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EXL

Analyzes business data and runs outsourced operations

Analytics & AI Services Leader

Data ScienceConfirmed live in the last 24 hours
Full-timeLondon, UK

About the Job

Requirements

  • Bachelor's or Master's degree in economics, mathematics, computer science or engineering, operations research, or related analytics areas.
  • Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
  • At least 8–9 years of experience in analytics; a later statement also specifies 8–12 years of experience in ETL or data management.
  • Experience modeling with artificial intelligence and machine learning, including hands-on development of artificial intelligence solutions or frameworks.
  • Experience engaging with clients, especially senior stakeholders.
  • A consulting and analytics background.
  • Team management experience, with stated minima of 15 and 50+ team members in different parts of the posting.
  • Effective communication and thought leadership, with a proven record.
  • Strong, in-depth understanding of statistical concepts.
  • Prior experience managing and delivering end-to-end projects.
  • Ability to work in a fast-paced, continuously evolving environment and take on challenging work.
  • Ability to understand cross-cultural differences and work with clients globally.
  • Must already be eligible to work in the United Kingdom.

Responsibilities

  • Research, analyze, and present data as assigned.
  • Lead the analytics engagement for utility clients across energy, infrastructure, and water.
  • Set the vision and strategy for business, customer, marketing, and data analytics for clients.
  • Transform processes and drive customer value and cost savings through end-to-end analytics for large-scale organizations.
  • Engage with senior client stakeholders and executives of large-scale organizations.
  • Prepare business collateral and demonstration solutions, respond to requests for proposals and information, and lead client visits.
  • Manage and develop team members, including supporting their learning and development.
  • Manage delivery of multiple projects and examine them critically from a value perspective.
  • Identify and participate in continuous-improvement initiatives.
  • Lead analytics and consulting assignments for a utilities client with the objective of growing multiple accounts.
  • Lead and mentor senior analysts and consultants across marketing, business, customer, and data analytics.
  • Engage with client senior leadership to drive the vision and roadmap of the Data, Analytics & Insights team.
  • Contribute actively to the growth and future of the business vertical and interface with its leadership and key decision-makers.
  • Use data to develop insights into product performance, pricing strategies, marketing analytics, and other business or product goals.
  • Establish credibility as a thought leader and influence business strategy using data modeling and artificial intelligence and machine-learning algorithms.
  • Oversee organizational extract, transform, and load (ETL) work, lead high-impact initiatives, align work with organizational goals, and provide executive guidance.

Desired Qualifications

  • Experience with generative artificial intelligence and data engineering is an added advantage.

About the Company

EXL

Analyzes business data and runs outsourced operations

EXL analyzes business data and runs outsourced operations for insurers, healthcare payers, banks, retailers, and other large organizations. Its teams combine industry expertise with data engineering and AI to handle tasks such as claims processing, payment reviews, customer service, and finance within existing technology environments. The company also builds software, including LifePRO, which manages insurance policies, and EXLdata.ai, which connects fragmented data for use in AI systems. Clients pay for consulting projects, ongoing managed services, and software delivered through the cloud. EXL was founded in 1999 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1999

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