Data Scientist Machine Learning Jobs in Boston, MA

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,inclusionand continuous learning. Across every level, curiosity unites us andchallenge 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 lek.com .

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 withinourData Science & Engineering team andoperatesat the intersection ofadvanced analytics, machinelearningandappliedAI,building themodels,applicationsand analytical productsthat 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 experiencebuilding 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 partnerwith 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 scienceand 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:
  • Supportend-to-end data science projectsfrom conceptualization through to deployment,and deploy advanced machine learning models in clients' cloud environments,optimizingfor 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, predictivemodelling, 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 datascience, 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 datascience, 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 directly when applicable
  • Uphold best-in-class standards in app development,software,data integrity, and ensuring solutions are both scalable and maintainable
  • Support commercialization andupskillingof staff on relevant software,toolsand techniques

• Degree in a quantitative and/or business discipline preferred, examplesinclude:Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics

• A minimum of2years of experience in applied data sciencewith a solid foundation in machine learning, statistical modeling, and analysisisrequiredfor a Data Scientist
• Strong knowledge,experience,and fluencyina wide variety of tools includingPythonwith data science and machine learning libraries (e.g.,scikit-learn, TensorFlow,PyTorch), Spark,SQL
• Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniquesincludingclassificationmodels,clusteringanalysis, time-series modeling, NLP; technical knowledge of optimization is a plus
• Expertisein developing and deploying machine learning models inone ofthecloud environments (AWS, Azure, GCP)with anunderstanding of cloud services, architecture, and scalable solutions. (e.g.,Sagemaker, Azure ML, Kubernetes, Airflow)
• Demonstrated experience withMLOpspractices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated andmaintainedin production environments
• Exposure todesign, develop anddeployagentic AI systems(e.g.,multi-agent orchestration, or automation workflows)using frameworks such asLangChain
• Hands-on experience withmanipulating andextracting information on a variety of largeboth structured and unstructured datasets; comfort withbestdata acquisition and warehousing practices
• Proficient Excel, PowerPoint presentation andexcellentcommunication skills, both written and oral

Stakeholderengagement

• Ability to understand and articulate requirements to technical and non-technical audiences, working alongside data science, engineering, and consulting teams
• Experience with commercial business analyticsandin strategic consulting is preferred; exposure to one or more of L.E.K.’s core sectors (life sciences, healthcare, consumer, industrials, TMT) is a strong plus
• Strong problem-solving skills with the ability to translate business needs into technical solutions; comfortable working at pace in a fast-paced, entrepreneurial environment with a high degree of ownership
• Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectuallycuriousand continuously driving towards excellence

• The expected base salary for this position is $110,000- $120,000annually. Actual compensation will bedeterminedbased on experience, qualifications, skills, and location. This position may also be eligible for discretionarybonusand a comprehensive benefits package.
• L.E.K. Consulting offers a competitive total rewards package including medical, dental, vision,lifeand disability insurance, 401(k) with employer contribution, HSA contributions (where applicable), paid time off, and other firm-sponsored benefits.
• This role is based in our Boston, Chicago, Los Angeles, New York, or San Franciscooffices and follows our hybrid work model for U.S. offices.We require employees to be in their assigned home office Tuesday, Wednesday, and Thursday each week, as well as the first Friday of each month.
• Applicants must be legally authorized to work in the United States on a permanent basis without the need for employer sponsorship. Unfortunately, we are unable to consider candidatesrequiringvisa sponsorship, including but not limited to H-1B, TN, F-1 (OPT/CPT/STEM), or other work authorization.
• L.E.K. Consulting is an Equal Opportunity Employer. We are committed toprovidingequal employment opportunities to all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age,disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
• In accordance withapplicable state and local laws, we will provide reasonableaccommodationsfor qualified individuals with disabilities and forsincerely heldreligious beliefs, practices, and observances.

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