Capgemini Invent, Customer-Centric Data Analytics - Senior Consultant

About the Role

Key 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.

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.

Nice to Have

• Currently working in a consulting firm or in a data-driven role within industry.
• Experience with customer journey analytics, churn prediction, personalization, or marketing optimization.
• Knowledge of tools such as Tableau, Power BI, Databricks, or cloud ecosystems (AWS, Azure, GCP).
• Ability to thrive in a matrixed organization and collaborate across diverse teams.

Qualifications

• Educational background in Mathematics, Statistics, Computer Science, Engineering, or related STEM fields.

Benefits & Perks

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief