🏢 Company Overview:
The Cigna Group is a global health services company committed to improving the health, well-being, and peace of mind of those it serves. Through its broad range of healthcare, pharmacy, and data-driven solutions, Cigna empowers individuals and organizations to make informed health and business decisions. The company fosters innovation through analytics, technology, and compassionate service.
💼 Job Details:
- Employment type: Full Time
- Experience: 4+ Years
- Salary: ₹45,000 – ₹53,000 monthly
- Location: Remote
- Work timing: 9:15 AM to 6:15 PM
- Working Days: 5 Days
- Education: Any Degree
📝 Job Description:
The Cigna Group is seeking a highly analytical and motivated Data Science Senior Analyst to join its advanced analytics and insights team. The ideal candidate will apply statistical, machine learning, and predictive modeling techniques to solve complex business challenges and enhance decision-making across healthcare and insurance operations.
🔑 Key Responsibilities:
- Develop and deploy advanced predictive and prescriptive models to address business needs
- Collaborate with cross-functional teams to define analytical strategies and key performance metrics
- Collect, clean, and analyze structured and unstructured data from multiple sources
- Translate data insights into actionable business recommendations for leadership teams
- Build automated dashboards and data visualizations for reporting and monitoring
- Work with engineering teams to operationalize machine learning models
- Continuously evaluate model performance and refine methodologies for accuracy and efficiency
🛠️ Required Skills & Qualifications:
- Proficiency in Python, R, SQL, and data visualization tools (e.g., Tableau, Power BI)
- Strong background in statistics, machine learning, and data modeling
- Experience with large datasets and distributed computing tools (e.g., Spark, Hadoop)
- Knowledge of healthcare or insurance domain analytics is an advantage
- Excellent problem-solving, analytical thinking, and communication skills
- Ability to translate technical insights into business-friendly language
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Mathematics, or related fields
🌟 Benefits:
- Opportunity to work on meaningful projects impacting global healthcare outcomes
- Collaborative, data-driven work culture
- Professional growth through continuous learning and upskilling opportunities
- Flexible work environment and supportive leadership
