IT - Data Scientist (Gen AI)

FortisHill Consulting; Hong Kong; On-site; HKD 600,000 - 1,000,000; Full time

Job summary

FortisHill Consulting in Hong Kong seeks a highly motivated Data Scientist to join its Data & AI team in Asia. You will design, develop and deploy ML models using Python, and work on Generative AI, data engineering, and governance initiatives to deliver measurable business value.

The role requires 4+ years in data science/ML, strong Python skills with TensorFlow and PyTorch, and familiarity with SQL, Spark, Airflow, Git and cloud environments. Collaboration across regional units is essential.

Qualifications

• Bachelor's or Master's in CS, DS, statistics, math, engineering, or related quantitative field.
• 4+ years hands-on experience in Data Science / ML; 4–5 years preferred.
• Strong Python proficiency and ML libraries (TensorFlow, PyTorch).
• Exposure to Generative AI frameworks and applications.
• Familiarity with SQL, Spark, and Airflow.
• Experience with Git and DevOps practices.
• Familiarity with cloud platforms and modern data/AI environments.
• Strong analytical and problem-solving skills; translate requirements into data solutions.
• Excellent communication and stakeholder engagement skills.

Responsibilities

• Design, develop, and deploy ML models using Python to support business applications and data-driven initiatives.
• Develop and optimise both traditional ML and Generative AI solutions for practical business use cases.
• Conduct exploratory data analysis, feature engineering, and data source evaluation.
• Collaborate with cross-functional stakeholders to identify data science opportunities delivering business value.
• Evaluate data sources for analytical and modelling requirements.
• Refresh, retrain, and enhance existing models with minimal supervision.
• Document model development processes for reproducibility and maintainability.
• Support data pipeline development and data integration initiatives as required.
• Contribute to data governance and data quality improvement activities.
• Participate in evaluating data tools and platforms for regional units.
• Review data practices and provide recommendations for improvement.

Skills

Python

TensorFlow

PyTorch

SQL

Spark

Airflow

Git

DevOps

Cloud platforms

Data science

Education

Bachelor's or Master's degree in CS/DS/Statistics/Math/Engineering

Job description

Our client is seeking a highly motivated Data Scientist to join its Data & AI team in Asia. This role will focus primarily on developing and deploying data science and machine learning solutions using Python, with additional exposure to Generative AI, data engineering, and data management initiatives.

Key Responsibilities

Data Science & Machine Learning

• Design, develop, and deploy machine learning models using Python to support business applications and data-driven initiatives.
• Develop and optimise both traditional machine learning and Generative AI solutions for practical business use cases.
• Conduct exploratory data analysis, feature engineering, and data source evaluation to support model development.
• Collaborate with cross-functional stakeholders to identify opportunities where data science and AI can deliver measurable business value.
• Evaluate different data sources and determine their suitability for specific analytical and modelling requirements.
• Refresh, retrain, and enhance existing models with minimal supervision.
• Document model development processes and ensure solutions are reproducible and maintainable.
• Support data pipeline development and data integration initiatives where required.
• Contribute to data governance and data quality improvement activities.
• Participate in the evaluation of data tools and platforms for different operating companies / business units.
• Review existing data practices and standards and provide recommendations for improvement.

Stakeholder & Regional Collaboration

• Work with Data Scientists, Data & AI teams, and business stakeholders to deliver data-driven solutions.
• Support multiple business units and contribute to cross-regional data and AI initiatives.
• Communicate analytical findings, technical approaches, and recommendations clearly to both technical and business stakeholders.
• Take ownership of assigned initiatives while proactively developing knowledge of new data science techniques, emerging technologies, market trends, and professional skills.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.
• Minimum 4 years of hands-on experience in Data Science / Machine Learning, with approximately 4–5 years of relevant experience preferred.
• Strong proficiency in Python and common machine learning libraries such as:
• TensorFlow
• PyTorch
• Practical experience in machine learning model development and deployment.
• Exposure to Generative AI frameworks and applications.
• Familiarity with data engineering technologies such as SQL, Spark, and Airflow.
• Experience with Git and DevOps practices.
• Familiarity with cloud platforms and modern data / AI environments.
• Strong analytical and problem-solving skills with the ability to translate business requirements into practical data solutions.
• Excellent communication and stakeholder engagement skills.

Preferred Attributes

• Experience working with cross-regional teams or multiple business units.
• Understanding of enterprise data architecture and data governance.
• Experience supporting data quality, data management, or data platform initiatives.
• Ability to work independently, manage multiple priorities, and take ownership of deliverables.
• Experience working within an Asia / regional operating model would be advantageous.