AI Consultant

AI Consultant

Department: AI & Advanced Analytics

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Calvin Fuss

Compensation: £50,000 - £62,000 / year

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 work and impact
• Relevant experience aligned with the role’s focus
• A thoughtful response to any application questions
• A resume that highlights both what you did and why it mattered

If you’re unsure whether your background is the “perfect fit,” we still encourage you to apply. We value potential and growth just as much as experience.

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.

Working in a small, lean, highly capable AI team you’ll play a central role in developing traditional AI and data‑science‑led solutions for real‑world problems.

• 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

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:

• 3–5 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
• 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

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.