At a Glance
- Tasks: Lead and mentor a team of data scientists to drive innovation and business growth.
- Company: High-growth organisation at the forefront of AI and advanced analytics.
- Benefits: Competitive salary, hybrid work, performance bonus, and private pension scheme.
- Other info: Join a culture of innovation with opportunities for continuous improvement and ethical data use.
- Why this job: Make a real impact by translating complex data into strategic decisions.
- Qualifications: Proven experience in data science leadership and strong technical skills in Python 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
Head of Data Science employer: Formula.
Join a dynamic and innovative organisation in London as the Head of Data Science, where you'll lead a talented team dedicated to harnessing AI and advanced analytics to drive business growth. Enjoy a competitive salary, hybrid working model, and a culture that prioritises continuous improvement and ethical data practices, all while having the opportunity to influence key strategic decisions at the highest level. With a strong focus on employee development and a commitment to fostering innovation, this role offers a rewarding environment for those looking to make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science
✨Tip Number 1
Network like a pro! Get out there and connect with people in the data science field. Attend meetups, webinars, or industry conferences. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. This is your chance to demonstrate how you translate complex data into actionable insights, which is exactly what companies like us are looking for.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and machine learning frameworks. And don’t forget to practice explaining your work in a way that’s clear and compelling for non-technical stakeholders.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our mission of driving innovation in data science.
We think you need these skills to ace Head of Data Science
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 AI, machine learning, and team leadership. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and how you’ve driven innovation in previous roles. Let us know why you’re excited about joining StudySmarter and what you can bring to the table.
Showcase Your Technical Skills:Don’t hold back on your technical expertise! Mention your experience with Python, SQL, and any machine learning frameworks you’ve used. We love seeing hands-on experience that can translate into real-world solutions.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Formula.
✨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 fostering a culture of innovation and continuous improvement.
✨Translate Tech Speak into Business Language
You’ll need to communicate complex data insights to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on how your work influenced business decisions and drove revenue opportunities.
✨Stay Ahead of the Curve
Demonstrate your knowledge of the latest trends in AI and machine learning. Be prepared to discuss emerging technologies and how you can champion innovation within the company, while also promoting ethical data use and compliance.
