Principal AI Consultant

Snap Analytics; Bristol; Hybrid; GBP 85,000 - 100,000; Full time

Job summary

Snap Analytics is seeking a Principal AI Consultant to join their AI & Advanced Analytics team. This hybrid role involves leading a new AI application project, requiring expertise in data science and project management to translate business objectives into actionable solutions. Successful candidates will collaborate across teams, be experienced in cloud technologies, and have a strong track record of delivering data-driven outcomes.

Benefits

Continuous learning opportunities

Flexible work arrangement

Collaboration with global team

Qualifications

• 10 years experience in project management and data science roles.
• Proven ability to lead end-to-end data/AI projects.
• Hands-on with Python, SQL and data science techniques.

Responsibilities

• Lead delivery of AI product built on enterprise cloud infrastructure.
• Translate business goals into technical execution plans.
• Design and deploy predictive models and data-driven solutions.

Skills

Project Management

Data Science

Communication

Leadership

Business Analysis

Cloud Computing

Tools

Python

SQL

Snowflake

AWS

Job description

Principal AI Consultant

Application Deadline: 31 July 2025

Department: AI & Advanced Analytics

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Calvin Fuss

Compensation: GBP 85,000 - GBP 100,000 / year

Description

We're looking for an experienced and business-savvy AI Consultant to join our AI & Advanced Analytics team at Snap Analytics. This is a hybrid role that blends strategic project leadership with deep data science expertise; ideal for someone who can translate business goals into technical execution while staying hands-on with analytics and modelling.

In this role, you'll lead the delivery of a greenfield AI application, built from the ground up. You'll shape the vision, define the roadmap, and guide technical teams while also applying your own analytical expertise to solve complex problems and influence business outcomes. If you have a strong project management foundation, a track record in data science, and a passion for bridging the gap between business and technology, this is your chance to make a significant impact.

What you'll be doing...
• Leading end-to-end delivery of an AI product built on enterprise cloud infrastructure

You'll manage all aspects of a brand-new AI application project - scoping, planning, budgeting, risk mitigation, stakeholder alignment, and reporting.
• Translating business goals into technical execution plans

You'll serve as a trusted bridge between non-technical business stakeholders and engineering teams, ensuring alignment on vision, scope, and constraints.
• Designing and deploying predictive models and data-driven solutions

From regression and forecasting to optimisation models, you'll apply statistical and machine learning methods to drive measurable business impact.
• Applying strong domain knowledge to shape problem framing and solution design

With your background in business analysis, you'll help define use cases, success metrics, and priorities that matter most to stakeholders.
• Communicating insights and technical progress to varied audiences

You'll lead conversations from sprint reviews to executive briefings, always ensuring your insights are relevant, understandable, and actionable.
• Collaborating cross-functionally across AI, data, DevOps, and product teams

You'll orchestrate smooth delivery, resolve blockers, and foster a shared understanding of business and technical objectives.
• Working in cloud-native environments with Snowflake and AWS

You'll operate confidently in an enterprise cloud stack, managing dependencies across services like S3, EC2, API Gateway, and Redshift.

What you'll need to succeed...
• Around 10 years of experience in combined project management and data science roles, ideally in enterprise or cloud environments.
• A proven ability to lead data/AI projects end-to-end, from ideation through deployment.
• Hands-on experience with Python, SQL, and applied data science techniques.
• Familiarity with Snowflake, AWS Cloud, and data architecture principles.
• The ability to translate business requirements into technical deliverables and vice versa.
• A background in or close collaboration with business analysis, helping turn analytics into action.
• Strong communication and leadership skills across technical and non-technical audiences.
• A delivery mindset, with a sharp eye for risk, quality, and long-term value.

So, what's in it for you?
• The opportunity to lead a greenfield AI initiative with real business impact.
• A unique hybrid role combining technical data science with strategic leadership.
• A collaborative, experienced team to support you every step of the way.
• Exposure to a modern cloud and AI stack across Snowflake, AWS, and beyond.
• A culture of continuous learning, autonomy, and results-driven thinking.
• Flexible work, with a distributed team across the UK, India, and South Africa.