Invent, Customer Analytics Sr. Consultant

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.

As 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.

Client Advisory & Solution Design

• 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.

Technical Implementation

• 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.

• 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

Empowerment: At Capgemini Invent, we:

• Lead the change and take initiative
• Find the work‑life balance that suits us
• Craft or own path through learning and career development programs

Energy: At Capgemini Invent, we:

• Connect as a global community of 13,000+ colleagues worldwide
• Celebrate our diverse perspectives and draw from strength from our differences
• Have fun by providing a range of clubs, events and get togethers to celebrate our wins and successes

Experiences: At Capgemini Invent, we:

• Work internally and with clients to make a difference
• Push boundaries to reimagine what’s possible
• Work to build a more sustainable and inclusive future

The base compensation range for this role in the posted location is: $112,600 - $212,700

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted…