About the Role
We 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 On
You’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 terms
Building AI agents and automated workflows that simplify multi-step Finance processes
Creating smarter forecasting and scenario-planning models that help teams make better decisions
Automating business processes to speed up close activities and reduce manual work
Designing solutions that reconcile data across systems and flag mismatches before they become issues
Building reliable data pipelines that power AI models, reporting, and real-time insights
In short: you will make AI
real
inside Finance, embedded in daily operations, not sitting on the side as an experiment.
Who We’re Looking For
We’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 Skills
Strong hands-on experience with Python, machine learning, and AI engineering
Experience with GenAI, LLMs, small language models, RAG, and agentic AI
Confidence designing and tuning NLP and predictive models
Ability to build and manage data workflows on platforms like Databricks, or similar
Strong prompt engineering fundamentals
Problem-Solving + Business Skills
Ability 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 data
Curiosity, adaptability, and the drive to build new solutions without a playbook
Experience partnering with engineering teams and AI CoEs to productize models
Ways of Working
Comfortable starting small, iterating quickly, and improving based on feedback
Able to collaborate directly with global Finance stakeholders
Experience working in global environments and empathy for end users
We 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 Exciting
This 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 experiment
The ability to see your work used by real Finance teams
The chance to shape how Finance operates in the future
Visibility and impact across multiple Finance functions
You 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 Services
Evernorth 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.
