Innovation Analyst

Innovation Analyst at Capgemini

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Capgemini is seeking an Innovation Analyst to organize and manage varying innovative efforts that explore, design, and implement new technologies, processes, and solutions—such as AI, machine learning, and data-driven strategies—to transform traditional insurance practices and deliver measurable business impact in the insurance sector. Your work will support shaping next-gen AI solutions for global insurers. You will have the opportunity to work in an innovative culture surrounded by hackathons, idea incubators, partnerships with startups etc.

Responsibilities

• Conduct Emerging Technology Research with a focus on AI, Machine Learning, and Data Science trends in insurance.
• Develop Proof of Concepts leveraging advanced analytics and AI-driven solutions.
• Support Sales Enablement for innovation offerings, including AI/GenAI-based solutions.
• Engage with the External Ecosystem (partners, events, publications) to identify cutting-edge InsurTech and AI opportunities.
• Perform Strategic Business Analysis & Planning for technology-driven insurance transformation.
• Provide Hands-on Project Management for innovation projects.
• Create and deliver Impactful Presentations showcasing insights and innovation strategies.

Required Skills

• Bachelor’s Degree (preferably in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or related fields).
• Passion for technology and innovation, especially in AI and data-driven solutions.
• Basic understanding of the InsurTech industry and emerging technologies.
• Strong leadership and communication skills.
• Excellent time management and organizational abilities.
• Proficiency in Microsoft PowerPoint and Microsoft Excel.
• Must be open to relocation across the U.S. both now and in the future.

Nice To Have Skills

• 1–2 years of experience with data science and analytical tools (Python, R, SQL, etc.).
• Hands-on Project Management experience.
• Practical experience with AI/GenAI applications and frameworks.
• Familiarity with Machine Learning models and deployment.
• Software development abilities (Python, Java, or similar).

Compensation & Benefits

The base compensation range for this role in the posted location is: 60,000-70,000. 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 compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 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.

Key Skills/Competency

• AI and Machine Learning
• Data Science
• InsurTech Industry
• Project Management
• Strategic Business Analysis
• Sales Enablement
• Emerging Technologies
• Ecosystem Engagement
• Proof of Concept Development
• Presentation Skills