EXL

About the Company

Choosing a digital partner is about more than capabilities -- it's about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most -- your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We're your business evolution partner--tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we're here to partner with you to help you gain--and maintain--competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management--alongside deep industry expertise -- to deliver solutions that help you outperform the competition.

At EXL, it's all about outcomes--your outcomes--and delivering success on your terms. Share your goals with us and together, we'll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Listed Jobs

Company Name

EXL

Job Title

Solutions Developer – Independent SAS Consultant

Job Description

Job Title: Solutions Developer – Independent SAS Consultant Role Summary: Deliver end‑to‑end SAS‑based analytics solutions for the banking and financial services domain. Lead design, development, deployment, and maintenance of reporting, forecasting, and data‑management systems on SAS Grid / SAS Platform 9 (and optionally SAS Viya). Collaborate with business and technical stakeholders to translate requirements into scalable, well‑governed data pipelines and analytical frameworks, leveraging SQL, Hadoop, Databricks, and Python where required. Expectations: • Produce high‑quality, reusable analytics and reporting solutions that meet business objectives. • Maintain and optimise SAS environments and data pipelines, ensuring performance, security, and compliance. • Act independently in complex scenarios, proposing pragmatic solutions beyond standard platform capabilities. • Deliver projects on time, within scope, and with clear documentation and stakeholder communication. Key Responsibilities: - Design, develop, and deploy analytics, forecasting, reporting, and data‑management solutions for banking use cases. - Build and maintain SAS Grid / SAS Platform 9 environments, including integration with Hadoop ecosystems. - Develop, manage, and optimise ETL processes and data pipelines across SQL‑based sources, Databricks, and Python scripts. - Produce and maintain high‑quality reports and reusable reporting modules aligned to business needs. - Support strategic analysis and insight generation to drive informed decision‑making. - Deliver project support: planning, documentation, stakeholder engagement, and progress tracking. - Continually optimise analytics and BI environments, implementing enhancements and best practices. Required Skills: - Proven SAS Grid / SAS Platform 9 (SAS P9) expertise with hands‑on development. - Advanced SQL skills for large, complex datasets. - Strong background in analytics, forecasting, reporting, and data‑management. - Data modelling and design of reusable analytical/reporting frameworks. - Ability to translate business requirements into technical solutions. - Structured project delivery experience (project/workstream management). - Strong analytical, problem‑solving, and independent work capabilities. - Excellent communication skills, able to explain technical concepts to non‑technical stakeholders. Desirable: SAS Viya experience, Databricks, Python, data‑engineering collaboration. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Analytics, Statistics, Finance, or related field. - SAS Base/Advanced Programming certification (desired). - PRINCE2 Foundation or Practitioner certification (desired).

Northampton, United kingdom

Hybrid

10-02-2026

Company Name

EXL

Job Title

Frontend Developer

Job Description

**Job Title:** Front-End Developer **Role Summary:** Design, develop, and maintain high‑performance, responsive user interfaces for enterprise analytics and insurance SaaS platforms. Collaborate with backend engineers, architects, and business stakeholders to deliver scalable front‑end solutions using React.js, Next.js, and modern JavaScript technologies. **Expectations:** - 3+ years of professional front‑end development experience. - Proven expertise in JavaScript (ES6+), React.js, Next.js, and Node.js. - Strong understanding of UI architecture, performance optimization, and secure API integration. - Ability to work in agile, globally distributed teams and communicate effectively with technical and non‑technical stakeholders. - Eligible to work in the United Kingdom. **Key Responsibilities:** - Build and maintain client‑side components with React.js, Next.js, and Node.js. - Design responsive, user‑centric interfaces following UX best practices. - Integrate front‑end with RESTful APIs and microservices; implement JWT/OAuth authentication. - Develop reusable UI modules and contribute to design systems and documentation. - Optimize applications for performance, scalability, and cross‑browser compatibility. - Conduct debugging, testing, and defect resolution using tools such as Jest or Mocha. - Manage source code with Git and participate in CI/CD pipelines. - Recommend improvements to front‑end tools, processes, and standards. **Required Skills:** - JavaScript (ES6+), TypeScript, HTML5, CSS3, JSX. - React.js, Next.js, Node.js; state management (Redux, Flux or equivalent). - Build tools: Webpack, Babel, NPM/Yarn. - RESTful API integration, JWT/OAuth. - Experience with SQL and NoSQL databases. - Browser debugging and performance profiling. - Strong problem‑solving and communication abilities. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience). - Relevant certifications (e.g., AWS Certified Developer, React.js certification) are a plus but not mandatory.

London, United kingdom

Hybrid

17-02-2026

Company Name

EXL

Job Title

Senior Gen AI Analyst

Job Description

**Job title**: Senior Gen AI Analyst **Role Summary**: Partner with cross-functional teams—Product, Sales, Marketing, Engineering—to deploy advanced generative AI and machine learning solutions that identify customer intent, enhance decision-making, and boost sales productivity through actionable insights integrated into sales and customer workflows. **Expectations**: - Deliver end-to-end AI/ML solutions that solve complex business problems with measurable impact. - Translate business questions into scalable, production-ready GenAI models and data pipelines. - Operate efficiently in fast-moving, cross-functional environments with a focus on speed, correctness, and practical outcomes. - Manage project deliverables independently, ensuring reliability, accountability, and on-schedule completion. **Key Responsibilities**: 1. Design, develop, and iterate Python/SQL driven ML and LLM models, including prompt engineering, LLM fine‑tuning, and retrieval‑augmented generation (RAG). 2. Build evaluation datasets and performance metrics for LLMs; monitor and debug multi‑step or long‑running LLM agents. 3. Automate prompt engineering workflows using reinforcement learning and other advanced techniques. 4. Integrate GenAI capabilities with data pipelines and downstream applications, leveraging frameworks such as LangChain. 5. Collaborate with Product, Sales, Marketing, and Engineering teams to align AI solutions with business objectives. 6. Conduct feasibility studies, prototypes, and proof‑of‑concepts to evaluate emerging AI techniques. 7. Maintain documentation, best‑practice guidelines, and knowledge transfer across teams. **Required Skills**: - Advanced analytics and AI/ML expertise, specifically in generative AI and large language models. - Proficient in Python and SQL; experienced with ML/LLM implementation, testing, and iteration. - Deep knowledge of prompt engineering, LLM evaluation, performance metrics, and limitations. - Familiarity with RL‑based prompt optimization, LLM fine‑tuning, and lightweight RL approaches. - Experience using contemporary LLM frameworks (e.g., LangChain) and real‑world GenAI use cases. - Strong execution mindset: translating business problems into deployable ML solutions with speed and correctness. - Ability to operate independently and deliver quality work on schedule. - Excellent analytical and problem‑solving skills. **Required Education & Certifications**: - PhD or Master’s degree in a quantitative field (Computer Science, Statistics, Data Science, ML, AI) or equivalent experience. - Minimum 3 years of professional experience in generative AI, advanced ML, or related domains. ---

New york city, United states

Hybrid

Senior

23-02-2026