EXL Decision Analytics
EXL (NASDAQ:EXLS) is a leading operations management and analytics company that helps businesses enhance growth and profitability in the face of relentless competition and continuous disruption. Using our proprietary, award-winning Business EXLerator Framework™, which integrates analytics, automation, benchmarking, BPO, consulting, industry best practices and technology platforms, we look deeper to help companies improve global operations, enhance data-driven insights, increase customer satisfaction, and manage risk and compliance. EXL serves the insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics industries. Headquartered in New York, New York, EXL has more than 51,000 professionals in locations throughout the United States, Europe, Asia (primarily India and Philippines), Latin America, Australia, and South Africa.
EXL Analytics provides data-driven, action-oriented solutions to business problems through statistical data mining, cutting edge analytics techniques and a consultative approach. Leveraging proprietary methodology and best-of-breed technology, EXL Analytics takes an industry-specific approach to transform our clients’ decision making and embed analytics more deeply into their business processes. Our global footprint of nearly 2,000 data scientists and analysts assist client organizations with complex risk minimization methods, advanced marketing, pricing and CRM strategies, internal cost analysis, and cost and resource optimization within the organization. EXL Analytics serves the insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics industries.
Please visit www.exlservice.com for more information about EXL Analytics.
Roles and Responsibilities for Python Developer
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Design and implement modular, production-ready Python components to replicate and enhance business logic used in underwriting and actuarial workflows
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Work with domain experts to translate analytical models and manual processes into scalable Python code, applying concepts of modularization, encapsulation, and object-oriented design
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Develop robust data processing and transformation pipelines using libraries like Pandas, NumPy, and SciPy
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Design synthetic test data and validation routines to ensure numerical accuracy and robustness across actuarial pricing scenarios
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Collaborate on API development using FastAPI and JSON schemas to expose core functionalities for integration into broader platforms
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Contribute to containerization and deployment workflows using Docker and Poetry for reproducible, maintainable environments
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Integrate and interface with data from Databases, Excel workbooks, and APIs — working closely with stakeholders to extract functional requirements from semi-structured sources
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Participate in MLOps and model deployment pipelines, ensuring code is version-controlled, testable, and well-documented
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Work collaboratively with other developers via Git and GitHub to manage feature branches, perform peer reviews, and deliver clean code
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Document code, APIs, and system design for technical and non-technical stakeholders to ensure transparency and maintainability
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Communicate regularly with business analysts, actuaries, and product owners to align on requirements, clarify assumptions, and deliver high-value solutions
Candidate Profile:
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3–6 years of professional experience as a Python developer, preferably in a data-intensive domain like insurance or finance
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Strong command of core Python concepts including OOPs, modularization, and encapsulation
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Hands-on experience with libraries including Pandas, NumPy, SciPy, JSON, FastAPI, OpenpyXL, and SASPy
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Experience in building and testing modular Python code; familiarity with synthetic test data generation
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Working knowledge of API development, documentation, and understanding of API contracts
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Experience using modern Python packaging and deployment tools like Poetry and Docker
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Familiarity with Git, GitHub workflows, and collaborative development practices
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Basic understanding of AWS services (e.g., S3, Lambda, ECS) and cloud-native application deployment
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Exposure to MLOps tools and concepts, including model deployment and versioning workflows
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Strong communication skills for working with cross-functional teams and presenting technical designs
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Experience working in Agile/Scrum teams
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Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred)
What we offer:
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EXL Analytics offers an exciting, fast paced, and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world-class analytics consultants.
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You can expect to learn several aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth.
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Analytics requires different skill sets at various levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
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We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
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Sky is the limit for our team members. The unique experiences gathered at EXL Analytics set the stage for further growth and development in our company and beyond.
"EOE/Minorities/Females/Vets/Disabilities"