Position:
• Data Science Analyst
Company:
• The Cigna Group
Location:
• Bengaluru, Karnataka, India
Job Type:
• Full Time
Job Mode:
• Onsite
Job Requisition ID:
• 26007306
Years of Experience:
• 0 to 3 years
Company Description
About The Cigna Group
• The Cigna Group is a globally recognized healthcare services organization focused on improving health outcomes and supporting individuals throughout different stages of life.
• Through its healthcare and health services divisions, the company works toward creating a more accessible, efficient, and customer focused healthcare ecosystem.
• The organization serves millions of customers across multiple countries by providing health insurance solutions, healthcare management services, wellness initiatives, and technology driven healthcare programs.
• The company places significant emphasis on innovation, analytics, artificial intelligence, and digital transformation to enhance healthcare delivery and improve customer experiences.
• Employees at The Cigna Group work on projects that combine healthcare expertise with modern technology, allowing teams to create solutions that generate meaningful impact for patients, healthcare providers, insurers, and healthcare administrators.
• The organization promotes a culture of collaboration, continuous learning, accountability, innovation, and customer centric decision making.
• With growing investments in data science, cloud computing, machine learning, and advanced analytics, The Cigna Group continues to strengthen its capabilities in predictive healthcare, operational efficiency, and data driven decision making.
• The company supports professionals from diverse backgrounds and encourages individuals to develop new skills while contributing to projects that directly influence healthcare quality and business performance.
• Employees gain opportunities to work with global stakeholders, multidisciplinary teams, and advanced technologies while solving real world healthcare challenges.
• By combining healthcare expertise with analytical innovation, The Cigna Group remains committed to driving growth, improving lives, and creating long term value for customers and healthcare partners.
Profile Overview
About the Role
• The Data Science Analyst position is designed for individuals who enjoy working with data, solving business problems, and transforming information into meaningful insights.
• The role is part of the Data Science and AI Engineering function supporting International Health operations.
• Professionals joining this team will contribute to projects involving descriptive analytics, predictive modeling, artificial intelligence, and healthcare insights generation.
• The primary focus area for this role is the Provider domain, which includes healthcare providers such as hospitals, physician networks, specialty care centers, and other healthcare organizations.
• The successful candidate will help analyze provider performance, network efficiency, healthcare utilization patterns, and operational effectiveness.
• Team members will collaborate closely with product owners, business stakeholders, healthcare specialists, data engineers, cloud engineers, and governance teams.
• The role offers exposure to modern analytics frameworks, cloud technologies, AI enabled solutions, and healthcare specific datasets.
• Individuals will participate in the development of scalable analytical products that help business leaders make informed decisions.
• The position also provides opportunities to work with generative AI technologies and support emerging use cases involving knowledge discovery and intelligent analytics.
• Candidates will gain practical exposure to data governance practices, responsible AI implementation, and regulatory requirements relevant to healthcare analytics.
• The role is ideal for early career professionals who want to build expertise at the intersection of healthcare, artificial intelligence, and advanced analytics.
• Employees will contribute to initiatives that directly influence healthcare quality, provider performance evaluation, operational improvements, and business outcomes.
• The position combines technical responsibilities with business engagement, creating opportunities for both analytical and professional growth.
Key Responsibilities
Business Understanding and Stakeholder Collaboration
• Work closely with product owners and business stakeholders to understand analytical requirements and business objectives.
• Support discussions around provider related challenges and healthcare business priorities.
• Assist in translating business questions into structured analytical approaches.
• Participate in requirement gathering sessions and stakeholder meetings.
• Help identify opportunities where data driven insights can support decision making.
• Collaborate with cross functional teams to align analytical work with business goals.
Analytics and Data Science
• Support the design and development of predictive analytics solutions.
• Assist in creating models that improve understanding of provider performance and healthcare operations.
• Contribute to analytical studies focused on network optimization and healthcare delivery effectiveness.
• Help generate insights from structured and unstructured healthcare data.
• Participate in data exploration, trend identification, and performance measurement activities.
• Support prescriptive analytics initiatives aimed at improving operational outcomes.
• Assist in evaluating analytical results and communicating findings to stakeholders.
Agile Delivery and Product Development
• Participate in agile ceremonies and sprint planning activities.
• Contribute to backlog refinement and prioritization discussions.
• Assist in delivering analytical products through iterative development cycles.
• Work within multidisciplinary teams focused on continuous improvement.
• Support testing and validation of analytical outputs before deployment.
• Help maintain documentation related to analytical products and business requirements.
Generative AI and Emerging Technologies
• Contribute to analytics initiatives involving generative AI capabilities.
• Support the creation and maintenance of knowledge repositories used in AI applications.
• Assist in Retrieval Augmented Generation related activities.
• Explore practical applications of foundation models within healthcare analytics environments.
• Help evaluate AI generated outputs for quality, accuracy, and relevance.
• Participate in discussions around responsible use of AI technologies.
Data Quality and Data Management
• Assist in identifying critical data elements necessary for analytics projects.
• Support data quality assessments and validation activities.
• Help maintain consistency, reliability, and usability of provider datasets.
• Participate in data cleansing and enrichment activities.
• Work with engineering teams to improve data availability and accessibility.
• Contribute to maintaining analytical datasets suitable for reporting and modeling.
Collaboration with Technical Teams
• Work alongside Data Engineering teams on data ingestion processes.
• Support integration of healthcare data from multiple internal and external sources.
• Collaborate with Cloud Engineering teams to improve analytics infrastructure.
• Assist in data transformation and preparation activities.
• Participate in projects involving cloud based analytical platforms.
Governance and Compliance
• Follow established data governance standards and practices.
• Support responsible AI implementation efforts.
• Gain practical understanding of governance frameworks applicable to analytics initiatives.
• Participate in compliance related activities involving healthcare and AI systems.
• Assist in maintaining transparency and accountability in analytical processes.
• Develop familiarity with regulatory expectations related to AI enabled solutions.
Qualifications
Educational Requirements
• Bachelor's degree or higher qualification in Data Science, Statistics, Computer Science, Engineering, Mathematics, Information Technology, or a related field.
• Strong academic foundation in analytical thinking, problem solving, and quantitative methods.
• Exposure to statistical analysis, data management, and computational techniques during academic studies.
Technical Skills
• Working knowledge of Python for data analysis and analytical problem solving.
• Understanding of data manipulation, transformation, and exploration techniques.
• Familiarity with SQL for querying relational databases.
• Knowledge of NoSQL databases and modern data storage approaches.
• Exposure to data science workflows and analytical methodologies.
• Ability to work with large datasets and derive actionable insights.
• Understanding of cloud based analytics platforms.
• Familiarity with AWS services such as SageMaker, Athena, or similar tools.
• Exposure to Databricks or related analytics environments.
Healthcare Knowledge
• Understanding of International Classification of Diseases (ICD) concepts.
• Awareness of healthcare and health insurance industry practices.
• Interest in healthcare analytics and provider performance measurement.
• Understanding of how healthcare data supports operational and clinical decision making.
Artificial Intelligence Knowledge
• Basic understanding of foundation models and generative AI technologies.
• Awareness of enterprise applications of large language models.
• Understanding of opportunities and limitations associated with AI systems.
• Exposure to prompt engineering concepts.
• Familiarity with agent based workflows and AI enabled analytics approaches.
• Interest in emerging technologies and innovation within analytics environments.
Communication and Professional Skills
• Strong verbal and written communication skills.
• Ability to present analytical findings clearly and effectively.
• Comfort working with both technical and non technical stakeholders.
• Strong problem solving and critical thinking abilities.
• Willingness to learn new technologies and analytical techniques.
• Ability to work collaboratively in team based environments.
• Good organizational and time management capabilities.
• Professional attitude and willingness to contribute to business success.
Additional Information
Why Consider This Opportunity
• Opportunity to join a globally recognized healthcare organization.
• Exposure to advanced analytics, machine learning, and AI driven projects.
• Chance to work on real world healthcare challenges with measurable business impact.
• Opportunity to collaborate with international teams and stakeholders.
• Exposure to healthcare provider analytics and insurance operations.
• Access to modern cloud technologies and analytical platforms.
• Practical experience working with large scale healthcare datasets.
• Opportunity to build expertise in predictive analytics and data science.
• Involvement in emerging AI initiatives and generative AI use cases.
• Exposure to governance frameworks and responsible AI practices.
Career Growth Potential
• Strong foundation for long term growth within data science and analytics functions.
• Opportunity to develop expertise in healthcare analytics.
• Exposure to product development and agile delivery methodologies.
• Potential to expand skills across machine learning, cloud computing, and AI engineering.
• Opportunity to work on projects that combine business strategy with advanced analytics.
• Continuous learning environment focused on professional development.
• Access to mentorship from experienced professionals across multiple disciplines.
• Opportunities to build both technical and business domain expertise.
Ideal Candidate Profile
• Curious and analytical individual who enjoys solving business problems using data.
• Early career professional seeking hands on experience in data science.
• Strong interest in healthcare, analytics, and artificial intelligence.
• Comfortable working with large datasets and analytical tools.
• Motivated to learn emerging technologies and industry best practices.
• Capable of balancing technical tasks with stakeholder communication.
• Interested in creating meaningful impact through data driven decision making.
• Passionate about using technology to improve healthcare outcomes and operational efficiency.
• Eager to contribute to a collaborative and innovation focused environment.
• Ready to build a successful career within a global healthcare organization focused on improving lives through data, analytics, and technology.
Please click here to apply.
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