Data Science Manager

About the Role:

We are seeking a highly motivated and experienced Data Science Manager to join our internal Chief Data and Analytics Office (CDAO) team. This role will be pivotal in driving data-driven decision-making and enhancing business performance across KPMG. You will lead the design, development, and implementation of advanced analytical solutions, including predictive models and AI-powered data products, to address complex business challenges and unlock new opportunities. As a Data Science Manager, you will be responsible for guiding a team of data scientists, fostering a culture of innovation, and ensuring the successful delivery of impactful data-driven insights.

Key Responsibilities:

• Lead a team of data scientists in the development and deployment of predictive models, statistical analyses, and AI/ML solutions.
• Collaborate with senior stakeholders to understand business needs, define analytical objectives, and translate them into actionable data science projects.
• Oversee the entire model lifecycle, from initial design and development to deployment, monitoring, and ongoing maintenance.
• Ensure the quality, accuracy, and reliability of data products and analytical insights.
• Communicate complex technical findings and recommendations to both technical and non-technical audiences, including senior management.
• Drive the adoption of best practices in data science, including model governance, data quality, and ethical considerations.
• Mentor and develop data science team members, fostering a culture of continuous learning and innovation.
• Proactively identify opportunities to leverage data science to improve business efficiency, drive revenue growth, and enhance client service.

Essential Skills and Experience:

• Extensive experience in developing and deploying predictive models and AI/ML solutions in a business context.
• Proven leadership skills with experience managing and mentoring a team of data scientists.
• Strong understanding of statistical modelling, machine learning algorithms, and data mining techniques.
• Excellent communication and presentation skills, with the ability to effectively convey complex information to diverse audiences.
• Proficiency in programming languages such as Python or R, and experience with data science tools and libraries.
• Experience with data visualization and the creation of compelling data stories.
• Ability to work collaboratively with stakeholders across different business functions.
• A proactive and strategic mindset, with a passion for leveraging data to drive business impact.

Desirable Skills and Experience:

• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and big data technologies.
• Experience with model monitoring, performance evaluation, and retraining strategies.
• Knowledge of data governance principles and practices.
• Experience working in a consulting environment.
• Master's degree or PhD in a quantitative field such as statistics, mathematics, computer science, or a related discipline.
• Emphasizing strategic thinking and business alignment.
• Highlighting the importance of communication and stakeholder management.
• Including mentoring and development of team members.