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- Tasks: Lead AI/ML projects, influence client strategies, and deliver impactful solutions.
- Company: Join a fast-growing consultancy focused on data analytics and AI/ML innovation.
- Benefits: Enjoy a competitive salary, bonuses, and travel perks while working with top-tier professionals.
- Other info: Hybrid work model with client-site travel across the UK.
- Why this job: This role offers a unique blend of technical and strategic influence in a high-growth environment.
- Qualifications: 5+ years in Data Science/AI/ML, ideally with consulting experience and a strong entrepreneurial mindset.
The predicted salary is between 72000 - 108000 £ per year.
Principal Consultant – Data Scientist AI/MLLocation: Hybrid / Client-Site Travel Across the UK (3+ days/week)Salary: Up to £95,000 + bonusType: PermanentTHE COMPANYA rapidly growing management consultancy with a unique client mix— with a strong data and analytics foundation, they’re now building out their AI & ML capability to expand the services they offer clients.THE ROLEAs a Principal Data Science Consultant, you’ll shape and deliver AI/ML solutions across a wide range of industries. You’ll help scope opportunities, pitch ideas, and lead projects end-to-end. This is a rare role that blends technical credibility with strategy and stakeholder influence—ideal for someone with a consultancy background and a commercial mindset.KEY RESPONSIBILITIESDesign and lead AI/ML/GenAI projects across sectorsInfluence client strategy and solution designDeliver real-world business impact through simulation, ML, NLPEngage in high-level stakeholder conversations and proposal developmentHelp formalise and grow the advanced analytics teamYOUR SKILLS AND EXPERIENCE5+ years in Data Science/AI/ML, preferably within consulting or managed servicesStrong mix of technical and stakeholder-facing experienceEvidence of delivering real business value (ROI, time saved, revenue gained)Entrepreneurial mindset—able to shape solutions and drive changeBENEFITSUp to £95,000 base bonusExpensed travel and hotel stays Work with a high-calibre team from top-tier consultanciesHigh-growth business with recent global expansionInterested? Please register your interest by sending your CV to Lauren McAlister via the Apply link on this page.
Principal Data Scientist employer: LinkedIn
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Network with professionals in the data science and consultancy fields. Attend industry events, webinars, or meetups to connect with potential colleagues or clients who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your experience in leading AI/ML projects by preparing specific examples of your past work. Be ready to discuss how you influenced client strategies and delivered measurable business impact during interviews.
✨Tip Number 3
Familiarise yourself with the latest trends in AI and ML, especially those relevant to consultancy. Being able to discuss current advancements and their implications for businesses will demonstrate your expertise and enthusiasm for the field.
✨Tip Number 4
Prepare for high-level stakeholder conversations by practising your communication skills. Focus on how to convey complex technical concepts in a way that is accessible and engaging for non-technical audiences.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Data Science, AI, and ML, especially within a consultancy context. Emphasise your technical skills and any successful projects that demonstrate real business impact.
Craft a Compelling Cover Letter: Write a cover letter that showcases your entrepreneurial mindset and ability to influence client strategy. Mention specific examples of how you've delivered ROI or driven change in previous roles.
Highlight Stakeholder Engagement: In your application, emphasise your experience in engaging with stakeholders. Provide examples of high-level conversations you've had and how they influenced project outcomes.
Showcase Your Project Leadership: Detail your experience in leading AI/ML projects from inception to delivery. Highlight your role in scoping opportunities and pitching ideas, as this aligns closely with the responsibilities of the position.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
As a Principal Data Scientist, you'll need to demonstrate your deep understanding of AI and ML. Be prepared to discuss specific projects you've led, the technologies you used, and the impact they had on the business. Highlight any innovative solutions you've developed.
✨Prepare for Stakeholder Engagement
This role requires strong stakeholder management skills. Think about examples where you've successfully influenced client strategy or navigated complex conversations. Be ready to explain how you can bridge the gap between technical details and business needs.
✨Demonstrate Your Entrepreneurial Mindset
The company is looking for someone who can shape solutions and drive change. Prepare to discuss instances where you've identified opportunities for improvement or innovation within a project. Show them that you can think outside the box and take initiative.
✨Understand the Company's Vision
Research the consultancy's current projects and their approach to AI/ML. Being knowledgeable about their work will not only impress your interviewers but also allow you to tailor your responses to align with their goals and values.