Data Scientist Manager (Indonesia)

Thakral One; Jakarta Pusat; On-site; IDR 400,000,000 - 700,000,000; Full time

Job summary

Thakral One in Jakarta, Indonesia seeks a Data Scientist Manager to deliver high-impact analytics for a global client in payments and financial services. You will lead end-to-end data science projects, generate actionable insights, and translate data into measurable business outcomes to drive growth, engagement, and portfolio optimization.

You will build and deploy models, work with large datasets across on-premise and cloud environments, and collaborate with stakeholders to define scope, design

Qualifications

• 8+ years of professional experience in data science, analytics, or statistical modelling within banking, payments, or financial services.
• Bachelor’s or master’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or Economics.

Responsibilities

• Deliver end-to-end data science and analytics projects addressing priorities like portfolio management, customer segmentation, acquisition, digital adoption, and risk optimization.
• Translate business challenges into analytical frameworks and apply statistical or machine learning techniques to generate insights and recommendations.
• Build, test, and deploy predictive and prescriptive models using advanced data science methods and tools.
• Work with large and complex data sets across on-premise and cloud environments.
• Collaborate with consulting and business stakeholders to define scope, design solutions, and communicate outcomes effectively.
• Deliver findings and recommendations through clear, data-driven storytelling and visualisation.
• Ensure project quality, consistency, and adherence to data science standards and best practices.
• Proactively identify opportunities to apply analytics and data science to emerging business challenges.

Skills

Communication skills

Analytical thinking

Problem solving

Attention to detail

Project management

Education

Bachelor's/Master's in quantitative field

Tools

Python

R

SQL

Hadoop

Spark

Hive

Tableau

Power BI

GCP

AWS

Azure

Job description

Job Title: Data Scientist Manager

Location: Jakarta, Indonesia

Work Mode: On-site

Industry: IT Services and IT Consulting

Job Summary

As a Data Scientist Manager, you will deliver high-impact analytical solutions for a global client in the payments and financial services domain. You will execute complex data science projects, generate actionable insights, and translate data into measurable business outcomes that drive growth, customer engagement, and portfolio optimisation.

Key Responsibilities

• Execute and deliver end-to-end data science and analytics projects addressing priorities such as portfolio management, customer segmentation, acquisition, digital adoption, and risk optimisation.
• Translate business challenges into analytical frameworks and apply statistical or machine learning techniques to generate insights and recommendations.
• Build, test, and deploy predictive and prescriptive models using advanced data science methods and tools.
• Work with large and complex data sets across on-premise and cloud environments.
• Collaborate with consulting and business stakeholders to define scope, design solutions, and communicate outcomes effectively.
• Deliver findings and recommendations through clear, data-driven storytelling and visualisation.
• Ensure project quality, consistency, and adherence to data science standards and best practices.
• Proactively identify opportunities to apply analytics and data science to emerging business challenges.

Required Experience

• At least 8 years of professional experience in data science, analytics, or statistical modelling within banking, payments, or financial services.
• Bachelor’s or master’s degree in a quantitative discipline such as Statistics, Mathematics, Computer Science, Engineering, or Economics.

Technical Expertise

• Proficiency in Python, R, and SQL.
• Experience with big data platforms such as Hadoop, Spark, and Hive.
• Familiarity with cloud environments including GCP, AWS, and Azure.
• Solid understanding of statistical and machine learning methods such as regression, classification, clustering, gradient boosting, and neural networks.
• Experience with data visualisation tools such as Tableau or Power BI.

Ways of Working

• Ability to manage multiple concurrent analytics projects with diverse stakeholders.
• Excellent communication skills, able to explain complex analytical concepts to non-technical audiences.
• Strong analytical thinking, problem‑solving ability, and attention to detail.

About the Company

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily on technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.