Data Scientist Manager (Indonesia)

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

Job summary

Thakral One is seeking a Data Scientist Manager to lead end-to-end analytics projects for a global client in payments and financial services. The role focuses on translating business challenges into analytic solutions, building predictive models, and delivering data-driven recommendations to improve growth and portfolio performance.

You will work with large datasets, collaborate with stakeholders, and ensure high-quality outputs while applying best data science practices across on-premise and

Qualifications

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

Responsibilities

• Execute end-to-end data science and analytics projects addressing 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.

Tools

Python

R

SQL

Hadoop

Spark

Hive

Tableau

Power BI

GCP

AWS

Azure

Job description

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.

What You’ll Do and How You’ll Succeed

• 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.

We’d Love to Hear From You If...

Experience

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

Technical Expertise

• You are proficient in Python, R, and SQL.
• You have experience with big data platforms such as Hadoop, Spark, and Hive.
• You are familiar with cloud environments including GCP, AWS, and Azure.
• You have a solid understanding of statistical and machine learning methods such as regression, classification, clustering, gradient boosting, and neural networks.
• You are experienced with data visualisation tools such as Tableau or Power BI.

Ways of Working

• You can manage multiple concurrent analytics projects with diverse stakeholders.
• You communicate complex analytical concepts clearly to non-technical audiences.
• You demonstrate strong analytical thinking, problem-solving ability, and attention to detail.

Who We Are

Thakral One is a consulting and technology services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes.

This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.