Data Scientist

Responsibilities: Collect, clean, and analyze large sets of structured and unstructured data to extract meaningful insights and trends Develop and implement advanced machine learning algorithms to solve complex business problems Support moving models to production, by creating high quality code modules that can be seamlessly integrated into existing systems (both on-prem and cloud) Communicate complex findings to both technical and non-technical audiences through effective data visualization and storytelling. Collaborate with cross-functional teams to identify data-driven opportunities and translate business requirements into actionable data solutions. Support the development and maintenance of data pipelines and infrastructure Stay up-to-date with industry trends and advancements in Data Science and Machine Learning technologies. Skills Required: Strong foundation in statistics, and machine learning algorithms Strong proficiency in programming languages like Python and SQL. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Should have built production models using at least 2 of the ML techniques: Clustering, Regression, Classification Experience in Banking & Financial Services is preferred. Experience working on cloud platforms (e.g., AWS, GCP) is preferred. A passion for data and a curiosity to explore new trends and technologies