Data Scientist

Job Description

Job purpose: To design, develop, and deploy end-to-end AI/ML systems for data-driven decision-making within the Fintech domain, with a strong emphasis on Credit Risk Assessment. The role involves building intelligent, high-performance applications by integrating advanced machine learning techniques, optimizing model performance, and ensuring seamless deployment across cloud-native and enterprise environments. Who you are: Good knowledge of statistical analysis, theory of probabilities, design of experiments and machine learning. Acuity for business flow understanding and expertise in data preparation-data mining and pre-processing. Solid Understanding of SQL, PL/SQL, SQL Server, SPSS, SPAS Good command of programming language and software environment for statistical analysis, graphics representation and reporting i.e. R, Python; Knowledge of Business Objects, Tableau would be added advantage. Excellent communication and presentation skills Bachelors/Masters in Computer Science, Engineering or relevant field; graduate degree in Data Science or another quantitative field is preferred Must possess a balance of analytic problem solving and strong interpersonal and relationship development skills. 4+ years of hands on experience. Proven experience into Fintech domain or credit risk analysis. What will excite us: Ability to understand non-functional requirements such as scalability, security, application monitoring, performance etc. Prior experience with Domain Driven Design (DDD). Good experience with Test Driven Development. What will excite you: Opportunity to work on large scale enterprise solution building. Opportunity to explore new technologies & frameworks with accomplished solution architects & industry leaders. Will get exposure to latest aspects of security, AI/ML, Business Domain and data analytics. Location: Gurugram, Haryana.