About the RoleWe are building a founding AI & Analytics team within Cigna Finance as part of the Finance Data Office in Hyderabad.This is not a research lab, it’s a hands-on team that will define how Finance operates in the AI era. Our goal is simple: use AI and data to make Finance faster, smarter, and more efficient.If you enjoy solving real business problems, building end-to-end AI solutions, and creating things that actually get used, this is the team to join.What You’ll Work OnYou’ll help us tackle some of Finance’s most important challenges — the ones that currently require manual effort, repeated checks, or slow hand-offs. Your work may include:Using LLMs, small LMs, GenAI, and NLP to understand complex contracts, guarantees, and rebate termsBuilding AI agents and automated workflows that simplify multi-step Finance processesCreating smarter forecasting and scenario-planning models that help teams make better decisionsAutomating business processes to speed up close activities and reduce manual workDesigning solutions that reconcile data across systems and flag mismatches before they become issuesBuilding reliable data pipelines that power AI models, reporting, and real-time insightsIn short: you will make AI real inside Finance, embedded in daily operations, not sitting on the side as an experiment.Who We’re Looking ForWe’re not hiring for rigid job titles. We’re looking for builders, people who can understand a business problem, explore the data, and create a working solution.You might be a great fit if you have:Core Technical SkillsStrong hands-on experience with Python, machine learning, and AI engineeringExperience with GenAI, LLMs, small language models, RAG, and agentic AIConfidence designing and tuning NLP and predictive modelsAbility to build and manage data workflows on platforms like Databricks, or similarStrong prompt engineering fundamentalsProblem-Solving + Business SkillsAbility to translate business needs into technical solutions(e.g., “How can we improve cash forecasting accuracy, not just build another model?”)Comfort working with Finance datasets or ERP-related dataCuriosity, adaptability, and the drive to build new solutions without a playbookExperience partnering with engineering teams and AI CoEs to productize modelsWays of WorkingComfortable starting small, iterating quickly, and improving based on feedbackAble to collaborate directly with global Finance stakeholdersExperience working in global environments and empathy for end usersWe value mindset as much as skillset, we want people who enjoy figuring things out and want to see their work make an impact.Why This Role Is ExcitingThis is a rare opportunity to build AI capabilities from the ground up inside a large, global organization.You’ll get:The freedom to build and experimentThe ability to see your work used by real Finance teamsThe chance to shape how Finance operates in the futureVisibility and impact across multiple Finance functionsYou won’t be executing someone else’s roadmap, you’ll help create it.Qualifications & Experience• 5-8 years in analytics, data science, or business intelligence with at least 5 years in a leadership or lead role.• Experience delivering analytics or automation initiatives for Finance or FP&A functions.• Knowledge of finance data domains such as general ledger, allocations, forecasting, and planning.• Strong skills in tools like Power BI, Databricks, Microsoft Fabric, and Denodo.• Familiarity with AI/ML frameworks (Python, TensorFlow, Azure ML) and emerging GenAI and automation tools.• Certifications such as Azure AI Engineer or Data Science Professional are a plus.• Strong communication and stakeholder management skills.About Evernorth Health ServicesEvernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.