Utilize advanced data analytics techniques and statistical methods to extract insights, patterns, and actionable knowledge from large and complex datasets.
Develop machine learning models and algorithms for various use cases including predictive analytics, forecasting, optimization.
Work with historical data and real time inputs to identify trends and patterns.
Research, experiment, design, develop and implement generative AI models and applications, including prompt engineering, that can autonomously generate content such as images, text, audio &etc.
Stay abreast of emerging trends, technologies and methodologies in the fields of data analytics, AI and machine learning.
Proactively explore and experiment with new tools and techniques to drive innovation and competitive advantage.
Requirements
Bachelor's degree in computer science, data science, statistics, mathematics or related field.
Experience in data analytics, machine learning and AI with a track record of delivering impactful solutions preferably in the banking or financial services industry.
Strong understanding of statistical methods and machine learning algorithms.
Experience in developing and deploying machine learning models in a production environment.
Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders and vice versa.
Strong problem-solving skills and attention to detail, with a passion for innovation and continuous learning.
Work independently and collaboratively in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively.
