Data Scientist - Senior Consultant

Job Responsibilities

• Lead the design and delivery of advanced data science, machine learning, and AI solutions to address complex business challenges and drive measurable business outcomes.

• Engage with clients and senior stakeholders to understand business objectives, identify opportunities, and translate business requirements into data-driven strategies and technical solutions.

• Lead the collection, processing, cleansing, and analysis of large and complex datasets from multiple sources to ensure data quality, integrity, and reliability.

• Develop, validate, deploy, and optimise advanced statistical models, predictive analytics solutions, and machine learning algorithms.

• Provide technical leadership and expert guidance on data science methodologies, AI technologies, analytical frameworks, and industry best practices.

• Lead end-to-end data science projects, including requirement gathering, solution design, model development, implementation, testing, and performance monitoring.

• Collaborate with cross-functional teams, including data engineers, software developers, business analysts, and project managers, to deliver scalable and effective analytical solutions.

• Develop and present data visualisations, dashboards, analytical reports, and strategic recommendations to senior management and clients to support informed decision-making.

• Mentor and guide junior data scientists and consultants, review technical deliverables, and promote continuous improvement in analytical capabilities and project delivery.

• Monitor emerging technologies, AI developments, and industry trends to identify opportunities for innovation, improve solution performance, and enhance client value.

Job Requirements

• Bachelor’s degree or higher in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related discipline.

• Minimum 7 years of relevant experience in data science, machine learning, advanced analytics, AI, or a related field, with demonstrated experience leading complex data science projects.

• Strong proficiency in Python, R, SQL, and relevant data science frameworks and libraries, such as Pandas, Scikit-learn, TensorFlow, or PyTorch.

• Proven expertise in statistical modelling, machine learning, predictive analytics, data visualisation, and model deployment, with experience translating analytical findings into practical business solutions.

• Excellent consulting, stakeholder management, communication, and problem-solving skills, with the ability to lead project teams, advise senior stakeholders, and communicate complex technical concepts to both technical and non-technical audiences.

Clarence Khoh
R1552376