Snap Analytics

AI Consultant

Snap Analytics

full-time

Posted on:

Location Type: Hybrid

Location: BristolUnited Kingdom

Visit company website

Explore more

AI Apply
Apply

Salary

💰 £50,000 - £62,000 per year

Tech Stack

About the role

  • 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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonSQLSnowflakedata-science modelsforecastingsegmentationclassical ML techniquesneural networkstransformersLLM-based architectures
Soft Skills
problem-solvingcommunicationautonomycritical thinkingcollaborationself-starter mentalitypresentation skillsadaptabilitystakeholder engagementtechnical decision-making