Snap Analytics
Senior AI Consultant

How your CV stacks up
Upload your CV to see how well it fits this job role
?%
A few application tips…
We want to help you put your best foot forward. Here are a few things we look for:
- Clear, specific examples of your leadership, client impact and technical delivery
- Relevant experience aligned with the seniority, consultancy focus and technical scope of the role
- A thoughtful response to any application questions
- A CV that highlights both what you did and why it mattered
If you are unsure whether your background is the “perfect fit,” we still encourage you to apply. We value potential and growth, alongside proven experience.
Why this role exists…
We are preparing for growth driven by upcoming projects with multiple key clients. While details are still being finalised, we know they will require senior AI talent with depth across traditional machine learning, data science and Gen AI. We are looking for someone who can operate quickly, lead confidently and build robust, production-ready solutions.
We are proactively expanding our team with a Senior AI Consultant who can shape complex work, guide delivery teams and act as a trusted adviser to clients.
What you'll be doing...
You will shape and deliver AI solutions for real-world business problems, spanning traditional machine learning, rigorous data science and practical Gen AI use cases. You will work with a small, highly capable AI team, collaborating with data engineers, consultants, technical leads and senior client stakeholders to deliver meaningful outcomes.
Your responsibilities will include:
- Leading the design, build and iteration of machine learning and data science models to solve complex business challenges
- Identifying and shaping Gen AI opportunities, including LLM-based workflows, agentic systems and applied AI prototypes where they add measurable value
- Providing technical direction, code quality oversight and delivery guidance across shared repositories and client-facing work
- Managing client stakeholders, presenting recommendations clearly and translating technical outputs into practical decisions and actions
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.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
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.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
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.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
In your first 3 to 6 months, success might look like:
- Taking ownership of ambiguous or novel technical challenges and setting a clear delivery approach for the team
- Delivering high-quality traditional ML, data science and Gen AI solutions that align with client needs
- Communicating confidently with senior stakeholders about technical decisions, trade-offs, risks and results
- Becoming a trusted partner to clients and colleagues within a lean, fast-moving team that relies on autonomy, judgement and critical thinking
What you'll need to succeed...
We are looking for someone who brings a thoughtful mix of senior technical expertise, consultancy experience, client leadership, team management, rigour and communication strength.
You might be a great fit if you have:
- 5+ years of relevant experience delivering AI, ML or data science solutions end-to-end, ideally in a consulting environment
- Strong expertise in traditional machine learning and data science, including forecasting, segmentation, optimisation, classification or similar techniques
- Strong practical experience with Gen AI, including LLMs, RAG, agentic workflows, prompt evaluation, model selection or production implementation
- At least 3 years’ experience managing client relationships and leading, mentoring or managing a technical team
- A strong mathematics or quantitative background, with solid programming skills in Python, SQL and Snowflake
- Excellent communication skills, with the ability to explain complex concepts clearly and confidently to technical, non-technical and senior client audiences
Nice-to-have:
- Experience shaping proposals, statements of work, roadmaps or discovery phases within a consultancy setting
- Experience building neural networks, transformers, LLM-based architectures or production AI platforms
This role might not be the right fit if you’re looking for:


Get help with your application
Your very own career expert that helps elevate your application to the next level.
- A highly structured corporate environment with clearly defined processes, as we are lean, fast and self-driven
- A fully remote role - regular in-office collaboration in Bristol is required and highly valued by the team
- A role focused only on Gen AI; this position requires strong capability across both traditional machine learning and Gen AI
Why choose Snap?
Joining Snap means joining a team of brilliant data people who genuinely care about their craft and each other.
You’ll get:
- A steep learning curve and therefore fast progression opportunities
- Exposure to world-class clients and cutting-edge data technologies
- The chance to become a named resource that clients request directly
- Variety - projects, industries, tech stacks, and real room to make an impact
- A supportive, collaborative environment where strong contributors thrive
If this sounds like the next step you’re ready for, we’d love to hear from you.
About Snap Analytics
We're a high-growth data analytics consultancy on a mission to help enterprise businesses unlock the full potential of their data. With offices in the UK, India, and South Africa, we specialise in cutting-edge cloud analytics solutions, transforming complex data challenges into actionable business insights.
We partner with some of the biggest brands worldwide to modernise their data platforms, enabling smarter decision-making through Snowflake, Databricks, Matillion, and other cloud technologies. Our approach is customer-first, innovation-driven, and results-focused, delivering impactful solutions with speed and precision.
At Snap, we’re not just consultants, we’re problem-solvers, engineers, and strategists who thrive on tackling complex data challenges. Our culture is built on collaboration, continuous learning, and pushing boundaries, ensuring our people grow just as fast as our business.
Join us and be part of a team that’s shaping the future of data analytics!
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills