Head of Data Science

Key Responsibilities

• Shape Data Science Strategy: Define and advise on the data science approach for your product, ensuring a balance of analytical rigor, interpretability, and scalability, while enabling model reuse across multiple client contexts.
• Client Engagement: Collaborate with sector teams, go-to-market specialists, and solution architects to uncover client challenges, showcase product capabilities, gather feedback, and influence development priorities.
• Model Deployment: Work closely with engineers to productionize models on cloud platforms (Azure, AWS, or GCP) using MLOps and DevSecOps best practices.
• Continuous Improvement: Partner with the Product Owner to monitor model performance and user feedback, refining algorithms, enhancing features, and driving better product outcomes over time.
• Responsible AI: Embed principles of responsible and explainable AI throughout development to ensure outputs are trusted, transparent, and compliant with PwC standards.

Skills & Experience

• Applied Analytics Expertise: Hands-on experience (professional or academic) applying analytics to solve real-world business problems.
• End-to-End Data Science: Practical knowledge across the full lifecycle&mda...