Snap Analytics
AI Consultant

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Why this role exists…
We’re preparing for an exciting stage of growth driven by upcoming projects with multiple key clients. While details of these projects are still being finalised, we know they will require strong AI talent. We are looking for people who can operate quickly, think independently, and build robust, production-ready solutions.
We’re proactively expanding our team with an AI Consultant who can help shape and deliver impactful work.
What you'll be doing...
You’ll play a central role in developing traditional AI and data science led solutions for real world problems. You’ll work closely with a small, lean, highly capable AI team, collaborating with data engineers, consultants, and technical leads to design and deliver meaningful outcomes for our clients.
Your responsibilities will include:
- Building and iterating on data science models to solve complex business challenges
- Exploring and proposing technical solutions, especially when documentation is limited or problems are not well defined
- Contributing clean, well structured code to shared repositories, following good coding and version control practices
- Collaborating with stakeholders and presenting insights clearly, ensuring technical outputs are understandable and actionable
In your first 3–6 months, success might look like:
- Demonstrating strong problem solving ability by independently navigating ambiguous or novel technical challenges
- Delivering high quality traditional AI or data science models that align with client needs
- Communicating confidently and clearly about your technical decisions, approach, and results in stakeholder discussions
- Becoming a trusted partner within a lean, fast moving team that relies heavily on autonomy and critical thinking
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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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.
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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.
What you'll need to succeed...
We’re looking for someone who brings a thoughtful mix of experience, curiosity, rigour, and communication strength.
You might be a great fit if you have:
- 2–5 years of relevant experience delivering technical solutions end-to-end
- A strong mathematics or quantitative background (essential for model development)
- Solid programming skills in Python, SQL and Snowflake (we are open on cloud platforms)
- Experience building traditional AI or data science models (e.g., forecasting, segmentation, classical ML techniques)
- Excellent communication skills with demonstrated experience explaining complex concepts clearly and confidently to technical and non-technical audiences
- A self-starter mentality, comfortable defining your own process and working in startup-like environments
Nice-to-have:
- Exposure to agentic or Gen AI systems
- Experience building neural networks, transformers, or LLM-based architectures
This role might not be the right fit if you’re looking for:
- A highly structured corporate environment with clearly defined processes (we’re lean, fast, and self-driven)
- A fully remote role - regular in-office collaboration in Bristol is required and highly valued by the team
- A position focused primarily on Gen AI; the emphasis here is on traditional, rigorous data science work with selective use of agentic AI
Why choose Snap?


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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!
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