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Salary
≈ $81k – $149k per year (Estimated)
Location
Hybrid (London, United Kingdom)
Seniority
Staff · 8+ years exp

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 28, 2026. EXL scores B on the Alion truth index.

Overview
Company
Impact
Profile match

EXL

EXL, legally ExlService Holdings, is a data analytics, AI and digital operations company headquartered in New York that runs outsourced business processes and builds data and AI solutions for insurers, healthcare organisations, banks, media and retail companies. Founded in 1999 and listed on Nasdaq, it has more than 60,000 employees across six continents, with large delivery centers in Noida, Gurgaon, Pune, Bengaluru and Chennai and a newer AI hub in Dublin. It hires data scientists and data engineers, GenAI and MLOps engineers, analytics managers, solution consultants and client partners, plus talent acquisition, finance and medical coding staff.

EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth at speed. We harness the power of data, AI and deep industry knowledge to transform businesses, working with the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect.

Headquartered in New York, our team is over 63,000 strong, with more than 50 offices spanning six continents. For information, visitwww.exlservice.com . The Role will be responsible for leading the analytics engagement for our Utilities (Energy, Infra and Water) clients. We are looking for a high impact Analytics & Data Science leader to set the vision & strategy across business, customer, marketing & data analytics for client. This position requires proven track record of transforming processes, driving customer value, cost savings with experience in running end-to-end analytics for large-scale organizations.

  • Research, analyse, and present data as assigned.
  • Well versed with AI/ML algorithms and predictive analytics. Experience of GenAI + Data Engineering would be added advantage
  • Engage with CXO client suite of large-scale organisations
  • Experience of working on business collaterals, demo solutions, RFP/RFI (s), leading client visits etc.
  • Manage teams of at least 50+
  • Assist in learning and development of new team members
  • Manage delivery of multiple projects and critically examine from value perspective
  • Identify and participate in continuous improvement initiatives.
  • The candidate will be responsible to lead analytics & consulting assignments for a utilities client with an objective to grow multiple accounts
  • Leading & mentoring a team of 50+ senior analysts & consultants across marketing, business, customer and data analytics
  • You will engage with the client’s senior leadership to drive the vision and roadmap of Data, Analytic & Insights team
  • Ability to play and active role in contributing to the growth and future of the business vertical. Ability to interface and network with the leadership and key decisions makers
  • Leverage data to help the Data, Analytics & Insights teams to get deep critical insights around product performance, pricing strategies, marketing analytics and any other business/product goals
  • Establish credibility as a thought leader & a critical influencer of business strategy based on data modelling, AI/ML algorithms

Must to have

  • Modeling Experience (AI/ML). Handson experience of developing AI solutions/ frameworks
  • Client Engagement Experience especially with senior stakeholders
  • Consulting and analytics background
  • Team management (min 15)
  • Effective communication and thought leadership with proven record

Candidate Profile:

  • Bachelor’s/Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
  • 8-9+ years’ experience must in analytics
  • Strong and in-depth understanding of statistical concepts
  • Prior experience in managing and delivering on end to end projects
  • Outstanding written and verbal communication skills
  • Able to work in fast pace continuously evolving environment and ready to take up uphill challenges
  • Is able to understand cross cultural differences and can work with clients across the globe

As part of a leading global data and artificial intelligence ("AI") company, you can look forward to:

  • A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
  • EXL provides everyday financial well-being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories.
  • At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees can enhance their skills and stay up to date with the latest trends and technologies.
  • As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status.
  • EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP).
  • AtEXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration.

To be considered for this role, you must already be eligible to work in the United Kingdom.

Oversee organizational ETL. Lead highimpact initiatives. Ensure alignment with organizational goals. Provide executive guidance.

Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field. 8-12 years of experience in ETL or data management.

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