At a Glance
- Tasks: Lead a dynamic data science team and drive innovation in AI and analytics.
- Company: High-growth organisation at the forefront of data-driven strategies.
- Benefits: Competitive salary, hybrid work, bonuses, pension scheme, and discounts.
- Other info: Join a culture of innovation with ongoing training and development opportunities.
- Why this job: Shape the future of data science and make a real impact on business growth.
- Qualifications: Proven leadership in data science with expertise in Python, SQL, and machine learning.
The predicted salary is between 130000 - 130000 € per year.
Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy?
We're looking for a Head of Data Science who's passionate about building and scaling teams, driving innovation and translating complex data into decisions that directly influence business growth.
What You'll Do as Head of Data Science
- Lead, mentor and grow a team of data scientists, fostering a culture of innovation, rigour and continuous improvement.
- Define and own the data science strategy, roadmap and ways of working across the function.
- Take ownership of high-impact use cases spanning marketing, pricing, demand forecasting and AI innovation.
- Design and oversee the delivery of predictive models and advanced analytics solutions that unlock new revenue opportunities.
- Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions into operational systems.
- Translate complex technical outputs into clear, compelling narratives for board-level and executive stakeholders.
- Champion AI and machine learning innovation, staying ahead of industry best practice and emerging technologies.
- Promote ethical data use, governance and compliance across all analytics initiatives.
What You Bring as Head of Data Science
- Proven experience leading a data science or advanced analytics function.
- Deep technical expertise in Python, SQL and Spark SQL.
- Hands-on experience with machine learning frameworks including TensorFlow, PyTorch and scikit-learn.
- Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake.
- Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML).
- Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions.
- A track record of influencing at senior and executive level, with excellent stakeholder management skills.
- Knowledge of governance, compliance and ethical AI frameworks.
Why You'll Love It Here
- Competitive salary up to £130,000
- Hybrid working model
- Performance-related bonus
- Private pension scheme & life assurance
- Employee assistance programme
- Access to Perks at Work with thousands of national & local discounts
- Ongoing training and development opportunities
If you're ready to lead a data science function that drives real commercial impact, apply now for this Head of Data Science role and help shape the future of data-driven decision making.
Head of Data Science in London employer: LinkedIn
Join a high-growth organisation in London as the Head of Data Science, where you'll lead a world-class team dedicated to innovation and impactful decision-making. Enjoy a competitive salary, hybrid working model, and a culture that prioritises continuous development and ethical data practices, all while being part of a dynamic environment that values your expertise and contributions. With access to extensive training opportunities and employee benefits, this role offers a unique chance to shape the future of data-driven strategies in a thriving company.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science in London
✨Network Like a Pro
Get out there and connect with folks in the data science community! Attend meetups, webinars, or industry conferences. You never know who might be looking for someone just like you or who can give you a heads-up about job openings.
✨Showcase Your Skills
Create a portfolio that highlights your best projects and achievements in data science. Use platforms like GitHub to share your code and demonstrate your expertise in Python, SQL, and machine learning frameworks. This will make you stand out when you’re chatting with potential employers.
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss how you've led teams and tackled complex problems. Remember, it’s not just about your technical skills; they want to see your leadership and strategic thinking too!
✨Apply Through Our Website
When you find a role that excites you, apply directly through our website. It shows you're genuinely interested and helps us keep track of your application. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Data Science in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Head of Data Science role. Highlight your experience with Python, SQL, and machine learning frameworks like TensorFlow and PyTorch. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can lead and grow a team. Share specific examples of how you've driven innovation in previous roles.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made. Use metrics and outcomes to illustrate how your work has influenced business growth or improved processes. We love seeing tangible results!
Apply Through Our Website:We encourage you to apply through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people. Don’t miss out!
How to prepare for a job interview at LinkedIn
✨Know Your Data Science Stuff
Make sure you brush up on your technical skills, especially in Python, SQL, and machine learning frameworks like TensorFlow and PyTorch. Be ready to discuss specific projects where you've applied these skills and how they led to business growth.
✨Showcase Your Leadership Skills
As a Head of Data Science, you'll need to lead and mentor a team. Prepare examples of how you've successfully built and scaled teams in the past, and be ready to talk about your approach to fostering a culture of innovation and continuous improvement.
✨Translate Tech to Business
Practice explaining complex data science concepts in simple terms. You’ll need to communicate effectively with senior leadership, so think of ways to present your technical outputs as compelling narratives that highlight their business impact.
✨Stay Ahead of the Curve
Familiarise yourself with the latest trends in AI and machine learning. Be prepared to discuss how you can champion innovation within the company and promote ethical data use, governance, and compliance across all analytics initiatives.
