Jobs at EXL

Support end-to-end recruitment for Technology, Data and AI roles: sourcing via LinkedIn Recruiter, screening CVs, scheduling interviews, assisting offers and onboarding, maintaining ATS and Excel trackers, and using AI tools to improve sourcing and administration.

Support design, placement and administration of ceded reinsurance programmes. Analyse large datasets to inform portfolio optimisation, renewals and risk management. Prepare submission packs, renewal documentation and management information, maintain reinsurance data/systems, liaise with brokers, underwriters and cross-functional teams, and support process improvement and automation initiatives.

Lead development and delivery of pricing strategies for credit products (revolving, instalments, cards). Use SQL and Python to build unit-level cashflow, forecasting, incrementality and attribution models, define valuation metrics (NPV, IRR), run A/B tests, automate reporting/dashboards, monitor portfolio performance and regulatory fair value, and collaborate with Credit Risk, Product, Finance and Engineering. Manage and develop a pricing team and present recommendations to senior stakeholders.

Lead development of advanced analytics and machine learning models, create algorithms from scratch, analyze large datasets and relational databases, interpret results and recommend solutions, act as domain expert, perform manual claim selection and audit review, and generate new selection concepts/queries. May lead and manage a team.

Lead qualitative and quantitative research to inform strategic decisions. Perform market sizing, landscaping, pricing and workflow analysis, build reports and dashboards, prepare and validate data, liaise with senior stakeholders and vendors, and support marketing and commercial strategy and governance initiatives.

Lead onshore stakeholder engagement to gather and translate business requirements into technical specifications for Power BI reporting and analytics. Coordinate offshore development, validate data models and dashboards, ensure traceability, manage priorities and delivery, and support insurance data requirements across underwriting, premium, claims, and bordereaux.

Design, develop, configure and maintain Earnix-based pricing and decisioning solutions for P&C insurance. Integrate Earnix with enterprise systems, build data ingestion and model deployment pipelines, support testing, production reliability, troubleshooting, and documentation while collaborating with actuarial, data, and IT teams.

Lead strategic account growth across UK & EMEA Retail and CPG clients by developing account plans, originating and closing new business, executing go-to-market strategies, advising C-suite stakeholders on data/analytics/AI solutions, and coordinating internal consulting and delivery teams to deliver measurable revenue and client value.

Design, develop, and support enterprise-grade applications using .NET/.NET Core and Python; define application and data architectures (relational, NoSQL, data lakes, streaming); advise on on‑prem and cloud infrastructure (VMs, containers, Kubernetes/AKS, Azure); drive SDLC/DevOps practices and CI/CD; troubleshoot cross-layer issues; collaborate with stakeholders to deliver resilient, secure, and scalable insurance-focused solutions.

Manage end-to-end recruitment for UK & Ireland: develop sourcing strategies, screen and assess candidates, maintain ATS, manage agency relationships, report on hiring metrics, support onboarding, and promote diversity and candidate experience.

Lead new business acquisition and strategic account growth for Life Sciences, selling integrated Data, Analytics and AI solutions. Own end-to-end sales cycles, pipeline, renewals, upsell/cross-sell, and profitability. Build CXO relationships, drive multi-stakeholder deal leadership, orchestrate cross-functional solutioning, and align offerings to client priorities to deliver measurable outcomes.

Lead design, implementation and optimisation of Earnix pricing solutions for P&C insurance. Provide technical leadership on architecture, model deployment, integrations, data ingestion, monitoring, testing, and production support. Collaborate with actuarial, underwriting, data, and IT teams to ensure scalable, reliable pricing and decisioning systems and contribute to governance and documentation.

Lead strategic research and insights to inform commercial and marketing decisions. Design and execute qualitative and quantitative research, perform market sizing, pricing and workflow analysis, prepare data, build reports/dashboards, liaise with senior stakeholders and external vendors, and deliver actionable recommendations across global and regional markets.

Lead development and delivery of credit pricing strategies for revolving, instalment and card products. Use SQL and Python to build unit-level cashflow models, forecasting, incrementality and attribution models, run A/B tests, create automated dashboards, monitor portfolio performance, ensure fair value and regulatory compliance, and manage a pricing team while collaborating across Credit Risk, Product, Finance and Engineering.

Conduct market and competitor research, analyse findings, create professional PowerPoint presentations, support RFPs and client documents, research AI and emerging technologies, use AI tools for research, and collaborate across teams on ad hoc reporting to support business growth.

Design, develop and maintain conceptual, logical and physical enterprise data models. Translate business requirements into scalable data solutions, define source-to-target mappings, support relational and NoSQL implementations, optimise performance, drive data modelling standards, perform reverse engineering, and advise stakeholders on data architecture, governance and integration throughout project lifecycles.

Entry-level role for recent graduates to research and support Data & AI innovation. Responsibilities include trend research, using GenAI tools (e.g., Claude), developing client-facing presentations, collaborating with senior experts, and contributing to new Data and AI offerings.

Analyse digital marketing performance and customer journeys to improve acquisition, engagement and conversion. Support A/B and multivariate testing, build dashboards and KPIs, integrate multi-source data, produce analytical readouts, present findings to stakeholders, and collaborate with digital, product and analytics teams to drive data-led decisions.

Lead client-facing analytics engagements for insurance clients: drive business development, manage accounts, oversee delivery of analytics use cases (claims, underwriting, marketing, actuarial), collaborate with technical teams on cloud and data solutions, build relationships with senior client stakeholders, and represent the firm in industry thought leadership.

Lead and scale an ecosystem-led revenue engine for EXL Data, Analytics & AI. Build hyperscaler and data-platform partnerships (MAG, Databricks, Snowflake), drive co-sell, joint solutions, marketplace monetization, industry-specific offerings, and embed partner-led GTM across sales, solutions, and marketing to accelerate large data and AI transformation deals.