Explore entry-level data science opportunities within India's expanding tech sector. This field presents roles perfect for those starting their careers in analytics and 16,338 Junior Data Scientist jobs in India
Data Scientist - Machine Learning
Posted 4 days ago
Job Viewed
Job Description
We are seeking a highly skilled Data Scientist with 8 to 10 years of experience to join our team. The ideal candidate will have expertise in Machine Learning Artificial Intelligence and Natural Language Processing. Experience in Medicare & Medicaid Claims Claims and Payer domains is essential. This is a hybrid work model with day shifts and no travel required.
**Responsibilities**
+ Develop and implement advanced machine learning models to analyze complex datasets.
+ Utilize artificial intelligence techniques to enhance data processing and predictive analytics.
+ Apply natural language processing to extract meaningful insights from unstructured data.
+ Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
+ Conduct thorough data analysis to identify trends patterns and anomalies in Medicare & Medicaid Claims data.
+ Design and execute experiments to test hypotheses and validate models.
+ Ensure data integrity and accuracy by performing rigorous data cleaning and preprocessing.
+ Create detailed documentation of methodologies processes and findings for future reference.
+ Provide actionable insights and recommendations to stakeholders based on data analysis.
+ Optimize existing models and algorithms to improve performance and scalability.
+ Stay updated with the latest advancements in machine learning artificial intelligence and natural language processing.
+ Mentor and guide junior data scientists in best practices and advanced techniques.
+ Communicate complex technical concepts to non-technical stakeholders effectively.
**Qualifications**
+ Possess a strong background in machine learning artificial intelligence and natural language processing.
+ Have extensive experience working with Medicare & Medicaid Claims Claims and Payer domains.
+ Demonstrate proficiency in programming languages such as Python or R.
+ Exhibit excellent problem-solving skills and the ability to work independently.
+ Show strong analytical skills with the ability to interpret complex data.
+ Have experience with data visualization tools like Tableau or Power BI.
+ Possess a solid understanding of statistical analysis and modeling techniques.
+ Be familiar with cloud platforms such as AWS Azure or Google Cloud.
+ Demonstrate excellent communication and collaboration skills.
+ Have a proven track record of delivering high-quality data science projects.
+ Show the ability to manage multiple projects and meet deadlines.
+ Exhibit a continuous learning mindset and stay updated with industry trends.
+ Hold a relevant certification in data science or machine learning.
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
Data Scientist- Machine Learning
Posted today
Job Viewed
Job Description
About Company
Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure& Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.
PFB the job description for the Data Scientist role for your better understanding along with company details as well.
Timings- 02:30 pm to 11:30 pm IST
Location- Noida (Sec-142)
Mode- Work from the Office (3 Days from the office and 2 Days from Home)
About the Role:
We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.
You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands-on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.
What We're Looking For
- 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
- 2+ years' experience developing and tuning LLM systems.
- Strong cross-functional communication with technical and non-technical partners.
- Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
- Strong software development foundations - dedication to high code quality, stable architecture
Key Responsibilities
- Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
- Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
- Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
- Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
- Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
- Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
- Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
- Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
- Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.
Data Scientist - Machine Learning
Posted 14 days ago
Job Viewed
Job Description
Key Responsibilities:
- Collect, clean, and preprocess large and complex datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and insights.
- Develop, train, and evaluate machine learning models for tasks such as classification, regression, clustering, and recommendation systems.
- Implement and optimize algorithms for predictive modeling and forecasting.
- Deploy machine learning models into production environments and monitor their performance.
- Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
- Design and conduct A/B tests and other experiments to validate hypotheses.
- Stay current with the latest research and advancements in machine learning and artificial intelligence.
- Communicate complex findings and recommendations clearly through visualizations and presentations.
- Contribute to the development of data infrastructure and tooling.
- Mentor junior data analysts and scientists.
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
- Proven experience as a Data Scientist with a strong portfolio of machine learning projects.
- Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn, Pandas, NumPy).
- Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with SQL and database management.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).
- Ability to work effectively in a collaborative team environment.
Data Scientist - Machine Learning
Posted today
Job Viewed
Job Description
We are seeking a talented Machine Learning Associate to support the development and implementation of data models, focusing on innovative projects.
- Support the design and implementation of data-driven solutions using Machine Learning algorithms.
- Preprocess, clean, and analyze datasets to prepare them for modeling and contribute to higher-level data science initiatives.
- Gain hands-on experience in Deep Learning and General AI under the guidance of senior data scientists.
- Enhance skills in Python, Machine Learning, and related areas through training and practical experience.
- Collaborate with team members to ensure effective implementation of data science solutions.
- Document methodologies and results, ensuring transparency and reproducibility of data science processes.
- Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
- Experience in a data science role, demonstrating practical experience and strong Python programming skills.
- Familiarity with Business Intelligence (BI) & Data Engineering concepts and tools.
- Affinity for Machine Learning principles and libraries in Python.
At our organization, we value diversity and create an inclusive environment for all employees. We encourage applications from individuals of all backgrounds and experiences.
OthersWe strive to foster a culture where every team member feels valued and respected. We believe in the power of diversity and innovation, and we invite you to join us on this journey.
Machine Learning Data Scientist
Posted today
Job Viewed
Job Description
About the Role
">We are seeking a highly skilled Machine Learning Data Scientist to join our product-driven team. As a Machine Learning Data Scientist, you will work closely with other Engineers, Product Managers, and underwriters to develop, improve, and deploy machine learning models and to solve other optimization problems.
The ideal candidate will have a strong background in machine learning, data analysis, and software engineering. You will be responsible for designing and implementing machine learning algorithms, data pipelines, and cloud computing infrastructure to support our business goals.
You will also collaborate with cross-functional teams to identify opportunities for process improvements and implement changes that drive business results.
Responsibilities
">- Data Science : Design and implement machine learning algorithms, data pipelines, and data products to support business goals.
- Cloud Computing Infrastructure : Design, build, and maintain scalable cloud computing infrastructure to support machine learning models and data pipelines.
- Collaboration : Work closely with cross-functional teams to identify opportunities for process improvements and implement changes that drive business results.
Requirements
">- Technical Skills
- Strong background in machine learning, data analysis, and software engineering.
- Proficiency in programming languages such as Python, R, or SQL.
- Familiarity with cloud computing platforms such as AWS or GCP.
- Non-Technical Skills
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and prioritize multiple tasks.
- Strong problem-solving skills and attention to detail.
What We Offer
">- Competitive Salary and Benefits
- Ongoing Training and Development Opportunities
- Collaborative and Dynamic Work Environment
Data Scientist- Machine Learning
Posted 3 days ago
Job Viewed
Job Description
Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure& Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.
PFB the job description for the Data Scientist role for your better understanding along with company details as well.
Timings- 02:30 pm to 11:30 pm IST
Location- Noida (Sec-142)
Mode- Work from the Office (3 Days from the office and 2 Days from Home)
About the Role:
We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.
You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands-on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.
What We're Looking For
- 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
- 2+ years' experience developing and tuning LLM systems.
- Strong cross-functional communication with technical and non-technical partners.
- Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
- Strong software development foundations - dedication to high code quality, stable architecture
Key Responsibilities
- Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
- Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
- Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
- Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
- Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
- Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
- Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
- Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
- Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.
Data Scientist- Machine Learning
Posted today
Job Viewed
Job Description
About Company
Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure& Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.
PFB the job description for the Data Scientist role for your better understanding along with company details as well.
Timings- 02:30 pm to 11:30 pm IST
Location- Noida (Sec-142)
Mode- Work from the Office (3 Days from the office and 2 Days from Home)
About the Role:
We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.
You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands-on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.
What We're Looking For
- 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
- 2+ years' experience developing and tuning LLM systems.
- Strong cross-functional communication with technical and non-technical partners.
- Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
- Strong software development foundations - dedication to high code quality, stable architecture
Key Responsibilities
- Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
- Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
- Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
- Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
- Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
- Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
- Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
- Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
- Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.
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Data Scientist- Machine Learning
Posted 3 days ago
Job Viewed
Job Description
About Company
Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure& Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.
PFB the job description for the Data Scientist role for your better understanding along with company details as well.
Timings- 02:30 pm to 11:30 pm IST
Location- Noida (Sec-142)
Mode- Work from the Office (3 Days from the office and 2 Days from Home)
About the Role:
We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.
You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands-on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.
What We're Looking For
- 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
- 2+ years' experience developing and tuning LLM systems.
- Strong cross-functional communication with technical and non-technical partners.
- Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
- Strong software development foundations - dedication to high code quality, stable architecture
Key Responsibilities
- Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
- Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
- Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
- Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
- Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
- Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
- Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
- Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
- Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.
Data Scientist- Machine Learning
Posted today
Job Viewed
Job Description
About Company
Infostride is a certified firm serving various Federal, State, Local, and County Departments in primarily IT consulting and Services. We specialize in providing Digital Transformation solutions to our clients, including website development, website redesign, custom application development, Cloud Infrastructure& Security & data analytics. With corporate headquarters in the United States & offshore development center in India, our global presence also includes Dubai and Singapore. We leverage the global delivery model approach to provide best-in-class services for our Govt and Commercial Customers.
PFB the job description for the Data Scientist role for your better understanding along with company details as well.
Timings- 02:30 pm to 11:30 pm IST
Location- Noida (Sec-142)
Mode- Work from the Office (3 Days from the office and 2 Days from Home)
About the Role:
We're looking for an experienced Data Scientist to join our Data Science team with a focus on model implementation and operational excellence. In this role, you will be responsible for taking data science models from development to production, ensuring they perform optimally in real-world healthcare environments, and providing ongoing technical support to maintain model reliability and accuracy.
You will work closely with implementation teams and clients to configure models for specific healthcare settings, diagnose and resolve performance issues, validate data quality throughout the deployment process, and provide expert troubleshooting support for our ML and LLM solutions. This hands-on role requires deep technical expertise in model operationalization and the ability to quickly identify and resolve issues that arise during model configuration and ongoing client operations.
What We're Looking For
- 5+ years of relative industry experience developing, launching, and maintaining ML systems in production at scale.
- 2+ years' experience developing and tuning LLM systems.
- Strong cross-functional communication with technical and non-technical partners.
- Hands-on data engineering experience manipulating data sets, data cleaning, and pipelines with strong coding skills in Python and SQL.
- Strong software development foundations - dedication to high code quality, stable architecture
Key Responsibilities
- Implement and configure statistical and machine learning models in production environments, ensuring optimal performance across diverse healthcare settings.
- Diagnose and troubleshoot model performance issues during configuration, including identifying root causes related to data quality, feature engineering, and model parameters.
- Conduct comprehensive data validation throughout the implementation process to ensure model inputs meet quality standards and flag potential issues before they impact performance.
- Provide ongoing technical support to clients, investigating and resolving model-related issues that arise in production environments.
- Collaborate with implementation teams to configure LLM systems for specific client needs, troubleshooting performance bottlenecks and ensuring reliable deployment.
- Monitor deployed models for performance degradation and implement corrective measures to maintain accuracy and reliability.
- Develop and maintain diagnostic tools and processes to streamline troubleshooting and support workflows.
- Work cross-functionally with customer success, implementation, and engineering teams to ensure seamless model deployment and ongoing support.
- Document troubleshooting procedures and create knowledge base materials to support scaling of implementation and support processes.
Machine Learning Data Scientist
Posted today
Job Viewed
Job Description
About Business Unit:
Powerful predictors of the future - our Analytics team seamlessly blends data science and business intelligence to provide unparalleled foresight for our platform offerings. They turn insights into actionable results for our clients by collaborating with senior team members and staying ahead of market trends, powered by our data assets. By using new-age analytic tools and emerging technologies, the team cultivates a dynamic learning environment for curious minds to thrive.
Who we are looking for?
At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing, and we are on the lookout for dedicated individuals who use descriptive, predictive and prescriptive analytics to impact consumer behaviour every day.
So, are you someone who enjoys leading conversations with influential stakeholders to help clients understand the value of their investments? Then you could be exactly who we are looking for.
Apply today and be part of a creative, innovative and versatile team who constantly share insights, solve problems and create the remarkable.
What you’ll do?
The Digital Analytics team in the Client Analytics Group works on client engagements and related delivery for People Cloud Prospect & Discovery environments. The team also partners with client consulting team and platform team and data providers, using analytics and data science to drive strategic thought and effective decision making. The Data Scientist is responsible for conducting data analyses using Python/SQL/PySpark and other tools in support of a variety of analytic solutions.
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision and 1 Voice.
Responsibilities
Operational
- Perform hands-on analysis on large volumes of customer’s first-party data and third-party data to provide statistically valid analysis and related Master and perform all steps required to create analysis-ready datasets, including data integration/merging, variable preparation, and quality control (QA/QC)
- Provide proficient problem solving and data analysis, derived from modelling and statistical experience
- Design and Implement Machine learning models using Spark ML and Python/Pyspark
- Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business impact.
- Present statistical results to both technical and non-technical audience in a clear manner
- Participate in the design, planning & execution of projects
- Own end to end implementations of Marketing machine learning models such as Customer Segmentation, Propensity models, CLTV etc.
Functional
- Become proficient with Epsilon data assets
- Document and articulate steps taken in an analysis to project managers. Follow all policies and procedures for programming, project documentation, and system management
- Be an active learner - learn new and powerful tools, technologies, algorithms and methodologies to be at the edge of data science learnings
- Collaborate well with cross-functional internal teams as needed to drive results
- Effectively manage time and resources in order to deliver on time / correctly on a limited number (1-4) of concurrent projects.
- Proactively communicate with supervisor regarding workload and the status of assignments and manage partners effectively.
Qualifications
- Bachelor’s degree, or higher, in a quantitative discipline (e.G., Engineering, Statistics, Economics, Mathematics, Marketing Analytics) or significant relevant coursework
- 4-9 years of experience in the analytics and data science;
marketing analytics experience preferred - Strong experience with Python, SQL and Microsoft office packages
- Must have hands-on experience with machine learning and statistical techniques like Logistic regression, Decision trees, Random Forest, K-means clustering etc.
- Experience in distributed computing using PySpark, comfort with DataBricks and experience in machine learning with Spark / MLlib
- Strong analytic thought process and ability to interpret findings
- Acute attention to detail (QA/QC)
- Excellent verbal and written communication skills
- Highly motivated and collaborative team player with strong interpersonal skills
- Effective organization and time management skills
- Passion for understanding key business problems, bringing together a team to understand data/ instrumentation needs and/or mine through data to unearth deep insights into customer experiences
- Proven capability to deliver end-to-end analyses by asking the right questions, extracting data, and building predictive models to ensure actionable results