At a Glance
- Tasks: Develop AI solutions and tackle real-world problems with a dynamic team.
- Company: Join Snap Analytics, a high-growth data consultancy with a collaborative culture.
- Benefits: Fast progression, exposure to top clients, and a supportive environment.
- Why this job: Make a real impact in AI while working with cutting-edge technologies.
- Qualifications: 3-5 years of experience in technical solutions and strong programming skills.
- Other info: Regular in-office collaboration in Bristol; ideal for self-starters.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
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. 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
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
- 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.
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!
AI Consultant employer: Snap Analytics
Contact Detail:
Snap Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Get ready to showcase your skills! When you land that interview, be prepared with clear examples of your past work. Think about how your experience aligns with the role and be ready to discuss the impact you've made in previous positions.
✨Tip Number 2
Don’t just sit back and wait for the job to come to you. Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on an opportunity.
✨Tip Number 3
Practice makes perfect! Before your interview, run through common questions and prepare your answers. Focus on how you can communicate complex concepts clearly, as this is key for the AI Consultant role. We want to see your confidence shine!
✨Tip Number 4
Finally, don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team at Snap Analytics. Let’s make it happen!
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Show Us Your Impact: When you're writing your application, make sure to include clear examples of your work and the impact it had. We want to see how you've made a difference in your previous roles, so don't hold back on the details!
Tailor Your Experience: Align your experience with the role's focus. Highlight relevant projects and skills that match what we're looking for in an AI Consultant. This helps us see how you fit into our team and the exciting projects we have lined up.
Answer Thoughtfully: Take your time with any application questions. A thoughtful response shows us that you’re genuinely interested in the role and understand what it entails. It’s your chance to shine, so make it count!
Craft a Compelling Resume: Your resume should not only list what you've done but also explain why it mattered. We love seeing the 'how' and 'why' behind your achievements. And remember, if you think you might be a good fit, just apply through our website – we value potential as much as experience!
How to prepare for a job interview at Snap Analytics
✨Showcase Your Impact
When discussing your previous work, focus on clear, specific examples that highlight not just what you did, but why it mattered. Use metrics or outcomes to demonstrate the impact of your contributions, especially in AI or data science projects.
✨Prepare for Technical Questions
Brush up on your technical skills, particularly in Python, SQL, and traditional AI methods. Be ready to discuss your experience with building models and solving complex problems, as well as how you approach ambiguous challenges.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to convey your ideas effectively to both technical and non-technical stakeholders, so think about how you can make your insights understandable and actionable.
✨Emphasise Your Autonomy
Since the role requires a self-starter mentality, be prepared to share examples of how you've defined your own processes and worked independently in fast-paced environments. Highlight your ability to navigate ambiguity and deliver results without heavy oversight.