AI & Data Science Manager/Senior Manager
Listed on 2026-01-15
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IT/Tech
AI Engineer, Data Science Manager
AI & Data Science Manager / Senior Manager
6 days ago Be among the first 25 applicants
OverviewCAPGEMINI INVENT
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.
In a world of globalisation and constant innovation organisations are creating, consuming, and transforming unprecedented volumes of data. We work alongside our clients to extract and leverage key insights driven by our Data Science and Analytics expertise and capabilities. It’s an exciting time to join our Data Science Team as we grow together to keep up with client demand and launch offerings to the market.
In your role, you will partner with our clients to deliver outcomes through the application of cutting‑edge data science methods.
In this position you will play a key part in:
- Lead delivery of Agentic & Generative AI, Data Science, and Analytics projects, ensuring client expectations are met at every stage.
- Inspire clients by demonstrating the transformative potential of Agentic & Gen AI and data science to unlock business value.
- Design and implement scalable AI solutions in collaboration with architecture and platform teams.
- Mentor and develop data science consultants, championing technical excellence and delivery standards.
- Drive business growth by contributing to proposals, pitches, and strategic direction alongside leading client delivery.
As part of your role you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:
- Business Development – Leading/contributing to proposals, RFPs, bids, proposition development, client pitch contribution, client hosting at events.
- Internal contribution – Campaign development, internal think‑tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development.
- Learning & development – Training to support your career development and the skills demand within the company, certifications etc.
- Proven experience leading complex data science, Agentic & Generative AI, and analytics projects, delivering value across the ML lifecycle using strong foundations in statistical modelling, natural language processing, time-series analysis, spatial analytics, and mathematical modelling methodologies.
- Experience managing the delivery of AI/Data Science projects, gained through roles in either a consulting firm or industry, leading end-to-end client engagements.
- A growth mindset with strong collaboration, communication, and analytical skills, able to build and maintain stakeholder relationships and influence effectively within a matrixed consulting environment.
- The ability to apply domain expertise and AI/ML innovation to solve client challenges, and present clear, compelling insights to diverse audiences.
- A proactive approach to business growth – identifying opportunities, contributing to proposals and pitches, fostering client trust, and supporting others’ professional development within the organisation.
Working knowledge in one or more of the following areas:
- Cloud data platforms such as Google Cloud, AWS, Azure, and Databricks.
- Programming languages such as Python, R, or PySpark.
- Agentic & Generative AI platforms such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI.
- Dev Ops and MLOps principles for production AI deployments.
Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business and data challenges to unlock tangible business value by delivering intelligent data products and solutions through rapid innovation leveraging AI. We strive to be acknowledged as innovative and industry leading data science professionals and seek to achieve this by focusing on three area of the data…
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