Senior Data Scientist

ABOUT CLIENT

Our client is a global technology company that specializes in providing innovative IT solutions for the financial services industry

JOB DESCRIPTION

Analysis Focused on Humans: Analyze human behavior, sentiment, and language data to reveal hidden patterns and support data-guided decision-making.
AI/ML Model Development: Develop prompts to interact with AI models, optimize output quality and relevance, conduct fine-tuning, data feeding, validation, and engineering for continuous improvement.
Pragmatic Solutions Delivery: Consistently make practical technical decisions that prioritize business value and speed of delivery, aligning with our early-stage startup environment.
Cross-functional Collaboration: Work with other product and engineering teams to understand data needs and ensure smooth data solution delivery.

JOB REQUIREMENT

Over 6 years of relevant experience in data science, with a focus on consumer-facing platforms, human-generated data, or similar domains.
More than 4 years of experience applying advanced statistical methods and data mining techniques to find new business opportunities and address existing challenges, including developing data products from concept to production.
Familiarity with Natural Language Processing (NLP), AI/Machine Learning (ML), including LLMs and modern ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and Quality Assurance (QA) for targeted applications.
Proficiency in SQL, one or more programming languages (Python, R, C++, Java), and familiarity with data science libraries and toolkits.
Ability to communicate complex technical concepts to non-technical partners.
Knowledge of Data Engineering, DevOps practices for AI model deployment, and MLOps principles.
AWS Experience: Familiarity with core AWS services used in a data context.
Experience in a Startup Environment: Comfortable with ambiguity and a fast-paced setting.

WHAT'S ON OFFER

We offer a professional and enjoyable working atmosphere.
We prioritize your long-term development.
We are dedicated to creating a future-ready digital bank platform.
Competitive salary
13th-month salary guarantee
Performance bonus
Access to professional English courses
Premium health insurance
Generous annual leave allowance

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Outsource

Technical Skills:

Data Science

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01932

Status:

Close

Related Job:

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam


Outsource

  • Data Engineering
  • Management

Architect, develop, and maintain scalable data infrastructure, including data lakes, pipelines, and metadata repositories, ensuring the timely and accurate delivery of data to stakeholders. Work closely with data scientists to build and support data models, integrate data sources, and support machine learning workflows and experimentation environments. Develop and optimize large-scale, batch, and real-time data processing systems to enhance operational efficiency and meet business objectives. Leverage Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services such as S3, Glue, EC2, and Lambda to manage data storage and compute resources, ensuring high performance, scalability, and cost-efficiency. Implement robust testing and validation procedures to ensure the reliability, accuracy, and security of data processing workflows. Stay informed of industry best practices and emerging technologies in both data engineering and data science to propose optimizations and innovative solutions.

Negotiation

View details

Senior AI Engineer

Ho Chi Minh - Viet Nam


Product

  • Python
  • AI
  • Machine Learning

We're seeking an AI Engineer with strong academic foundations and deep technical expertise who excels at translating research into production banking systems. This role is 80% focused on engineering excellence-deploying models, optimizing infrastructure, ensuring reliability, and solving real-world implementation challenges-and 20% on staying current with cutting-edge AI research and emerging technologies. You'll bridge the gap between state-of-the-art AI research and scalable production systems in the financial services sector.#AI Engineering & Deployment (80%) Design, build, and deploy production-ready AI/ML systems on AWS with focus on reliability, scalability, and performance for banking applications Implement and maintain MLOps pipelines using AWS services (SageMaker, Bedrock, Lambda, Step Functions) including model versioning, monitoring, and automated retraining workflows Build and optimize AI solutions using AWS Bedrock, OpenAI API, and Gemini API combining with Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol for various banking use cases Design and implement prompt engineering frameworks and prompt management systems for LLM-based applications Develop graph analysis solutions for fraud detection, customer relationship mapping, and network analysis in banking contexts Debug and troubleshoot production AI systems, identifying and resolving issues in model performance, data pipelines, and AWS infrastructure Build and maintain AIOps practices including automated monitoring, alerting, and incident response for AI systems on AWS Optimize model serving infrastructure for latency, throughput, and cost-efficiency using AWS services Implement robust data pipelines using AWS Glue, Kinesis, and related services for training and inference Collaborate with software engineering and risk teams to integrate AI capabilities into banking products and services Ensure compliance with banking regulations and security standards in all AI deployments Monitor model performance in production and implement drift detection and retraining strategies#AI Research & Innovation (20%) Stay current with latest AI research papers and breakthroughs, evaluating applicability to banking and financial services Research and prototype emerging AI architectures and techniques for financial use cases Evaluate new paradigms in model training, inference optimization, and architectural innovations Share knowledge through technical discussions, paper reviews, and internal research presentations Identify opportunities to apply cutting-edge research to improve fraud detection, customer service, risk assessment, and other banking operations

Negotiation

View details

Senior Full-stack Software Engineer (.NET/ReactJS)

Ho Chi Minh - Viet Nam


Outsource

  • .NET
  • ReactJS

Collaborate with peer developers to perform hands-on coding and code review Utilize customer or business requirements to develop consistent applications Design, develop, review, implement, maintain, and manage continuous integration, build management, and deployment scripts Participate in Agile/Scrum activities such as daily standup, demo session, retrospective, estimate, and planning Provide mentoring and training for junior members Fulfill additional tasks assigned by the Line Manager

Negotiation

View details