Data Scientist Manager

2 days ago

Jakarta, Jakarta, Indonesia Thakral One Full time

The Opportunity.

We are seeking an experienced Principal Data Scientist to support data-driven initiatives for one of our global clients in the payments and financial services domain. The role will be part of a regional analytics and consulting team, responsible for delivering high-impact analytical solutions that enable business growth, enhance customer engagement, and optimize portfolio performance.

This is an individual contributor role focused on executing complex data science projects and generating actionable insights that drive strategic decision-making. The position requires strong technical expertise, business acumen, and the ability to translate data into measurable business outcomes.

The Role.

  • Execute and deliver end-to-end data science and analytics projects that address key business priorities in areas such as portfolio management, customer segmentation, acquisition, digital adoption, and risk optimization.
  • Translate business challenges into analytical frameworks and apply appropriate 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 multiple environments (on-premise and cloud-based).
  • Collaborate with internal consulting and business stakeholders to define scope, design solutions, and communicate outcomes effectively.
  • Deliver findings and recommendations through clear, data-driven storytelling and visualization.
  • Ensure project quality, consistency, and adherence to data science standards and best practices.
  • Proactively identify opportunities to apply analytics and data science to solve emerging business challenges.

The Expertise.

  • Bachelors or Masters degree in a Quantitative discipline (Statistics, Mathematics, Computer Science, Engineering, Economics, etc.)
  • At least 8 years of professional experience in data science, analytics, or statistical modeling with banking, payments, or financial services sectors.
  • Strong proficiency in Python, R, and SQL, with experience in big data platforms (Hadoop, Spark, Hive) and cloud environments (GCP, AWS, Azure).
  • Solid understanding of statistical and machine learning methods, such as regression, classification, clustering, gradient boosting, and neural networks.
  • Experience with data visualization tools (Tableau, Power BI, or similar).
  • Proven ability to manage multiple concurrent analytics projects with diverse stakeholders.
  • Excellent communication and presentation skills, with the ability to convey complex analytical concepts to non-technical audiences.
  • Strong analytical mindset, problem-solving ability, and attention to detail.

Other Relevant Information:

  • Location: Jakarta, Indonesia
  • Contract-Based (1 year)
  • Full Onsite

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