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- Tasks: Lead AI and data science initiatives, driving growth and delivering impactful solutions.
- Company: TrueNorth builds high-performing AI/ML and data science teams to transform businesses.
- Benefits: Enjoy a hybrid work model and competitive pay based on skills and experience.
- Why this job: Join a dynamic team, influence business strategies, and make a real impact with data.
- Qualifications: 8+ years in data science, with strong skills in Python, SQL, and analytics tools.
- Other info: This is a full-time senior leadership role in London, engaging with C-suite stakeholders.
The predicted salary is between 48000 - 84000 £ per year.
This range is provided by TrueNorth. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Direct message the job poster from TrueNorth
Building High-Performing AI/ML & Data Science Teams | TrueNorth
Principal Data Scientist
Location: London (Hybrid)
One of our clients are looking for a Principal Data Scientist who thrives at the intersection of advanced analytics and commercial strategy. This is a high-impact, client-facing leadership role where you’ll apply your deep technical expertise to drive growth, uncover new opportunities, and deliver transformative AI and data science solutions.
The Opportunity
As a senior leader within the team, you’ll play a central role in shaping their data science offerings and influencing business outcomes—both internally and for their clients. You’ll lead the development and delivery of next-gen solutions, guide commercial strategies, and act as a trusted advisor to senior stakeholders.
Responsibilities
- Develop and lead go-to-market strategies for AI and data science services.
- Identify and pursue high-value commercial opportunities and partnerships.
- Drive business development and client acquisition initiatives.
Client Engagement & Advisory
- Partner with C-suite and senior stakeholders to translate data insights into actionable business strategies.
- Lead proposal development, pitch presentations, and contract negotiations.
- Ensure delivery of impactful, revenue-generating analytics solutions.
Data Science & AI Innovation
- Design and deploy machine learning models and advanced analytics that optimise performance, customer engagement, and profitability.
- Support strategic decision-making through data-driven insights and predictive modelling.
Team Leadership & Capability Building
- Lead cross-functional teams of data scientists, engineers, and business experts.
- Foster a results-oriented, commercially-focused team culture.
- Collaborate across departments to align data initiatives with business priorities.
Performance & ROI Measurement
- Define success metrics and frameworks for tracking the commercial impact of data science initiatives.
- Build business cases to support investments and ensure measurable outcomes.
Qualifications & Experience
- 8+ years in data science, analytics, or AI, with at least 3 years in a senior commercial or consulting role.
- Proficiency in tools and platforms such as Python, SQL, Vector stores & graphs, Power BI, Looker, and modern analytics stacks.
- Bachelor’s or Master’s degree in a quantitative field (e.g. Data Science, Statistics, Economics). MBA or business qualifications are a plus.
- Strong track record in generating revenue and leading commercial data science initiatives.
- Proven experience working with senior stakeholders and translating complex technical concepts into business value.
- Ability to lead high-performing teams and drive cross-functional collaboration with clear, outcome-oriented focus.
- Demonstrated success delivering high-impact projects that have directly contributed to revenue growth, customer acquisition, or operational efficiency.
- Deep understanding of commercial business models and market dynamics.
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Information Technology
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Industries
Staffing and Recruiting
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Principal Data Scientist employer: TrueNorth®
Contact Detail:
TrueNorth® 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 field, especially those who have experience in commercial roles. Attend industry events or webinars where you can meet potential colleagues or clients, as personal connections can often lead to job opportunities.
✨Tip Number 2
Showcase your leadership skills by participating in or leading projects that demonstrate your ability to drive business outcomes through data science. Highlight any successful initiatives you've led that resulted in revenue growth or improved client engagement.
✨Tip Number 3
Familiarise yourself with the latest trends and technologies in AI and data science. Being knowledgeable about current tools and methodologies will not only help you in interviews but also position you as a thought leader in discussions with potential employers.
✨Tip Number 4
Prepare for client-facing scenarios by practising how to translate complex data insights into actionable business strategies. Role-playing these situations can help you articulate your value to senior stakeholders effectively during interviews.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, analytics, and AI. Emphasise your leadership roles and any successful projects that demonstrate your ability to drive business growth.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role of Principal Data Scientist. Discuss how your skills align with the responsibilities outlined in the job description, particularly in client engagement and commercial strategy.
Showcase Technical Expertise: Be specific about your proficiency in tools like Python, SQL, and Power BI. Include examples of how you've used these tools to deliver impactful data science solutions in previous roles.
Highlight Stakeholder Engagement: Provide examples of your experience working with senior stakeholders. Illustrate how you've translated complex data insights into actionable business strategies that have led to measurable outcomes.
How to prepare for a job interview at TrueNorth®
✨Showcase Your Technical Expertise
As a Principal Data Scientist, you'll need to demonstrate your deep technical knowledge. Be prepared to discuss specific projects where you've applied machine learning models or advanced analytics, and how these contributed to business outcomes.
✨Prepare for Client Engagement Scenarios
Since this role involves significant client interaction, practice articulating how you would translate complex data insights into actionable strategies for C-suite executives. Use examples from your past experiences to illustrate your approach.
✨Highlight Leadership Experience
This position requires leading cross-functional teams. Be ready to share instances where you've successfully led teams, fostered collaboration, and driven results. Emphasise your ability to create a commercially-focused team culture.
✨Understand the Business Context
Familiarise yourself with the commercial business models and market dynamics relevant to the company. During the interview, demonstrate your understanding of how data science can drive revenue growth and operational efficiency in their specific industry.
