Job description

Description: • As a Lead Data Scientist focused on AI and Machine Learning, you will drive the development and deployment of cutting-edge data science solutions to address complex organisational challenges. • You will guide and collaborate with multi-disciplinary teams, shaping strategic initiatives that innovate and optimise business operations through advanced analytics, predictive modelling, and automation. • Your expertise will directly contribute to building data-led cultures and maximising the value of our clients’ digital assets. • Design, develop, and deploy robust machine learning and deep learning models for a variety of data-driven use cases. • Select, engineer, and scale relevant features and data pipelines to support high-performing AI solutions. • Lead the integration of AI/ML models into secure, scalable production environments. • Translate complex business problems into actionable data science projects, from exploratory analysis to algorithmic deployment. • Collaborate with cross-functional teams—including product, engineering, and business units—to shape and deliver impactful AI/ML initiatives. • Champion a culture of inclusiveness, creativity, and continuous improvement within the data science community. Requirements: • Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related discipline. • 10+ years of hands-on experience in applied data science, machine learning, and AI solution delivery. • Expert proficiency in Python and/or R, along with data science libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch, pandas). • Demonstrated experience implementing production-grade machine learning solutions and deploying at scale (on-premise or on cloud platforms such as AWS, Azure, or GCP). • Deep knowledge of statistical analysis, data mining, predictive modelling, and data engineering best practices. • Strong communication skills and proven ability to convey complex technical concepts to a range of audiences. • Prior experience leading, mentoring, or managing diverse data science teams. • Experience with MLOps, data pipeline automation, and versioning tools (e.g., MLflow, Airflow, DVC) is highly advantageous. • Must be eligible to obtain and hold a Public Trust clearance. Benefits: • Competitive salary and comprehensive benefits package to support your wellbeing and career growth. • Flexible working arrangements, including hybrid and remote options for excellent work–life balance. • Access to ongoing professional training, conferences, and certifications in the AI/ML domain. • An inclusive, innovative work culture that encourages continuous learning, collaboration, and diversity of perspectives. • Structured career progression and leadership development opportunities in advanced analytics and AI.

Requirements