.
Conduct regular assessments to evaluate student progress, provide feedback to students, and identify areas for improvement in the curriculum.
Stay up-to-date with industry developments, best practices, and trends in Data Science, and incorporate this knowledge into course materials and instruction.
Work with the placements team to provide guidance and support to students as they navigate their job search, including resume and cover letter reviews, mock interviews, and career coaching.
Train the TA's to take the doubt sessions and for project evaluations
Who are we looking for?
We are looking for someone who has:
A minimum of 2 years of industry work experience in data science or a related field. Teaching experience is a plus.
In-depth knowledge of various aspects of data science like Python, MYSQL, Power BI, Excel, Machine Learning with statistics, NLP, DL.
Knowledge of AI tools like ChatGPT (latest versions as well), debugcode.ai , etc.
Passion for teaching and a desire to impart practical knowledge to students.
Excellent communication and interpersonal skills, with the ability to engage and motivate students of all levels.
Experience with curriculum development, lesson planning, and instructional design is a plus.
Familiarity with learning management systems (LMS) and digital teaching tools will be an added advantage.
Ability to work independently and as part of a team in a fast-paced, dynamic environment.
What do we offer in return?
Awesome colleagues & a great work environment - Internshala is known for its culture ( see for yourself ) and has twice been recognized as a Great Place To Work in the last 3 years
A massive learning opportunity to be an early member of a new initiative and experience building it from scratch
Competitive remuneration
Internshala is a dot com business with the heart of dot org.
Internshala's mission is to equip every student with relevant skills and exposure so that they can build their dream careers. Our newly launched product line Placement Guarantee Courses (PGC) is an exciting next step in that direction. PGCs are in-depth, rigorous, online specialisations that prepare students for an internship/job in that domain. For this new product line, we are looking to set up the world's best content, program delivery and user engagement team - a team that combines a teacher's empathy with an entrepreneur's hustle. And this role is your opportunity to be part of that team.
Compensation - Competitive remuneration based on your experience and skills
Start date - Immediately
This advertiser has chosen not to accept applicants from your region.
7
Data Science Intern
Delhi, Delhi
Zetheta Algorithms Private Limited
Posted 9 days ago
Job Viewed
Job Description
About the Company
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
Conduct data cleaning, wrangling, and pre-processing for financial datasets.
Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
Use either one – Python, Excel or R to analyse, visualize, and model financial data.
Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
Strong problem-solving and analytical skills.
Able to self-learn and work independently in a remote, flexible environment.
Internship Details
Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
Timing: Self-paced.
Type: Unpaid
ZeTheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.
the Role
As a Data Scientist intern, you will work on cutting-edge projects involving financial data analysis, investment research, and risk modelling. You will have the opportunity to engage in multiple mini-projects or take up a focused innovation-based research project. The project experience is designed to provide practical exposure to data science in the context of asset management, trading, and financial technology. We provide problem statements, methodology and after you submit your solution to develop the solutions/ model, we also showcase to you sample solution. You can use our sample solution to modify your project submission and expand further based on suggestions given in our sample solution. You can opt for your own research based data science solution to develop/ model.
Responsibilities
Conduct data cleaning, wrangling, and pre-processing for financial datasets.
Assist investment teams in equity research, fixed income research, portfolio management, and economic analysis.
Apply statistical techniques to financial problems such as credit risk modelling, probability of default, and value-at-risk estimation.
Work with big data sources including financial reports, macroeconomic datasets, and alternative investment data.
Use either one – Python, Excel or R to analyse, visualize, and model financial data.
Participate in research projects related to quantitative trading, financial derivatives, and portfolio optimization.
Who Should Apply?
Any student even without coding skills can upskill (self learning) to develop Data Science Solutions. Some basic knowledge of Excel or Python or R script can help complete the projects quicker. We permit the use of all LLMs/ NLPs to help students to develop the solutions.
Strong problem-solving and analytical skills.
Able to self-learn and work independently in a remote, flexible environment.
Internship Details
Duration: Option of 1 month, 2 month, 3 month, 4 month or 6 months
Timing: Self-paced.
Type: Unpaid
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