Data Scientist

Aia Australia; Daerah Khusus Ibukota Jakarta; On-site; IDR 300.000.000 - 400.000.000; Full time

Job summary

A financial services company in Indonesia is seeking a Data Scientist who will develop predictive algorithms and deliver analytical solutions to drive strategic decision-making. The ideal candidate will have at least 3 years of experience in AI/Analytics, solid skills in Python and Azure Cloud Platform, and the capability to effectively communicate results to stakeholders. This position offers a unique opportunity to leverage cutting-edge technologies and enhance customer experience.

Qualifications

• At least 3 years of relevant experience in AI/Analytics/ML.
• Solid understanding of statistics and ML fundamentals.
• Ability to engage with stakeholders and communicate analytical results.

Responsibilities

• Perform data exploration, cleaning, and feature engineering.
• Facilitate implementation of AI/Analytics use cases.
• Analyze complex datasets for predictive forecasting.

Skills

Python

Machine Learning

Statistics

Data Analysis

SQL

Communication Skills

Tools

Azure Cloud Platform

Hadoop

Spark

Kafka

GitHub

Job description

About the Role

AIA is hiring for Data Scientist, this position will play a pivotal role in delivering timely, high-quality analytical solutions that drive strategic decision-making. You'll develop predictive algorithms and generate impactful insights that enhance customer experience, boost operational efficiency, and foster innovation. Leveraging cutting-edge technologies in Machine Learning and AI, you'll collaborate across teams and stakeholders to maximize the value and impact of data-driven initiatives within the organization.

Key responsibilities:

Perform tasks such as data exploration, cleaning, and feature engineering with the development of APIs from data science models in a cloud-based environment. Facilitate the implementation of AI/Analytics use cases within the organization with proper sizing of benefits and impact to the organization. Analyze complex datasets and correlating information into predictive forecasts and/or fact-based trend analysis. Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions, increasing productivity, or improving sales performance. In charge and comfortable in model presentation, articulating, communicating in concise, effective and clear communication during the model development towards line of business, risk team and technical team. Based on defined business model, the data scientist will collaborate to do 2 prototyping diverse AI/Analytics use cases, such as but not limited to: Predictive Models, Propensity to Buy, Attrition Analysis, Recommendation Engine, etc.

Job Requirements:

At least 3 years of relevant experience in implementing AI/Analytics/ML use cases with proven value and impact to the organization. Solid understanding of Statistics/ML fundamentals and demonstrated experience in Python, R. Solid experience and knowledge on Azure Cloud Platform (or any of the major cloud solution providers such as AWS, Azure, AliCloud) in implementing end-to-end model training, validation & deployment within the associated cloud services. Proven knowledge & delivery working with structured & unstructured data with a diverse set of data technologies: Informatica, Databricks, Azure Data Factory & etc. High fluency in Python, SQL or equivalent and experience with big data tools: Hadoop, Spark, Kafka & etc. Knowledge of version control tools such as Bitbucket, GitHub & GitLab. Communication skills to engage with business stakeholders to understand their needs and effectively communicate the results of the analytical solutions. Ability to write clear and concise technical documentation.

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