Inference Group
Technical AI Business Analyst

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About Us
Inference Group is a team of engineers, consultants and innovators who believe artificial intelligence can fundamentally improve the way organisations work.
Our mission is to help businesses realise genuine value from data and AI - not just through prototypes, but by redesigning how work gets done and building solutions that operate reliably in the real world.
We help our clients transform processes, make better decisions and adopt new ways of working by combining applied AI, data, technology and practical consulting. As we grow, we’re looking for people who are naturally curious, hands-on and excited by the opportunity to solve complex business problems using emerging technology.
The Role
We’re looking for a Technical AI Business Analyst to join a major business transformation programme for a large UK organisation.
This is a hybrid role sitting at the intersection of business analysis, process transformation and applied AI. You’ll work with business teams to understand how work happens today, identify opportunities to simplify or redesign processes, and help translate those opportunities into practical AI-enabled solutions.
A key part of the role will be identifying where AI agents, automated workflows and generative AI can remove manual effort, improve decision-making or enable entirely new ways of working.
This isn’t a traditional Business Analyst role where you simply gather requirements and hand them over to a technical team. We’re looking for someone who is comfortable getting hands-on with AI tools, experimenting with solutions and building or configuring agents and workflows themselves.
You might be mapping a business process in the morning, running a requirements workshop with stakeholders in the afternoon and then prototyping an AI agent or automated workflow to test an idea.
You’ll work closely with consultants, AI engineers, data specialists and client teams to take opportunities from business problem through to solution design and delivery.
Location
London. Remote with travel to client sites as required
Start Date
Immediate / within 2–4 weeks
Eligibility
Must have the permanent right to work in the UK (no visa sponsorship)
What you’ll be doing
- Working with client stakeholders to understand existing processes, pain points, decision points and opportunities for improvement.
- Mapping and redesigning business processes as part of wider transformation programmes.
- Identifying opportunities where AI, automation or agentic solutions could improve how work gets done.
- Translating business needs into clear functional and technical requirements.
- Designing future-state processes that incorporate AI agents, automated workflows and human-in-the-loop decision-making.
- Prototyping and building AI agents and workflow automations using tools such as Gemini, Microsoft Copilot, Claude or similar platforms.
- Experimenting with agentic AI approaches including prompting, tool use, structured workflows and multi-step tasks.
- Working with Google Cloud-based data environments and collaborating with technical teams to understand how enterprise data can support AI solutions.
- Supporting the design of integrations between AI solutions, data sources and existing business systems.
- Running workshops and discovery sessions with business and technical stakeholders.
- Turning complex technical concepts into clear recommendations, process designs and client-facing documentation.
- Supporting solutions through testing, iteration and implementation rather than stopping at proof-of-concept stage.
- Working closely with AI engineers, data engineers and consultants to ensure solutions are practical, scalable and aligned to real business needs.
- Challenging assumptions, testing AI outputs and considering risks such as accuracy, controls, security and responsible AI.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What We’re Looking For
You don’t have to tick every box but ideally we’re looking for someone who combines strong business analysis skills with genuine curiosity and hands-on experience with AI. You’ll likely bring:
- Experience as a Business Analyst, Technical Business Analyst, Transformation Analyst, AI Analyst or similar role.
- Strong experience analysing, documenting and redesigning business processes.
- Confidence running discovery sessions, requirements workshops and stakeholder interviews.
- The ability to translate business problems into structured requirements and practical technology solutions.
- Hands-on experience building or configuring AI agents, automated workflows or generative AI solutions.
- Experience with one or more modern AI platforms such as Gemini, Claude, Microsoft Copilot, OpenAI or similar tools.
- An understanding of how agentic AI systems work, including prompts, tools, workflows, orchestration and human oversight.
- The confidence to prototype ideas yourself rather than relying entirely on engineering teams.
- Strong analytical and problem-solving skills.
- Excellent communication skills and the ability to work with both senior business stakeholders and technical teams.
- A pragmatic, delivery-focused mindset - you care about whether a solution actually works and creates value.
Useful Additional Experience


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We think that experience in any of the following would be valuable:
- Google Cloud Platform and Google’s AI ecosystem.
- Gemini or Vertex AI.
- Microsoft Copilot or Copilot Studio.
- Claude and Claude-based agent development.
- Workflow automation or orchestration tools.
- APIs and systems integration.
- Python, SQL or other light scripting.
- Process modelling and business process redesign.
- Enterprise-scale transformation programmes.
- AI governance, responsible AI or human-in-the-loop design.
- Consulting or working directly with enterprise clients.
The Kind of Person that will Thrive Here
You should be technically curious and comfortable building things. When you see an inefficient process, your instinct is to understand why it works that way, whether it should work that way, and whether AI could make it better.
You’re comfortable moving between business conversations and technology. You can engage senior stakeholders, structure an ambiguous problem, map a process and then open an AI tool and start experimenting.
Most importantly, you’re excited about what AI makes possible - but pragmatic enough to know that the technology only matters if it solves a genuine business problem.
Our Values are
We Geek Out Loud: we excel in our data and AI domain, using our expertise to deliver solutions that realise value. We share our wisdom and experience proudly, no egos, just pure tech passion.
We Act Boldly, and Collaborate Openly: we explore uncharted territories, working on the new to deliver operational solutions at scale. We don’t tread over old ground. We collaborate openly with full transparency, learning from each other as a community.
We are the Connectors: we bridge the gaps between business value, data engineering, data science and deployment. Working seamlessly as one unified team internally and externally to deliver working solutions for our clients.
We Empower our Customers: we equip our clients with the skills and knowledge to fully leverage, scale and deploy data and AI solutions. We prioritise delivering operational success over prototypes and proof of concepts to provide long term value. We build trust.
We Love our Work: we are proud of the work we do and take ownership of it. We work on the things we love and care about, we work with passion with people we respect.
We are Data Jedis: we work on hard problems and aim to deliver working solutions at scale. We don’t have time for politics, backbiting, gossiping, game playing or selfish behaviour. We work as one team with a mission to deliver and we will only achieve that together.
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