Data Scientist

Job Description

About L.E.K. Consulting:
L.E.K. Consulting is a premier global strategy consulting firm that partners with clients to solve their most critical business challenges and deliver high-impact outcomes. We bring deep industryexpertiseand rigorous, evidence-based insight to global corporations, growthcompaniesand private equity investors, helping them turn strategy into action.

How do we deliver impact?

It’sthe people. We hire exceptional individuals and invest in their growth through hands-on client work, close collaboration and a culture of ownership,inclusion and continuous learning. Across every level, curiosity unites us and challenge excitesus.

Founded more than 40 years ago, L.E.K. employs more than 2,200 professionals worldwide and is consistently recognized as one of the industry's best firms to work for. For more information, visit .

Overview ofRole:

We are actively looking for a Data Scientist to join L.E.K.’s rapidly growing D DA(Data, Digital, and AI) practice.

This role sits withinour

Data Science & Engineering team andoperatesat the intersection of advanced analytics, machinelearningandappliedAI,building themodels,applications and analytical products that power client engagements and L.E.K.'s proprietaryIP.

The ideal candidate brings fluency inapplieddatascience(e.g.,model developmentandvalidation, experimentation, anddeploymentof models) alongside hands-on experience building and shipping LLM-based and agentic AI solutions.

You will work directly with clients across multiple industries, translating complex technical work into measurable commercial outcomes,and partner with data scientists, strategyconsultantsand client teams to build solutions that create high client impact.

As part of a dynamic and growing team, there is every opportunity to carve out value added work, and to grow your skills and experience. You won’t just be a technical expert ;y ou willwork at the intersection ofdata science and commercial understanding,acrossarangeof domains,todeliveranalytically drivenrecommendations to our clients, with state-of-the-art training and the opportunity to shape how the firm adopts new methods.

• Client engagements:
  • Sup portend-to-end data science projects from conceptualization through to deployment,and deploy advanced machine learning models in clients' cloud environments,optimizing for scalability, performance, and reliability to address specific business challenges and objectives
  • Support clients in strategicallyleveragingtechnical models, guiding them through the interpretation of results and the integration of actionable insights into their business workflows.
  • Solve a wide variety of complex analytical challenges for clients,sometimesdynamically balancing multiple client engagements at one time
  • Deliver across the full analytical stack: data aggregation and creation, cleaning and manipulation, commercial data science (geospatial, machine learning, predictive modelling, NLP,LLMs) and visualization
  • Guide clients through the interpretation of analytical outputs and integration of data-driven insights into their business workflows
• Client / business development:
  • Support Managing Directors in developing and scoping client proposals where data science, MLand AI capabilities are central to delivery
  • Serve as the technical interface between the Data Science & Engineering team, consulting partners, and clients while ensuring alignment onfit, feasibility, and delivery expectations
  • Translate technical requirements, outputs, and constraints into clear, actionable language for client-facing presentations and proposals
  • Support the design and commercialization of new offerings across data science, ML, agentic AI, and LLM-powered analytics
• Capability development:
  • Contribute tothe development ofstate-of-the-artanalytical apps, leveragingup-to-datein machine learning algorithms to solve complex problems
  • Collaborate with a variety of stakeholders to continuously innovate on the apps, servicelinesand proprietary data assets we can offer
  • Provide technicalexpertiseand thought leadership on developing analytical tools, services lines, and proprietary data assets, and contribute to building these areas…