Senior Data Science Manager

Role Overview

We are looking for a Senior Manager Data Science to lead our advanced analytics machine learning and AI this role you will build and lead a high-performing team of data scientists and machine learning engineers shape our data science strategy and drive the development of scalable production-ready solutions that deliver real business value.

The ideal candidate brings deep technical expertise strong business judgment and a track record of turning complex analytical challenges into measurable outcomes.

Key Responsibilities

Leadership & Strategy

• Lead mentor and grow a team of Data Scientists and Machine Learning Engineers.
  
• Define and execute the organisations Data Science and AI strategy in alignment with business goals.
  
• Identify opportunities to apply data science across revenue growth operational efficiency risk management and customer experience.
  

Data Science & AI Delivery

• Oversee end-to-end development and deployment of ML and AI solutions.
  
• Ensure models are scalable reliable and production-ready.
  
• Set best practices for experimentation model evaluation monitoring and performance optimization.
  
• Drive adoption of advanced techniques including predictive modelling generative AI reinforcement learning and real-time decisions.
  

Governance & Risk Management

• Establish and maintain standards for model governance explain-ability fairness compliance and ethical AI.
  
• Ensure adherence to regulatory requirements and industry standards governing data use and AI implementation.
  
• Oversee model risk management and ongoing performance monitoring.
  

Stakeholder Engagement

• Partner closely with Product Engineering Risk Operations and Business teams to deliver high-impact data science initiatives.
  
• Translate technical findings and recommendations into clear actionable insights for senior leadership and non-technical audiences.
  
• Champion a data-driven culture across the organization.
  

Requirements

Educational Qualifications

Required

• Bachelors degree in Data Science Statistics Mathematics Computer Science Engineering or a related quantitative field.
  

Preferred

• Masters degree or PhD in Machine Learning Artificial Intelligence Applied Mathematics Econometrics Statistics or a related discipline.
  

Experience & Skills

• 812 years of experience in Data Science Machine Learning AI or Advanced Analytics with at least 3 years in a leadership or people management role.
  
• Demonstrated experience building deploying and managing production-grade AI/ML solutions.
  
• Proven ability to drive business outcomes through predictive analytics and data-driven decision-making.
  
• Strong understanding of the full model lifecycle from data preparation and development through to validation deployment monitoring and continuous improvement.
  
• Hands-on experience with cloud-based ML platforms such as AWS SageMaker Azure Machine Learning or Google Vertex AI.
  
• Experience in Financial Services Fin-tech Banking Telecommunications or other data-intensive industries is an advantage.
  
• Strong stakeholder management and cross-functional collaboration skills.
  

Preferred Certifications

• AWS Certified Machine Learning Specialty
  
• Microsoft Certified: Azure AI Fundamentals
  
• TensorFlow Developer Certification
  
• Other relevant AI ML or Data Science certifications