At a Glance
- Tasks: Lead innovative Data & AI programmes for top Financial Services clients.
- Company: Capgemini Invent, a leader in digital transformation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative hybrid work environment with bases in Manchester, London, or Glasgow.
- Why this job: Shape AI strategy and make a real impact in the financial sector.
- Qualifications: Experience in Data & AI, strong leadership, and strategic thinking skills.
The predicted salary is between 63000 - 77000 £ per year.
Capgemini Invent is hiring a Senior Manager to lead enterprise Data & AI programmes for Financial Services clients, blending strategy, data platforms, semantic architectures and agentic AI to deliver measurable business value.
You will own multi‑workstream engagements end to end, shape AI strategy and governance, mentor teams and collaborate with executive stakeholders in a hybrid UK environment with Manchester, London or Glasgow as bases.
Senior Data & AI Programme Lead for Financial Services in Manchester employer: Capgemini Invent
Capgemini Invent is an exceptional employer that champions a culture of learning, ownership, and innovation, making it an ideal place for Digital Trust Consultants to thrive. With access to extensive training opportunities, including certifications in cybersecurity and cloud technologies, employees are empowered to grow their skills while working on high-profile transformations. The company's commitment to diversity, flexible working arrangements, and employee wellbeing ensures a supportive environment where individuals can bring their whole selves to work, all while contributing to meaningful projects that have a positive social impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Programme Lead for Financial Services in Manchester
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We think you need these skills to ace Senior Data & AI Programme Lead for Financial Services in Manchester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Capgemini Invent, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Capgemini Invent. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Capgemini Invent
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
