At a Glance
- Tasks: Lead a team of data scientists and drive AI innovation for business growth.
- Company: High-growth organisation at the forefront of AI and machine learning.
- Benefits: Up to £130,000 salary, hybrid work, bonuses, and extensive training.
- Other info: Join a dynamic team and enjoy excellent career development opportunities.
- Why this job: Shape the future of data-driven decision making and influence key business strategies.
- Qualifications: Proven leadership in data science with expertise in Python, SQL, and machine learning frameworks.
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.
- Partner with senior leadership across Growth, Strategy and Technology to embed scalable data science solutions into operational systems.
- 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.
Benefits:
- 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 & Machine Learning in City of London employer: Formula.
Join a dynamic and innovative organisation in London as the Head of Data Science & Machine Learning, where you'll lead a talented team dedicated to harnessing the power of AI and advanced analytics. With a hybrid working model, competitive salary, and a strong focus on employee growth through ongoing training and development opportunities, this company fosters a culture of collaboration and innovation. Enjoy unique benefits such as a performance-related bonus, private pension scheme, and access to exclusive discounts, making it an exceptional place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science & Machine Learning in City of London
✨Tip Number 1
Network like a pro! Reach out to connections in the data science field, attend industry meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects and achievements in data science and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss how you've led teams and driven innovation in past roles.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Head of Data Science & Machine Learning in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in leading data science teams and your technical skills in Python, SQL, and machine learning frameworks. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data science and innovation, and explain how you can drive growth at StudySmarter. Don’t forget to mention specific projects or achievements that showcase your expertise.
Showcase Your Leadership Skills:As a Head of Data Science, we’re looking for someone who can lead and mentor a team. Use your application to demonstrate your leadership style and how you've successfully built and scaled teams in the past.
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 get all the latest updates about your application status. Plus, it’s super easy!
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 contributed to business outcomes.
✨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.
✨Understand the Business Impact
Be prepared to discuss how data science can drive commercial growth. Think of specific use cases you've worked on that had a significant impact on marketing, pricing, or demand forecasting, and how you translated complex data into actionable insights for stakeholders.
✨Stay Ahead of the Curve
Demonstrate your knowledge of emerging technologies and industry best practices in AI and machine learning. Share your thoughts on ethical data use and governance, and how you plan to champion these principles within the organisation.
