Jobs at EXL

Designs and maintains scalable data pipelines and platforms using Palantir Foundry, cloud services, Python, PySpark, and TypeScript. Builds Foundry datasets, applications, integrations, and AI-enabled workflows; develops user-facing solutions with Workshop and Slate. Partners with stakeholders to deliver enterprise data products, while implementing data quality, governance, security, performance optimization, CI/CD, DevOps, and cloud-native deployment practices for insurance-sector initiatives.

Leads development, enhancement, governance, calibration, and validation of UK mortgage IRB credit risk models covering PD, LGD, and EAD. The role manages model lifecycle activities, back-testing, performance analysis, deficiency remediation, documentation, stakeholder engagement, and compliance with UK PRA Basel 3.1 requirements. It requires collaboration across credit, risk, business, and support functions, plus strong quantitative, regulatory, coding, communication, and project leadership skills.

Lead financial and regulatory reporting engagements for insurance clients, reviewing statutory statements, management reporting, regulatory submissions, investment accounting, and reporting controls. Manage audit relationships, close processes, remediation, governance improvements, and reporting transformation initiatives. Advise senior finance stakeholders, lead workshops, present recommendations, and coordinate delivery teams across onshore and offshore locations while driving automation, standardization, and technology enablement.

Lead insurance-focused AI and digital transformation consulting across the UK and EMEA. Develop go-to-market strategy, originate and close complex opportunities, manage client relationships, shape data and AI solutions, and lead maturity assessments, target-state blueprints, roadmaps, and implementation prioritization. Own engagement P&L, pricing, budgets, revenue projections, pipeline, margins, and account expansion while advising senior insurance executives and coordinating multidisciplinary consulting, architecture, engineering, data, AI, and delivery teams.

Design, build, deploy, and optimize scalable data pipelines and ETL/ELT processes using Azure Databricks and related Azure services. Develop data models, data quality frameworks, integration solutions, and technical documentation for insurance data transformation programs. Collaborate with stakeholders, lead technical delivery, and apply data governance, warehousing, distributed computing, Agile, and DevOps practices.

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.

Own the UK marketing strategy for Insurance and Banking, driving brand recognition, demand generation, qualified leads, pipeline growth, and priority account nurturing. Develop industry marketing programs, coordinate globally distributed specialists, partner with executives and sales teams, measure performance and ROI, and optimize campaigns. The role requires strategic planning, hands-on execution, stakeholder influence, data-driven decision-making, and integrating AI into marketing workflows.

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 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.

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.

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 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.

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.

Lead migration of SAS-based analytical EUCs to GCP by analysing business and risk logic, assessing GCP data landscape, defining data requirements and source-to-target mappings, producing engineering-ready specs, enabling engineering teams, and promoting reusable Consumer Data Products across use cases within an agile migration factory.

Lead design and governance of enterprise conceptual, logical, and physical data models for analytics, BI, data warehouses and operational systems. Define standards, metadata, lineage, and master/reference data models; architect cloud data platforms; collaborate with stakeholders, mentor teams, and optimize performance and data quality.

Senior client-facing consulting leader for Energy & Infrastructure who originates and leads AI- and data-enabled transformation engagements across UK/EMEA. Drives go-to-market, shapes solutions from discovery through delivery, leads multidisciplinary teams, owns P&L and pricing, and grows pipeline, revenue and margins while delivering measurable operational and commercial value for E&I clients.

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.