At a Glance
- Tasks: Help clients unlock value from data and AI by solving real business problems.
- Company: Join Capgemini Invent, a leader in AI consulting and transformation.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for personal growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- Qualifications: Passion for data and AI, with analytical and technical skills.
The predicted salary is between 81000 - 99000 £ per year.
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.
Join our AI Factory team and be part of the future of AI consulting. We are redefining how organisations adopt and scale AI, moving beyond experimentation to embedding agentic systems, human-AI workflows and data products into every aspect of how they operate, compete, and create value.
As a Consultant / Senior Consultant within our AI Factory team, you will help clients unlock measurable value from data and AI by translating business challenges into practical solutions that improve performance, accelerate growth, increase operational effectiveness and enable innovation with confidence, whilst contributing to the growth of our AI Factory practice.
YOUR ROLE
This role is perfect for someone who enjoys solving real business problems and turning emerging data and AI technologies into practical solutions. You will work alongside experienced consultants, client stakeholders and technical specialists to design and deliver solutions that augment human judgement, improve decision-making and transform business processes - from improving customer service outcomes and optimising supply chains, to enabling smarter marketing decisions.
You will help clients identify and deliver high-value opportunities where data and AI can solve real business problems and deliver measurable outcomes. Work with client stakeholders to understand business challenges and user needs, translating these into practical data and AI use cases, products and solutions. Support the prioritisation and delivery of AI use cases based on business value, feasibility and user needs, applying modern data and AI technologies to develop solutions such as Generative AI, Agentic AI, intelligent automation and advanced analytics. Help measure and demonstrate the impact of data and AI solutions through adoption, performance and business outcome metrics, supporting clients in moving from experimentation towards practical adoption.
You will help design solutions around the needs of users and the way organisations operate. Design and develop user-centric AI products, copilots, intelligent assistants and agentic workflows that meet user and business needs, working across cloud and data platforms including Azure, AWS and GCP. Understand how AI can be embedded into business processes, customer journeys and decision-making, working collaboratively with business, product, design and engineering teams to deliver practical solutions. Support deployment, adoption and change by translating complex technical concepts into clear recommendations and practical experiences for business users, while contributing to iterative and Agile delivery.
You will help build trusted data and technology foundations that enable AI solutions to be deployed safely and at scale. Develop and work with AI-ready data platforms, data products and analytical solutions, ensuring data is accessible, fit for purpose and ready to support AI use cases. Support data quality, governance and the application of Responsible AI, security, privacy and compliance principles throughout delivery. Contribute to scalable data and AI architectures and support the delivery of reliable, observable and maintainable solutions, taking ownership of defined deliverables and workstreams within multidisciplinary teams.
As part of your role you will be able 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 demanded within the company, accreditations, certifications etc.
YOUR PROFILE
We are looking for individuals who combine analytical and technical capability, consulting skills and a passion for using data and AI to solve real business problems. We don't expect you to have every skill below. We value diverse backgrounds, perspectives and experiences, and are interested in people who demonstrate curiosity, a willingness to learn and the ability to apply technology to practical challenges.
Data & AI Transformation Experience: Experience in data, analytics, AI or digital transformation through consulting, technology, engineering, academia or industry. Ability to translate business challenges and user needs into practical data and AI solutions. Experience working in Agile or iterative delivery teams, with an understanding of product development principles including requirements, prioritisation, backlogs and iterative delivery. Interest in how Generative AI, Agentic AI and automation can transform business processes and decision-making.
Data, AI & Intelligent Systems Expertise: Experience or strong interest in one or more of the following: Generative AI, LLMs, Retrieval Augmented Generation (RAG) and AI applications; Agentic AI, AI agents, intelligent assistants and AI-enabled automation; Prompt engineering, AI evaluation and Responsible AI; AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP); Data engineering, pipelines, modelling and governance; Advanced analytics, machine learning and statistical modelling; Data visualisation and insight solutions. Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious about how AI can be embedded into business processes and decision-making.
Technical Skills: Hands-on experience in one or more of the following areas: Programming & Analytics - Python, SQL, R, Spark, machine learning and advanced analytics; Cloud & Data Platforms - Microsoft Fabric, Databricks, Snowflake, Azure, AWS and GCP; AI Technologies - GenAI frameworks, Agentic AI, vector databases, semantic search, knowledge retrieval and LLM application development; Data & Visualisation - Power BI, Tableau, Looker and other business intelligence tools.
Consulting, Communication & Leadership: Ability to work effectively with both business and technical stakeholders. Strong communication, problem-solving and storytelling skills, with the ability to explain technical concepts to non-technical audiences. Ownership of the quality and timely delivery of your work. Collaborative, inclusive and adaptable working style. Curiosity and enthusiasm for learning new technologies and ways of working. For Senior Consultant candidates, ownership of larger workstreams, support for junior colleagues and contribution to client or business development are desirable.
We know great candidates may not meet every requirement. If you are excited by the role and believe you can contribute, we encourage you to apply.
Additional Information
The role offers the opportunity to work on leading-edge AI and analytics programmes in a collaborative consulting environment. Candidates must be eligible for SC Security Clearance and should be willing to travel as required by client engagements. Capgemini also offers hybrid working, flexible working arrangements and a strong focus on employee wellbeing, inclusion and professional development.
WHAT YOU'LL LOVE ABOUT WORKING HERE?
As a Consultant / Senior Consultant, you will have the opportunity to work at the forefront of AI and analytics innovation, contributing to cutting-edge projects that shape industries, while advancing your own career in a collaborative and inspiring environment.
NEED TO KNOW
At Capgemini we don’t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring your whole self to work. 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 as 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. Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government's Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who declare they have a disability and meet the minimum essential criteria for the role. Please opt in during the application process.
CSR: We're also focused on using tech to have a positive social impact. So, we're working 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 on grade and on company and personal performance.
ABOUT CAPGEMINI
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations.
Consultant - Enterprise Data & Analytics - AI Factory - London employer: Capgemini
Capgemini is an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of London. With a hybrid working model, employees enjoy the flexibility of blending office, client site, and home working, while also benefiting from extensive growth opportunities and professional development within the Capital Markets sector. Join us to be part of a team that values governance excellence and empowers you to make a meaningful impact in complex programme environments.
StudySmarter Expert Advice🤫
We think this is how you could land Consultant - Enterprise Data & Analytics - AI Factory - London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Capgemini!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Consultant - Enterprise Data & Analytics - AI Factory - London at Capgemini.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Capgemini.
✨Apply Directly through Our Website
When you find a suitable opening like Consultant - Enterprise Data & Analytics - AI Factory - London at Capgemini, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Consultant - Enterprise Data & Analytics - AI Factory - London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Capgemini, 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. 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
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Capgemini!
✨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.
