Contract - Data Scientist

L.E.K. Consulting; New York (NY); Hybrid; Full time

Job summary

L.E.K. Consulting is seeking a Data Scientist to join its Data & Analytics team for a 3-month contract. This role involves leveraging machine learning and data analytics to solve complex client challenges while mentoring team members. A solid background in data science, along with expertise in developing and deploying analytical tools, is essential for success.

Qualifications

• Minimum 2 years experience in applied data science required.
• Strong knowledge of machine learning tools and techniques.
• Experience with data science in cloud environments is a plus.

Responsibilities

• Lead end-to-end data science projects, scalability, performance, and reliability focus.
• Support clients with technical models, interpreting results and actionable insights.
• Drive development of analytical apps leveraging latest machine learning algorithms.

Skills

Machine Learning

Statistical Modeling

Data Manipulation

Data Visualization

NLP

Education

Degree in a quantitative and/or business discipline

Tools

Python

SQL

TensorFlow

PyTorch

Spark

AWS

Azure

Job description

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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 www.lek.com.

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 www.lek.com.

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 in-depth technical training for specific types of analysis.

We are actively looking for a Data Scientist to join L.E.K.’s Data & Analytics team in a contract capacity for 3-months. 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.

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:

• Lead 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
• Mentor team members, contribute to technical capabilities of the team
  
  

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
• A minimum of 4 years of experience in applied data science with a solid foundation in machine learning, statistical modeling, and analysis is required for a Senior 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 https://www.lek.com/join-lek/apply/apply-now

• Applicants must be currently authorized to work in the United States on a full-time basis
• 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 New York, the hourly rate is between $45 - $60 (USD); placement within this range will vary based on experience and skill level.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Engineering and Information Technology

• Industries

  Business Consulting and Services

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