AI & Data Science Manager / Senior Manager – London

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.

We’d love to meet someone with:

• 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.
• DevOps 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 areas of the data science lifecycle:

• Exploring the art of the possible with AI by combining domain knowledge and AI expertise to identify opportunities across industries and functions where AI can deliver value and by shaping AI/ML roadmaps, and ideation using use cases aligned with data science and business strategies.
• Accelerating impact with AI by enabling proof of value through prototypes and by translating complex AI concepts into practical solutions that democratise access and maximise business advantage for our clients.
• Scaling AI from lab to live by defining and implementing responsible AI design principles throughout the AI journey and establishing sustainable, resilient, and scalable AI/ML Ops architectures and platforms for integrating AI products and solutions into business processes for real‑time decision making.

To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.

At Capgemini we aren’t just talk about inclusion – we actively work to make it a working reality. We aim to build an environment where employees can enjoy a positive work‑life balance. We embed hybrid working in all that we do and make flexible working arrangements the day‑to‑day reality for our people. All UK employees are eligible to request flexible working arrangements. Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained ‘Mental Health Champions’ across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy. CSR: We’re also focused on using tech to have a positive social impact. We work to reduce our own carbon footprint and improve everyone’s access to a digital world. It’s something we’re really serious about. In fact, we were even named as one of the world’s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you’ll join a team that does the right thing. Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice. We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.