Head of Data Science and AI

As a Data Science & AI Lead at our client, a leading IT and data solutions provider, you will be responsible for designing and implementing data-driven solutions that leverage advanced analytics, machine learning, and artificial intelligence techniques. Collaborating with cross-functional teams, you will understand business requirements, identify data sources, and develop scalable and robust data science architectures. **Key Responsibilities:** - Develop and manage the strategic data science and AI roadmap in alignment with the company's goals and objectives. - Lead a team of data scientists, machine learning engineers, and AI/ML specialists. - Oversee the design, development, and deployment of data science and AI/ML models and applications. - Collaborate with cross-functional teams (business, IT, product) to identify and prioritize data-driven initiatives. - Define and implement robust data governance, quality, and security practices. - Ensure the scalability, reliability, and performance of data science and AI/ML solutions. - Analyze and interpret complex data to uncover insights and recommend data-driven strategies. - Communicate findings, insights, and recommendations to stakeholders at all levels. - Stay informed about the latest trends, technologies, and best practices in data science and AI. - Mentor and develop the data science and AI/ML team members. - Continuously improve data science and AI/ML processes and methodologies. **Qualifications Required:** - 6+ years of experience in data science, machine learning, or artificial intelligence, with at least 3 years in a leadership role. - Proven track record of successfully delivering data-driven projects and solutions. - Proficient in statistical analysis, data mining, and machine learning techniques. - Hands-on experience with programming languages (e.g., Python, R, SQL) and data science/AI tools (e.g., TensorFlow, PyTorch, scikit-learn). - Strong understanding of cloud computing, data engineering, and software development lifecycles. - Excellent problem-solving, critical thinking, and decision-making skills. - Industry certifications in data science, machine learning, or AI/GenAI (e.g., AWS Certified Data Scientist, Google Cloud Professional Data Engineer). - Familiarity with natural language processing (NLP), computer vision, or other specialized AI domains. - Experience in product development, project management, or business consulting.,