Principal AI Consultant

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

Job summary

An established industry player is seeking a Principal AI Consultant to lead a groundbreaking AI initiative. This hybrid role blends strategic leadership with hands-on data science expertise, empowering you to shape the delivery of a transformative AI application. You will bridge the gap between business objectives and technical execution, ensuring impactful solutions that drive measurable outcomes. Join a collaborative team committed to continuous learning and innovation, and take your career to new heights while making a significant impact in the world of AI and analytics.

Benefits

Flexible Work

Continuous Learning Opportunities

Collaborative Team Environment

Qualifications

• 10 years of experience in project management and data science roles.
• Hands-on experience with Python, SQL, and data science techniques.
• Ability to translate business requirements into technical deliverables.

Responsibilities

• Lead end-to-end delivery of an AI product 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

Python

SQL

Statistical Methods

Machine Learning

Business Analysis

Communication Skills

Leadership Skills

Tools

Snowflake

AWS

Cloud Infrastructure

Job description

Principal AI Consultant

Application Deadline: 13 June 2025

Department: Delivery

Employment Type: Full Time

Location: Bristol, UK

Reporting To: Calvin Fuss

Compensation: £85,000 - £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.