Head of Data Science & AI

Description:

Join a market-leading research and insights organisation that is reinventing its data science and analytics capabilities into a product-focused, world-class engine. With over 30 years of credibility and ambitious growth plans, the business is investing heavily in AI, machine learning, scalable automation, and advanced data architecture to redefine how clients access and leverage intelligence.

In this role, you will spearhead the shift from traditional reporting to a modern, AI-enabled insights ecosystem. You will lead the design of predictive models, shape high-performing, future-ready teams, and embed data-driven products that deliver measurable impact across sectors including telco, retail, finance, and social research.

Key Responsibilities:

• Lead the organisations AI and machine learning transformation, implementing predictive analytics, automated workflows, and ethical data science practices.
• Build and structure agile teams of Data Scientists, Engineers, Statisticians, and Insights Specialists transitioning into next-generation roles.
• Drive innovation by embedding advanced analytics into scalable dashboards and client-facing solutions.
• Collaborate with executive leadership to define long-term data strategy, develop 120-day execution plans, and monitor strategic KPIs.
• Mentor and guide multi-disciplinary teams to deliver high-quality analytics, operational excellence, and forward-looking capability
  Job Experience and Skills Required:
  
  • Education: Bachelors Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field - Masters or PhD advantageous
  • Experience:
  • 10+ years in data science, analytics, or advanced statistical environments.
• Minimum 5 years in market research, CX insights, analytics consulting, or a related field.

Proven track record in AI/ML transformation, scaling teams, and building high-performance capabilities in growth-oriented organisations. Hands-on experience developing predictive models, cloud-based data pipelines (AWS/GCP/Azure), and real-time analytics solutions. Skills: Proficiency in Python, R, SQL, and modern machine learning frameworks. Strong understanding of ethical AI, data governance, and research standards aligned with global best practice. Ability to translate complex analytics into actionable, client-focused insights and products. Exceptional leadership, strategic communication, and cross-functional collaboration skills. Demonstrated ability to build and lead high-performing technical teams.
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