Senior Data Scientist

Working closely with the CDO, you’ll drive impactful AI initiatives that enhance hyper-personalization, client experience, and operational efficiency. This is an opportunity to build next-gen AI solutions while contributing to enterprise-wide digital transformation in a highly collaborative and innovative environment.

**Key Responsibilities**
- Build and deploy production-grade machine learning models across areas such as personalization, recommendation systems, client segmentation, credit risk, fraud detection, and churn prediction.
- Leverage advanced techniques, including deep learning, reinforcement learning, NLP, and generative AI (e.g., prompt engineering, RAG, agentic AI).
- Design end-to-end ML pipelines using cloud-native, scalable infrastructure (AWS, Azure, GCP) and MLOps best practices.
- Develop and maintain ML infrastructure and automation workflows to enable rapid experimentation, training, and deployment.
- Implement continuous monitoring, performance evaluation, and real-time model optimization.
- Work with Front Office, Marketing, Risk, Compliance, Credit, and IT teams to integrate AI into business processes and client-facing platforms.
- Collaborate with data engineers to build robust, scalable data pipelines and ensure data quality, consistency, and governance.
- Contribute to feature engineering, preprocessing, and real-time data workflows.
- Ensure AI models comply with internal policies and regulatory requirements (e.g., data privacy, fairness, explainability).
- Share knowledge, mentor junior team members, and contribute to the upskilling of staff across the organization.
- Establish scalable workflows, governance models, and standards for AI model development and industrialization.
- Promote a culture of AI across the firm and collaborate under the Group’s approach with global entities.

**Key Requirements**
**Education & Experience**
- Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field.
- 5 - 8+ years of experience in data science and machine learning, including at least 2 years in a senior or lead role.
- Proven track record of deploying AI models in production, preferably in financial services, tech, or a highly regulated industry.

**Technical Skills**
- Proficient in Python, SQL, and at least one compiled language (e.g., Java or C++).
- Deep experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and MLOps tools (e.g., Docker, Kubernetes, Grafana, Prometheus, Giskard).
- Strong knowledge of big data tools (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
- Experience with streaming data, real-time ML, and model monitoring systems.

**Domain Knowledge**
- Ideally some experience in Financial Services, client behavior analytics, risk modeling, or fraud detection.
- Strong understanding of model interpretability and explainability (e.g., SHAP, LIME).

**Soft Skills**
- Strategic thinker with a hands-on mindset.
- Strong communication and stakeholder management skills.
- Ability to influence and collaborate across functions and geographies.

Data provided is for recruitment purposes only.
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**_Headquartered in Hong Kong, Pinpoint Asia is the go-to Specialist Firm for Technology Recruitment_**
- We are a team of specialist tech recruiters (many of our recruiters come from an IT background) and we serve a wide range of clients, all the way from tech startups (especially FinTech) to some of the top Financial Institutions on Wall Street and several other large scale enterprises in other industries._
- Our significant market reputation and status as the leading search firm for many of our clients is a direct result of our strong industry relationships, intimate understanding of the marketplace and proven ability to deliver results._
- Our vision is _to help companies hire smarter and help job seekers get closer to their career aspirations._

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