At a Glance
- Tasks: Lead a dynamic team to shape data strategy and drive impactful analytics.
- Company: Globally recognised consumer brand with a focus on innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Join a culture of experimentation and continuous improvement.
- Why this job: Influence global leaders and shape the future of data and AI.
- Qualifications: Experience in leading analytics and data science teams in entrepreneurial settings.
The predicted salary is between 140000 - 140000 £ per year.
Do you want to define how one of the world's most recognised brands uses data to make better decisions? Have you successfully brought Analytics, BI and Data Science teams together into a single high-performing function? Are you ready to influence senior leaders across a global consumer ecosystem while shaping the future of data and AI?
A globally recognised consumer brand is hiring a Head of Analytics & Data Science to lead a newly combined Analytics and Data Science function. Created following a recent restructure, this role will unify reporting, analytics, insight and data science under a single strategy and operating model. This is a highly visible leadership position with responsibility for driving data adoption, shaping strategy, influencing executive stakeholders and ensuring analytics and data science deliver measurable commercial impact.
The successful candidate will lead a team of approximately 14 specialists and work closely with Product, Engineering, Governance and AI leadership teams. The role would suit an experienced Head or Director-level data leader who enjoys operating in entrepreneurial environments where they can shape direction, influence senior stakeholders and build high-performing teams.
Key Responsibilities- Define and deliver the Analytics & Data Science strategy across the organisation
- Lead and develop a multidisciplinary team spanning Analytics, BI and Data Science
- Drive adoption of self-service analytics and improve data accessibility
- Lead dashboard, reporting and insight transformation initiatives
- Partner with senior stakeholders to identify and prioritise high-value opportunities
- Guide development of predictive models, forecasting tools and ML-driven solutions
- Collaborate with Product, Engineering and Governance teams to deliver measurable business impact
- Build a culture of experimentation, innovation and continuous improvement
- Salary: Up to £140,000 base
- Working: Hybrid, 2–3 days per week in Central London
- Team: Direct responsibility for Analytics and Data Science leadership, managing c.14 specialists
- Tech Environment: SQL, Python, R, AWS, Snowflake, Tableau, Analytics & ML platforms
- Visa Sponsorship: May be considered for exceptional candidates
Interested? Please apply below.
Head of Data Science - Commercial Analytics in London employer: Harnham
Join a globally recognised consumer brand that champions innovation and data-driven decision-making. With a strong focus on employee growth, this company offers a dynamic work culture where you can lead a multidisciplinary team and shape the future of analytics and data science. Enjoy the benefits of a hybrid working model in Central London, competitive salary, and the opportunity to influence senior leaders while driving measurable commercial impact.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science - Commercial Analytics in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science and analytics space. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your expertise! Create a portfolio that highlights your past projects, especially those that demonstrate your ability to drive data adoption and deliver measurable impact. We recommend using platforms like GitHub or even a personal website to make your work shine.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership skills. Be ready to discuss how you’ve successfully unified teams and influenced senior stakeholders in previous roles. We want you to show them you’re the perfect fit for leading their Analytics & Data Science function!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our brand. Let’s get you that Head of Data Science role!
We think you need these skills to ace Head of Data Science - Commercial Analytics in London
Some tips for your application 🫡
Show Your Passion for Data:When writing your application, let your enthusiasm for data and analytics shine through. We want to see how you’ve used data to drive decisions in the past and how you envision doing it in the future. Make it personal and relatable!
Tailor Your Experience:Make sure to highlight your experience in leading Analytics and Data Science teams. We’re looking for someone who can unify these functions, so share specific examples of how you've successfully brought teams together and delivered measurable impact.
Speak Our Language:Use the terminology from the job description in your application. Words like 'self-service analytics', 'predictive models', and 'collaboration' resonate with us. It shows you understand what we’re about and how you fit into our vision.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in data science, analytics, and BI. Brush up on SQL, Python, R, and any relevant tools like Tableau or Snowflake. Being able to discuss specific projects or case studies where you've successfully integrated these technologies will show your expertise.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to demonstrate your ability to lead and develop teams. Prepare examples of how you've built high-performing teams in the past, focusing on your approach to mentoring and fostering a culture of innovation and experimentation.
✨Understand the Business Impact
Be ready to discuss how your work in analytics and data science has driven measurable commercial impact. Think about specific instances where your insights influenced business decisions or improved processes, and be prepared to share these stories during the interview.
✨Engage with Senior Stakeholders
Since this role involves influencing executive stakeholders, practice articulating your vision for data strategy clearly and confidently. Prepare to discuss how you would partner with senior leaders to identify high-value opportunities and drive data adoption across the organisation.
