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. #J-18808-Ljbffr