Data Scientist

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: