Test Req - CL Testing Comp Stats Test Scenario 8 (2 Apr)

300005 Chief Executive's Office_00002555; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading financial institution in Singapore is seeking Data Scientists to drive initiatives for becoming the most intelligent bank globally. Responsibilities include consulting with stakeholders, developing end-to-end machine learning solutions, and identifying opportunities through data analysis. Applicants should possess solid skills in statistics, machine learning, and programming in Python and SQL. Strong problem-solving and communication skills are essential for this role.

Qualifications

• Strong understanding of statistics and mathematical modeling required.
• Experience in building decision trees and Random Forest for ML problems.
• End to end experience in developing and deploying models.

Responsibilities

• Drive the journey towards becoming the most intelligent bank.
• Consult with stakeholders to devise data-driven solutions.
• Develop cross-sell, up-sell, and attrition models.

Skills

Statistical analysis

Machine learning

Python

SQL

Problem-solving

Communication skills

Tools

PySpark

Job description

Job Description

• We're looking for Data scientists across different levels to drive our journey towards becoming the most intelligent bank in the world
• Consult with business stakeholders to understand the business problem and devise data driven solutions
• Develop end to end data driven solutions starting from business problem understanding to deployment and productionising of the devised solution
• Continuously improve the existing processes of developing and deploying machine learning solutions
• Identify new opportunities from the bank by analyzing the vast amounts of both structured and unstructured data
• Develop cross sell, Up Sell, Attrition models to aid customer management and enable additional revenue to the bank
• Develop Hyper personalization solutions for the consumer bank

Requirement

• A Solid understanding of statistics, mathematical modeling, Machine learning
• Solid experience in building decision trees, Random Forest, Gradient boosting or any other ML methods both for classification as well as regression problems
• End to end experience right from solution development to deploying models into production
• Ability to program in Python, PySpark and SQL
• Proactive and able to work under pressure, strong problem-solving skills, and positive attitude
• Excellent written and verbal communication skills
• A demonstrated ability to self-learn new skills and technologies
• Experience in analytics and modeling in banking domain is good to have but not necessary