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- Tasks: Lead AI projects, translating business goals into technical solutions while managing stakeholders.
- Company: Snap Analytics is a fast-growing consultancy focused on unlocking data potential through cloud solutions.
- Benefits: Enjoy a hybrid role, flexible working arrangements, and exposure to cutting-edge AI technologies.
- Why this job: Join a collaborative team that values innovation and offers real impact in the AI space.
- Qualifications: 10 years of experience in project management and data science, with skills in Python and SQL.
- Other info: Work across diverse locations including the UK, India, and South Africa.
The predicted salary is between 54000 - 84000 £ per year.
We’re seeking an experienced AI Consultant to join our AI & Advanced Analytics team. This hybrid role combines strategic project leadership with deep data science expertise, ideal for translating business goals into technical solutions while remaining hands-on with analytics and modeling.
Role Responsibilities:
- Lead end-to-end delivery of a new AI application, including scoping, planning, and stakeholder management.
- Translate business objectives into technical plans and deploy predictive models to drive business impact.
- Communicate insights effectively to technical and non-technical audiences.
- Collaborate with cross-functional teams across AI, data, DevOps, and product domains.
- Operate in cloud environments using Snowflake and AWS services.
Qualifications:
- Approximately 10 years of experience in project management and data science roles, preferably in enterprise/cloud settings.
- Proficiency in Python, SQL, and data science techniques.
- Experience with Snowflake, AWS, and data architecture principles.
- Strong communication and leadership skills.
- Ability to convert business needs into technical solutions.
Benefits:
- Lead a strategic AI initiative with tangible business impact.
- Hybrid role blending technical and leadership responsibilities.
- Supportive, experienced team environment.
- Exposure to modern cloud and AI technologies.
- Flexible working arrangements across the UK, India, and South Africa.
About Snap Analytics: We are a high-growth data analytics consultancy helping enterprises unlock their data potential through cloud solutions like Snowflake, Databricks, and Matillion. Our culture emphasizes collaboration, innovation, and continuous learning.
Principal AI Consultant employer: Snap Analytics
Contact Detail:
Snap Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal AI Consultant
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data science, especially those relevant to cloud environments like Snowflake and AWS. This knowledge will not only help you during interviews but also demonstrate your commitment to staying updated in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the AI and analytics space, particularly those who work at Snap Analytics or similar companies. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully led AI initiatives or data science projects. Be ready to explain your role, the challenges faced, and how you translated business needs into technical solutions, as this aligns closely with the responsibilities of the Principal AI Consultant role.
✨Tip Number 4
Practice your communication skills, especially in conveying complex technical concepts to non-technical stakeholders. This is crucial for the role, so consider mock interviews or discussions with friends to refine your ability to articulate insights clearly and effectively.
We think you need these skills to ace Principal AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in project management and data science, particularly in enterprise or cloud settings. Emphasise your proficiency in Python, SQL, and any relevant tools like Snowflake and AWS.
Craft a Compelling Cover Letter: In your cover letter, clearly articulate how your skills align with the role's responsibilities. Mention specific projects where you've led AI initiatives or translated business objectives into technical solutions.
Showcase Communication Skills: Since the role requires effective communication with both technical and non-technical audiences, include examples in your application that demonstrate your ability to convey complex information clearly.
Highlight Leadership Experience: Detail your leadership experience in previous roles, especially in managing cross-functional teams. Provide examples of how you've successfully led projects from scoping to delivery, ensuring stakeholder engagement throughout.
How to prepare for a job interview at Snap Analytics
✨Showcase Your Technical Expertise
As a Principal AI Consultant, you'll need to demonstrate your proficiency in Python, SQL, and data science techniques. Be prepared to discuss specific projects where you've successfully applied these skills, especially in cloud environments like Snowflake and AWS.
✨Communicate Clearly
You'll be translating complex technical concepts for both technical and non-technical audiences. Practice explaining your past projects and their impact in simple terms, ensuring you can convey insights effectively to diverse stakeholders.
✨Highlight Leadership Experience
This role requires strong leadership skills. Share examples of how you've led teams or projects, particularly in managing cross-functional collaboration. Emphasise your ability to guide teams through the end-to-end delivery of AI applications.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle real-world challenges. Think of scenarios where you've had to translate business objectives into technical solutions and be ready to discuss your approach and outcomes.
