Data Scientist
A-IT Software Services Pte Ltd
Singapore, SG
1d ago
source : Glints

Budget : Up to S$9,000

Contract : 1 Year (Review in December 2020)

Location : Changi Business Park

Successful candidate will be assigned to a banking client - Technology & Operation - Core Banking

Responsibilities

Conceptualize and develop Blueprint for Machine Learning models using python, allied libraries and other tools

Predictive modelling using Machine Learning

Develop, train, test, deploy and finetune Machine learning models in CORE Banking Production environment

Usage of python libraries

Conceptualization, design, development, testing, implementation and maintenance of Machine Learning based models with Python and allied libraries pandas, matplotlib, XGBoost and other modelling tools

Automation of manual tasks

Understanding data patterns using tools and coming up with optimum solutions that are predictive and provides insights

Develop auto-healing solutions in production environment

Working with various other teams to conceptualize machine learning models

Data analysis to find patterns

Document all Use cases and steps

Good knowledge of Python development practices and ability to write clear and concise documentation (such as requirements, design and testing procedures)

Must have strong writing and verbal communication skills and must be able to work in an agile development environment

Demonstrate ownership and responsibility in all assignments

Proven ability to communicate and mentor junior developers

Proven experience of translating manual activities into an automated deployment.

Requirements

An undergraduate degree or higher

3+ years working with Python in a professional production environment,

Expert level experience in conceptualization, design, development, testing, implementation and maintenance of Machine Learning based models with Python and allied libraries pandas, matplotlib, XGBoost and other modelling tools

Predictive modelling - Proven ability to have implemented and conceptualized at least 2 predictive models in production environment

Good knowledge of Python development practices and ability to write clear and concise documentation (such as requirements, design and testing procedures)

Knowledge of mathematical and statistical concepts for Machine learning

Engineering experience working on production systems automation in Banking systems - architecture design, development, integration, customization & implementation.

Proven experience of automation of manual activities

Software version control tools (CVS / Subversion / Git)

Data handling tools

Strong team player, effective at communicating internationally and used to working closely with remote teams

Present facts and recommendations effectively in oral and written form

Pro-active, independent, resourceful and able to work in a team

High attention to detail with focus on understanding the issues with finding solutions

Good to have

Strong technical skills, e.g. scripting or programming experience - Java

Capacity monitoring & Observability

Production automation experience in a CORE Banking environment

Experience using and optimizing monitoring and trending systems (Prometheus, Grafana), log aggregation systems (ELK, Splunk) and their agents

Experience gained in the SRE team, a good understanding of SRE concepts and principles regarding performance, reliability, monitoring, alerting.

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