| Description: |
We are looking for a driven and innovative Senior Data Scientist to join our Data Insights & Strategy team. The ideal candidate should be a proactive self-starter with a passion for data capable of independently managing projects from concept to production and able to translate complex data "stories" into actionable insights for senior leadership.
Key Responsibilities:
- Design, develop, and deploy a range of sophisticated machine learning models (ML/AI) to address critical business problems.
- Apply advanced statistical techniques for predictive modelling (e.g., forecasting, classification) and descriptive analysis to uncover deep, actionable insights from complex datasets.
- Engage directly with senior business stakeholders to understand their strategic challenges, proactively proposing innovative, data-driven solutions and models.
- Develop and maintain advanced, scalable data visualization dashboards (primarily using Power BI) to communicate model outputs and analytical results to a non-technical audience.
- Contribute to the design and execution of the firm's overarching data science and analytics strategy.
- Champion data governance principles and collaborate with data engineering teams to advise on the strategic development of cloud-based data architecture.
Required Qualifications & Skills:
- A minimum of 7-10 years of hands-on experience in a Data Scientist, Data Modeller, or ML Engineer role.
- Bachelor's / Master's Degree in a quantitative field such as Computer Science, Statistics, Data Science, Mathematics, or Econometrics.
- Strong experience within the financial services industry (e.g., wealth management, investment banking, risk management) is highly preferred.
- Advanced SQL skills with the ability to write complex queries across large, structured, and unstructured datasets.
- Proven experience in data visualization and dashboard development, with specific expertise in Power BI.
- Demonstrable experience applying classical ML models (e.g., Gradient Boosting, Random/Isolation Forests, K-Means).
- Practical, hands-on experience building and demonstrating Generative AI solutions.
- Familiarity with modern, cloud-based data platforms (e.g., Snowflake, Databricks, Azure, AWS) is a significant advantage.
- An entrepreneurial, proactive "self-starter" attitude with the ability to run tasks and projects independently.
If this outstanding opportunity sounds like your next career move, please submit through "Apply Now" or send your resume in Word format to Enfany Cheung at resume[at]pinpointasia.com and put Senior Data Scientist - Tier 1 Financial Institution - J12063 in the subject header. Data provided is for recruitment purposes only.
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