Capgemini Invent, Customer Analytics Sr. Consultant

Capgemini • New York, NY

1d

About The Position

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.Customer Analytics Senior ConsultantAs a Data Scientist within the Customer Analytics Advisory team at Capgemini Invent, you will play a pivotal role in helping clients transform and optimize their operations by leveraging insights from customer, commercial, and operational data. You will advise clients on the design, development, and deployment of advanced analytics and AI solutions that drive measurable business value.

Requirements

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related STEM field.
• Proven experience in customer analytics, commercial insights, or operational data science.
• Strong ability to translate complex data into actionable business insights and recommendations.
• Hands-on experience with data science tools and programming languages such as Python, SQL, R, or MATLAB.
• Familiarity with AI/ML techniques, data visualization tools, and cloud platforms.
• Experience in delivering analytics use cases in industries such as Consumer Products, Retail, Manufacturing, Life Sciences, or Energy & Utilities.
• Agile project delivery experience and understanding of consulting methodologies.
• Excellent communication and stakeholder management skills.
• Must have an awareness of how to Design, develop, and deploy AI-driven solutions to enhance decision-making, automate processes, and improve operational efficiency across the organization

Responsibilities

• Lead the definition and development of customer analytics and data science solutions.
• Advise clients on solution architecture, implementation strategies, and best practices.
• Conduct workshops to identify business pain points, define solution paths, and co-create innovative analytics strategies.
• Build and deploy machine learning models, customer segmentation algorithms, and predictive analytics solutions.
• Collaborate with cross-functional teams to integrate analytics into business processes and platforms.
• Ensure quality assurance, testing, and successful roll-out of analytics solutions.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees