Senior Data Science Manager
- Team Leadership: Manage and develop high-performing teams of data scientists, fostering a collaborative and innovative environment.
- Project Oversight: Coordinate the distribution of projects, tools, and data, ensuring alignment with business strategy and data function goals.
- Advanced Modelling: Oversee the creation of custom data models and algorithms to address complex business problems.
- Strategic Influence: Serve as a subject matter expert, contributing to the Data Science & AI strategy and roadmap.
- Insight Delivery: Present complex findings clearly through data storytelling, visualisations, and stakeholder engagement.
- Mentorship & Growth: Coach and develop talent, creating pathways for career progression and technical excellence.
- Continuous Improvement: Drive process optimisation and best practices across the Data Science & AI function.
- Business Impact: Prioritise initiatives based on commercial value and impact, ensuring data science projects deliver measurable results.
- Deep knowledge in AI / Machine Learning , Statistical Analysis , and Algorithm Design
- Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing
- Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions
- Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model Management
- Strong understanding of AI Ethics and responsible data use
- Proven ability to translate complex data into clear business value for non-technical audiences
- Experience recruiting, coaching, and retaining top data talent
- Skilled at creating positive, high-performance team cultures
- Demonstrated success in setting clear strategic goals and delivering results
- Degree educated in a relevant field (e.g., Computer Science, Statistics, Engineering, Mathematics)
- A proven track record in senior data science or AI leadership roles
- Excellent communication and stakeholder management skills
- Experience working in large, data-rich organisations (preferably within technology, gaming, or digital sectors)
- Analytical Thinking: Critical, commercial insight-driven mindset
- Agility & Adaptability: Thrive in a fast-paced, ever-evolving environment
- Performance Orientation: Relentless drive for impact and excellence
- Integrity: Trusted leader who leads by example
- Collaboration: Team-oriented with strong stakeholder engagement skills
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