Head of Data Science role leading the data science function for an innovative software platform delivering predictive insights from customer behaviour to global enterprises. You'll set ML strategy and drive hands-on execution, scaling robust, commercially relevant AI systems across the product. Standout perk: high ownership and freedom to shape how machine learning evolves in the business.
- Lead and shape ML strategy
- Real-world commercial impact
- Work with global enterprise customers
If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity.
An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you’ll guide both strategic direction and technical execution of AI initiatives central to the product. The platform helps global enterprises make smarter commercial decisions through predictive insights rooted in customer behaviour.
You’ll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You’ll work with senior leadership and collaborate across departments to ensure machine learning delivers real, lasting value.
This role offers a blend of strategic influence and hands‑on impact. You’ll define how machine learning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you’ll have the freedom and responsibility to set the pace.
The ideal candidate has at least eight years of experience in machine learning or data science, including a solid leadership track record. You’ll bring deep technical expertise in model development, data infrastructure, and operational practices. Proficiency in Python is essential, and experience with cloud platforms like AWS, Azure, or GCP is highly valued. A background in a quantitative field such as mathematics, statistics, or physics is key, especially if you can connect technical insight to business needs.
Success in this role depends on your ability to lead people, mentor teams, and communicate clearly with both technical and non-technical colleagues. Familiarity with agile workflows and experience in fast-moving, product‑led environments will be an asset.
If you're ready to take ownership of machine learning at a company where your work shapes both product and strategy, this is your moment.
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