Data Scientist - (260004IC)
Missions
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Profile
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Responsibilities
Data Scientist - (260004IC)
Missions
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Profile
A seasoned Data Scientist with 6-7 years of professional experience. This role offers the opportunity to leverage expertise in statistical analysis and AI/ML to develop impactful solutions that align with our enterprise strategy. Data Scientist will be deeply involved in the entire project lifecycle—from data preparation and exploratory analysis to model deployment—while collaborating with multidisciplinary teams to deliver scalable, measurable results.
Key Responsibilities:
- Develop and implement high-impact AI/ML use cases that support our organizational objectives.
- Communicate findings, insights, and methodologies clearly to non-technical stakeholders.
- Design, build, and optimize predictive models, classifiers, and regression algorithms using classical AI/ML techniques such as SVMs, Decision Trees, Random Forests, k-NN, Naive Bayes, and ensemble methods.
- Validate models with appropriate statistical and machine learning evaluation techniques.
- Apply strong statistical foundations, including distributions, hypothesis testing, regression analysis, and probability theory.
- Conduct thorough exploratory data analysis to uncover key trends, patterns, and anomalies.
- Ensure data quality and reliability through rigorous analytical practices.
- Support the ML lifecycle, including model design, infrastructure, production setup, monitoring, and release management, with basic familiarity in MLOps.
Requirements:
- 6-7 years of hands-on experience in Data Science.
- Proven proficiency in statistical data analysis, machine learning, and natural language processing, with a strong understanding of practical constraints.(Must Have)
- Advanced skills in Python programming and SQL, utilizing relevant libraries for effective data analysis. (Must Have)
- Demonstrated experience in AI/ML solution development, including supervised and unsupervised learning algorithms, model evaluation, and feature engineering. (Must Have)
- Basic familiarity with MLOps and feature engineering methods for model workflows.(Basic Knowledge)
- Competency in software development methodologies and versioning tools. (Must Have)
- Experience with front-end visualization tools such as Streamlit or lightweight UI layers (Good to Have).
- Exposure to GenAI, including LLM integration, prompt engineering, model packaging, and lifecycle management (Preferred).
- Familiarity with agentic AI frameworks like LangChain and LangGraph, and agent-based patterns (Good to have
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, ensuring that solutions remain robust and aligned with evolving project goals. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team.- Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML).- Good To Have Skills: Experience with Python (Programming Language).- Strong knowledge of machine learning model development, evaluation, and deployment.- Familiarity with data preprocessing techniques and feature engineering to optimize model performance.- Experience in integrating machine learning models into software applications and systems.- Ability to work with large datasets and apply statistical methods to extract meaningful insights. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML)
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, ensuring that solutions remain robust and aligned with evolving project goals. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team.- Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML).- Good To Have Skills: Experience with Python (Programming Language).- Strong knowledge of machine learning model development, evaluation, and deployment.- Familiarity with data preprocessing techniques and feature engineering to optimize model performance.- Experience in integrating machine learning models into software applications and systems.- Ability to work with large datasets and apply statistical methods to extract meaningful insights. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML)
Salary : Rs. 0.0 - Rs. 2,16,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project requirements are met, facilitating discussions to address challenges, and guiding the development process to deliver high-quality software solutions. You will engage with stakeholders to gather feedback and make necessary adjustments, ensuring that the applications align with user needs and business objectives. Your role will also include mentoring team members and fostering a collaborative environment to enhance productivity and innovation.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate training sessions to enhance team skills and knowledge.
- Monitor project progress and ensure timely delivery of milestones.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Pega Platform.
- Strong understanding of application design principles and best practices.
- Experience with integration of Pega applications with other systems.
- Ability to troubleshoot and resolve technical issues effectively.
- Familiarity with Agile methodologies and project management tools.
- Should have knowledge in Application design and development from scratch.
- Strong knowledge in Case Management life cycle design.
-Must have knowledge in Enterprise class structure, Micro services and Components design and development.
-Good knowledge in Security concepts like Authentication, Authorization, ARO’s, ABAC,RBAC and Privileges etc.
- Strong knowledge in Integrations mainly SOAP, REST,FILE and Kafka.
Must have knowledge in Kafka, Queue Processors, Job Schedulers, Data flows, Datasets, Batch and Realtime processing concepts.
Good to have knowledge in CI/CD tools like Jenkins and PDM and must have knowledge in Pipelines setup for automation of Deployment process.
Good to have knowledge in PDC for monitoring the alerts and Splunk for analyzing the logs.
Good to have DXI, DXC and Constellation experience.
Responsibilities
As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that project requirements are met, facilitating discussions to address challenges, and guiding the development process to deliver high-quality software solutions. You will engage with stakeholders to gather feedback and make necessary adjustments, ensuring that the applications align with user needs and business objectives. Your role will also include mentoring team members and fostering a collaborative environment to enhance productivity and innovation.
Roles & Responsibilities:
- Expected to be an SME.
- Collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Facilitate training sessions to enhance team skills and knowledge.
- Monitor project progress and ensure timely delivery of milestones.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Pega Platform.
- Strong understanding of application design principles and best practices.
- Experience with integration of Pega applications with other systems.
- Ability to troubleshoot and resolve technical issues effectively.
- Familiarity with Agile methodologies and project management tools.
- Should have knowledge in Application design and development from scratch.
- Strong knowledge in Case Management life cycle design.
-Must have knowledge in Enterprise class structure, Micro services and Components design and development.
-Good knowledge in Security concepts like Authentication, Authorization, ARO’s, ABAC,RBAC and Privileges etc.
- Strong knowledge in Integrations mainly SOAP, REST,FILE and Kafka.
Must have knowledge in Kafka, Queue Processors, Job Schedulers, Data flows, Datasets, Batch and Realtime processing concepts.
Good to have knowledge in CI/CD tools like Jenkins and PDM and must have knowledge in Pipelines setup for automation of Deployment process.
Good to have knowledge in PDC for monitoring the alerts and Splunk for analyzing the logs.
Good to have DXI, DXC and Constellation experience.
Salary : Rs. 0.0 - Rs. 3,80,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, ensuring that solutions remain robust and aligned with evolving project goals. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team.- Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML).- Good To Have Skills: Experience with Python (Programming Language).- Strong knowledge of machine learning model development, evaluation, and deployment.- Familiarity with data preprocessing techniques and feature engineering to optimize model performance.- Experience in integrating machine learning models into software applications and systems.- Ability to work with large datasets and apply statistical methods to extract meaningful insights. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML).- This position is based at our Gurugram office.- A 15 years full time education is required.
Responsibilities
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient software that meets unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, ensuring that solutions remain robust and aligned with evolving project goals. Roles & Responsibilities: - Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.- Mentor junior team members to support their professional growth and integration within the team.- Coordinate cross-functional communication to ensure alignment of project objectives and timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Machine Learning (ML).- Good To Have Skills: Experience with Python (Programming Language).- Strong knowledge of machine learning model development, evaluation, and deployment.- Familiarity with data preprocessing techniques and feature engineering to optimize model performance.- Experience in integrating machine learning models into software applications and systems.- Ability to work with large datasets and apply statistical methods to extract meaningful insights. Additional Information: - The candidate should have minimum 5 years of experience in Machine Learning (ML).- This position is based at our Gurugram office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 2,79,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
ServiceNow QA professional with 4+ years of experience in testing and validating applications within ITSM and other ServiceNow specific modules. Expertise should include manual, regression, integration testing, and UAT, alongside proficiency in ServiceNow Automated Test Framework (ATF) for automation. Should be skilled in analyzing business requirements, designing test cases, and executing comprehensive end-to-end testing for various workflows and integrations. Proven ability to collaborate in Agile/Scrum environments to deliver high-quality software releases Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct code reviews to ensure adherence to best practices and quality standards.- Experience in Service Catalog items, Record Producers, Variable Sets, and Order Guides with workflows and Flow Designer Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow.- Experience with modern software development frameworks.- Strong understanding of agile methodologies and practices.- Ability to troubleshoot and resolve software issues effectively.- Familiarity with integration techniques and APIs. Additional Information: - The candidate should have minimum 3 years of experience in ServiceNow.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Responsibilities
ServiceNow QA professional with 4+ years of experience in testing and validating applications within ITSM and other ServiceNow specific modules. Expertise should include manual, regression, integration testing, and UAT, alongside proficiency in ServiceNow Automated Test Framework (ATF) for automation. Should be skilled in analyzing business requirements, designing test cases, and executing comprehensive end-to-end testing for various workflows and integrations. Proven ability to collaborate in Agile/Scrum environments to deliver high-quality software releases Roles & Responsibilities: - Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct code reviews to ensure adherence to best practices and quality standards.- Experience in Service Catalog items, Record Producers, Variable Sets, and Order Guides with workflows and Flow Designer Professional & Technical Skills: - Must To Have Skills: Proficiency in ServiceNow.- Experience with modern software development frameworks.- Strong understanding of agile methodologies and practices.- Ability to troubleshoot and resolve software issues effectively.- Familiarity with integration techniques and APIs. Additional Information: - The candidate should have minimum 3 years of experience in ServiceNow.- This position is based at our Bengaluru office.- A 15 years full time education is required.
Salary : Rs. 0.0 - Rs. 1,10,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Chennai SQL, Python (Basics), Commercial pharma analytics/IQVIA datasets/claims datasets/Rx related data knowledge Power BI (basics) Effective communication 3-7 years
Responsibilities
Chennai SQL, Python (Basics), Commercial pharma analytics/IQVIA datasets/claims datasets/Rx related data knowledge Power BI (basics) Effective communication 3-7 years
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Role Descriptions: Bigdata Lead (Overall 10+ years & Relevant 8+ years mandate)
JD - Need strong candidates in Big data & Pyspark
Key Responsibilities
1. Big Data Engineering & Development
• Design and develop distributed data processing pipelines using Spark, Hadoop, Kafka, and related technologies.
• Build real-time and batch data processing systems with high reliability and performance.
• Develop efficient ETL/ELT workflows for diverse structured and unstructured data sources.
• Optimize data pipelines for scalability, performance, and cost efficiency.
2. Architecture & System Design
• Contribute to the architecture of data lakes, data warehouses, and lakehouse solutions.
• Implement data models, schema design, and best practices for large-scale data management.
• Ensure system reliability using fault-tolerant and distributed computing principles.
3. Cloud & Platform Engineering
• Build and manage solutions on AWS / Azure / GCP (e.g., EMR, Databricks, HDInsight, BigQuery, Snowflake).
• Use orchestration tools such as Airflow, Azure Data Factory, AWS Glue, etc.
• Implement CI/CD workflows for automated deployment of data jobs.
4. Data Quality, Security & Governance
• Integrate data validation, monitoring, and alerting into pipelines.
• Ensure adherence to data governance, privacy, and security frameworks.
• Collaborate with data stewards, architects, and business stakeholders.
5. Collaboration & Leadership
• Mentor junior developers and guide best practices.
• Work closely with data scientists, analysts, and product teams to enable advanced analytics and ML workloads.
• Participate in code reviews, technical discussions, and roadmap planning.
Location - ~BANGALORE~CHENNAI~
Skills: Digital : BigData and Hadoop Ecosystems~Digital : PySpark
Experience Required: 10+ years (Relevant 8+ years mandate)
Responsibilities
Role Descriptions: Bigdata Lead (Overall 10+ years & Relevant 8+ years mandate)
JD - Need strong candidates in Big data & Pyspark
Key Responsibilities
1. Big Data Engineering & Development
• Design and develop distributed data processing pipelines using Spark, Hadoop, Kafka, and related technologies.
• Build real-time and batch data processing systems with high reliability and performance.
• Develop efficient ETL/ELT workflows for diverse structured and unstructured data sources.
• Optimize data pipelines for scalability, performance, and cost efficiency.
2. Architecture & System Design
• Contribute to the architecture of data lakes, data warehouses, and lakehouse solutions.
• Implement data models, schema design, and best practices for large-scale data management.
• Ensure system reliability using fault-tolerant and distributed computing principles.
3. Cloud & Platform Engineering
• Build and manage solutions on AWS / Azure / GCP (e.g., EMR, Databricks, HDInsight, BigQuery, Snowflake).
• Use orchestration tools such as Airflow, Azure Data Factory, AWS Glue, etc.
• Implement CI/CD workflows for automated deployment of data jobs.
4. Data Quality, Security & Governance
• Integrate data validation, monitoring, and alerting into pipelines.
• Ensure adherence to data governance, privacy, and security frameworks.
• Collaborate with data stewards, architects, and business stakeholders.
5. Collaboration & Leadership
• Mentor junior developers and guide best practices.
• Work closely with data scientists, analysts, and product teams to enable advanced analytics and ML workloads.
• Participate in code reviews, technical discussions, and roadmap planning.
Location - ~BANGALORE~CHENNAI~
Skills: Digital : BigData and Hadoop Ecosystems~Digital : PySpark
Experience Required: 10+ years (Relevant 8+ years mandate)
Salary : Rs. 90,000.0 - Rs. 1,65,000.0
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
