Location
Boston, Chicago, Houston, Los Angeles, New York, San Francisco
Job Description
About L.E.K. Consulting:
L.E.K. Consulting is a global management consulting firm that uses deep industry expertise and rigorous analysis to help business leaders achieve practical results with real impact. We are uncompromising in our approach to helping clients consistently make better decisions, deliver improved business performance and generate greater shareholder returns. The firm advises and supports global companies that are leaders in their industries — including the largest private and public sector organizations, private equity firms and emerging entrepreneurial businesses. Founded more than 35 years ago, L.E.K. employs more than 2,200 professionals across the Americas, Asia-Pacific and Europe. For more information, go to .
Overview Of The Data & Analytics Team
L.E.K.'s Data & Analytics function is focused on creating and deploying best-in-class capabilities to drive business results for our clients. The team is comprised of data scientists, data engineers, technical business analytics consultants, and product managers who work together to solve some of the most challenging business problems our clients have. We drive the full analytics life cycle on client engagements: scoping and understanding business challenges, developing and maintaining robust data assets, creating and running innovative analytical techniques, generating compelling visualizations to communicate the findings / recommendations. We build, develop, and maintain innovative tools and applications for use across projects and for specific clients. We coach, mentor and train colleagues from across the business, on everything from what types of commercial problems analytical techniques can help solve to in-depth technical training for specific types of analysis.
We are actively looking for a Data Scientist to join L.E.K.’s rapidly growing Data & Analytics team. The primary focus of this role is to provide technical expertise: helping to execute on complex analytics across a wide variety of often fast-paced client engagements, helping to build innovative tools and applications that can help solve client’s commercial issues, helping to execute cutting edge analytical techniques, helping to drive technical roadmaps for the function and firm, and training our colleagues.
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 receive state-of-the-art training in a variety of domains and lead the organization to adopting new and innovative methods to solve our clients’ hardest questions. You won’t just be a technical expert: you will intersect between data science, and commercial business understanding, across a variety of domains to provide analytically driven recommendations to our clients.
Data & Analytics is one of four key pillars to the Solutions Team at L.E.K. Consulting, alongside Market Insights, Information & Research Center and Knowledge Management. The Solutions team works together to support and enable our consulting team members to generate best in class insights for our clients.
Responsibilities
Client engagements:
- Support end-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 strategically leveraging technical 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, sometimes dynamically balancing multiple client engagements at one time
- Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.), and visualizations
- Help drive the technical roadmap needed to support client engagements
Analytical Apps, Service Lines, And Proprietary Data Assets
- Drive the development of state-of-the-art analytical apps, leveraging up-to-date in machine learning algorithms to solve complex problems
- Collaborate with a variety of stakeholders to continuously innovate on the apps, service lines and proprietary data assets we can offer
- Provide technical expertise and 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, data integrity, and ensuring solutions are both scalable and maintainable
Client / Business Development
- When relevant, support Managing Directors in developing and delivering client proposals where advanced data and analytics are critical to the scope of work
- Provide input into training / upskilling the D&A team provides to Managing Directors to ensure they are aware of all of our most current capabilities
Capability Development
- Stay up to date on best-in-class software, tools, and techniques to ensure that we are able to provide clients with best-in-class solutions
- Support commercialization and upskilling of staff on relevant software, tools and techniques
- Help drive the technical roadmap to ensure we are operating a best-in-class Data & Analytics function
Qualifications And Experience
- Degree in a quantitative and/or business discipline preferred, examples include: Statistics, Computer Science, Data Science, Mathematics, Operations Research, Engineering, Economics
- A minimum of 2 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Data Scientist
- Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred
- Technical understanding of machine learning algorithms; experience with deriving insights by performing data science techniques including classification models, clustering analysis, time-series modeling, NLP; technical knowledge of optimization is a plus
- Expertise in developing and deploying machine learning models in cloud environments (AWS, Azure, GCP) with a deep understanding of cloud services, architecture, and scalable solutions. (e.g., Sagemaker, Azure ML, Kubernetes, Airflow)
- Demonstrated experience with MLOps practices, including continuous integration and delivery (CI/CD) for ML, model versioning, monitoring, and performance tracking to ensure models are efficiently updated and maintained in production environments
- Hands-on experience with manipulating and extracting information on a variety of large both structured and unstructured datasets; comfort with best data acquisition and warehousing practices
- Experience with commercial business analytics; experience at a consulting firm / agency is a plus
- Proficient Excel, PowerPoint presentation and excellent communication skills, both written and oral; ability to explain complex algorithms to business stakeholders
- Ability to achieve results through others; experience and proven success record working in matrix, agile and fast-growing environments; and assertive, intellectually curious and continuously driving towards excellence.
For more information and to apply, go to
- L.E.K. Consulting is an Equal Opportunity Employer
- L.E.K. Consulting has a hybrid work model in place for our U.S. offices.
- In California, Illinois, and New York the base salary is between $85,000 - $120,000 (USD); placement within this range will vary based on experience and skill level. L.E.K. also offers a performance bonus, profit sharing and other benefits.
- In other locations, competitive pay is commensurate with the role and geography.
- Applicants for this position 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 candidates requiring sponsorship for visas, including but not limited to TN, H1-B, F-1, STEM OPT/CPT, or any other work authorization.
