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Full-time
bachelor degree, postgraduate degree
Posted 46d ago
~40 hrs/week
Responsibilities
Execute end-to-end data science projects to drive growth and portfolio optimization for financial services clients. Translate business challenges into analytical frameworks and deploy predictive models to generate actionable insights.
Requirements
Requires at least 8 years of professional experience in data science within the banking or payments sector. A degree in a quantitative discipline and proficiency in Python, R, SQL, and big data platforms are essential.
Full job description
As a Principal Data Scientist, 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.
A technology consulting and services company headquartered in Singapore, with a pan-Asian presence.
Industry
IT Services and IT Consulting
Company size
501-1,000 employees
Founded
1997
Headquarters
Singapore
LinkedIn followers
52,230
Thakral One is a technology consulting and 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.
Offices: 20 Upper Circular Road, #30-16 The Riverwalk, Singapore, 058416, SG · Unit 2805, The Podium West Tower, 12 ADB Avenue, Ortigas Center, Mandaluyong City, 1550, PH · 1st floor, Shree Rajarajeshwari Arcade, No. 23/50/1A/514/2/1-1, Opp. Lumbini Garden, Veerannapalya Flyover, Bengaluru, 560045, IN · Level 18, 324 Queen Street, Brisbane, Queensland 4000, AU · Unit B, 13/F Chuan Kei Factory Building 15-23 Kin Hong Street, Hong Kong, 999077, HK
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