Full-Time

Lippincott – Senior Consultant

Marketing Science

Updated on 5/12/2026

Marsh & McLennan

Marsh & McLennan

Compensation Overview

$105k - $130k/yr

+ Performance-based incentives

Company Does Not Provide H1B Sponsorship

New York, NY, USA

In Person

Category
Consulting (2)
,
Required Skills
Python
Quantitative Research
Data Science
R
Excel/Numbers/Sheets
Requirements
  • 3+ years of professional experience in marketing analytics and/or data science
  • Outstanding communications, writing and interpersonal skills
  • Ability to thrive in team situations
  • Experience employing statistical techniques such as regression modeling, conjoint modeling, and structural equation modeling
  • Analysis and synthesis of complex datasets using SPSS and Excel or statistical computer languages (Python, R)
Responsibilities
  • Manage the design, analysis, and synthesis of diverse data sources, including quantitative research, qualitative research, and client data warehouses, to help solve clients’ business challenges
  • Develop interview guides and surveys
  • Analyze historical customer behavioral and financial data
  • Generate designs for marketing sciences experiments (e.g., conjoint)
  • Leverage analytics tools (e.g., R, Python) and employ statistical techniques such as regression modeling, conjoint modeling, structural equation modeling, etc.
  • Synthesize and analyze data to discern insights that contribute to the team’s understanding of the relationships between customer perceptions, behavior, and lifetime value
  • Participate in the generation of creative hypotheses, with the goal of influencing and monetizing customer behavior
  • Infer implications for the client’s overall business, marketing, and brand strategies
  • Follow industry trends and related data/analytics processes and businesses, contributing ideas, actively participating in concept testing for new campaigns, customer experiences, or business innovations, and learning and adapting to cutting edge technologies in data analysis to drive efficiency
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Actively contribute to MCS initiatives by sharing ideas, preparing presentation materials for internal stakeholders, and product design/business case materials for internal leadership
  • Clearly communicate insights from data analysis to internal and external stakeholders through clear and engaging narratives
  • Support the management of quantitative and qualitative research projects from kick off to delivery
  • Manage time efficiently to monitor and execute project components, including the development of presentations, survey instruments and data analysis for multiple projects at a time
  • Collaborate closely with colleagues from other disciplines (e.g. Strategy, Design, Innovation) to ensure broad understanding of approaches and conclusions
  • Mentor cross functional team members, providing advice and coaching on advanced marketing science modeling techniques.
Desired Qualifications
  • Graduate degree in Statistics, Computer Science, Marketing, Economics, Mathematics or a related field is preferred

Company Size

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Total Funding

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Headquarters

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