Hybrid AI Consultant

at Snap Analytics

• Job title: AI Consultant
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: £50,000 - £62,000 per year
• Degree requirement: Bachelor's Degree
• Tech skills: Python, SQL
• Location requirements: Hybrid, Bristol, United Kingdom

About the role

• AI Consultant in a small AI team delivering data-science solutions for real-world problems. Collaborating with clients and stakeholders to develop impactful models and technical solutions.

Responsibilities

• 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
• 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

Requirements

• 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

Benefits

• 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