Job Description
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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.
Bachelor’s or Master’s 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:
Contract-Based (1 year)
Full Onsite
About us.
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.
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