Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Digital Consultant

Capita
London
1 year ago
Applications closed

Related Jobs

View all jobs

Data Scientist, Senior Consultant, Digital Innovation

Senior Consultant Data Scientist

Senior Consultant Data Scientist

Senior Data Science Consultant

Principal Data Science Consultant - Gen AI Specialist

Principal Data Science Consultant - Gen AI Specialist

Home based role.Help strengthen our Team as our Senior Digital Consultant.  Home based role. strong> p>

Join Capita's Digital Consulting team and be part of our journey. As a frontrunner in AI innovation within the private and public sectors, we are embarking on new and exciting projects to solidify our position as a leading AI provider. p>

This home-based role presents an exceptional opportunity for talented individuals to work on meaningful projects that have a direct impact on our clients and contribute to the betterment of society through the power of AI. p>

What You'll Be Doing: strong> p>

-Work with internal and external stakeholders to define, prioritise, and rank business problems and AI solutions  p>

-Analyse and validate product/ solution ideas, taking into account desirability, viability, and feasibility, and recommend next steps  p>

-Manage the product/ solution development process from ideation to development and launch  p>

-Drive cross-functional alignment and consensus on product/ solution priorities  p>

-Collaborate with engineering, design, and other stakeholders to prioritise roadmap items  p>

-Help stakeholders productionise results of AI solutions  p>

-Drive discoveries of new product ideas  p>

-Produce AI solution design documentation  p>

-Test and iterate products based on feedback from users; design and conduct A/ B testing  p>

-Contribute to developing a Capita-wide AI delivery strategies and product management framework  p>

What we're looking for: strong> p>

-Demonstrable experience as a product manager/ consultant and/ or business analyst, developing AI products and solutions from inception to productisation in an enterprise setting  p>

-Experience working as part of a multidisciplinary, agile team to deliver user-centered AI applications  p>

-Proven experience in shaping or contributing to your company's AI strategies  p>

-Practical knowledge of MLOps, with demonstrable success in scaling AI or data products  p>

-Strong technical knowledge and understanding of key AI domains, with a focus on GenAI technologies  p>

-Knowledge of regulatory and ethical considerations in AI  p>

-Demonstrable commitment to learning about AI through your own initiatives, such as courses, books, or side projects  p>

-Substantial experience in at least two of the following domains:   p>

-product management or delivery management  p>

-business analysis, or / and   p>

-business development or consultancy in relation to AI solutions  p>

-Superior communication and stakeholder management skills, with demonstrable experience of influencing, interacting with, and presenting to senior stakeholders  p>

-Big picture thinker with a consulting mindset and commercial awareness  p>

-Pro-active attitude and great team working skills  p>

-Outcomes-oriented, with the ability to demonstrate influence and vision  p>

-Eligibility for SC Clearance  p>

Preferred additional skills/ experience but not essential: strong> p>

-Experience in Azure / GCP / AWS tooling  p>

-Knowledge of machine learning algorithms and techniques    p>

-Consultancy experience   p>

About Capita Technology and Software Solutions (TSS) strong> p>

Capita Technology and Software Solutions (TSS) is a newly formed global shared service, responsible for delivering innovation and digital transformation for Capita's businesses and clients. Capita Software is responsible for driving seamless innovation, design, delivery, and support of software for clients, through partnering with Capita divisions and direct customer contact. p>

What's in it for you? strong> p>

-Opportunity to learn new skills and progress your career. p>

-The opportunity to take a paid day out of the office, volunteering for our charity partners or a cause of your choice p>

-Access to our Employee Network Groups, which represent every strand of diversity and allow colleagues to connect and learn from each other on an open, inclusive platform p>

-Company matched pension, a cycle2work scheme, 15 weeks' fully paid maternity, adoption and shared parental leave and plenty more p>

You'll get the chance to follow your chosen career path anywhere in Capita. You'll be joining a network of experienced, innovative and dedicated individuals across multiple disciplines and sectors. There are countless op p>

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.