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(Senior) Data Analyst (Data Scientist)
Location not stated
Actively hiring, first seen by us 2 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Job No.: 496026 Employment Type: Full time Departments: Information Technology Department
Read the full posting
What you’ll work on
Full postingAnalyse business requirements and identify opportunities for AI adoption
Assess feasibility, risks and challenges of proposed AI solutions and run proof-of-concept studies
Take part in planning, design and execution of AI and data analytics projects
Develop machine learning models with cross-functional data science teams
Research AI trends and prepare study reports and presentations for diverse audiences
From the employer’s posting
Partner with business units to analyse requirements and identify opportunities for AI adoption.
Assess the feasibility of proposed solutions, evaluate key challenges and risks, and conduct proof-of-concept studies
Take part in the planning, design, and execution of projects
collaborate within cross-functional data science teams throughout the machine learning model development lifecycle
Prepare study reports and presentations tailored to diverse audiences
What you’ll bring
All qualificationsCore experience
- Bachelor’s degree or above in Artificial Intelligence, Statistics, Mathematics, Computer Science, or related fields.
- Solid understanding of machine learning, deep learning, natural language processing, and generative AI.
- Proficient in Python and familiar with mainstream machine learning modelling and generative AI application frameworks and tools.
- Excellent communication and presentation skills
Preferred experience
- Knowledge in data visualization tools such as Tableau preferred
Qualification wording
Bachelor’s degree or above in Artificial Intelligence, Statistics, Mathematics, Computer Science, or related fields.
Solid understanding of machine learning, deep learning, natural language processing, and generative AI.
Proficient in Python and familiar with mainstream machine learning modelling and generative AI application frameworks and tools.
Excellent communication and presentation skills
Knowledge in data visualization tools such as Tableau preferred
Education & alternatives
Requirements: - Bachelor’s degree or above in Artificial Intelligence, Statistics, Mathematics, Computer Science, or related fields. - Solid understanding of machine learning, deep learning, natural language processing, and generative AI.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 2, 20262 days ago
- Recorded sightings
- 3
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Bank of China (Hong Kong) is hiring
11 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordSee how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Tableau
Where the posting names them
- Solid understanding of machine learning, deep learning, natural language processing, and generative AI. - Proficient in Python and familiar with mainstream machine learning modelling and generative AI application frameworks and tools. - Banking, Financial Services or Fintech industry experience preferred
- Banking, Financial Services or Fintech industry experience preferred - Knowledge in data visualization tools such as Tableau preferred - Strong analytical mindset and problem-solving skills with strong attention to details
Your next step
Complete your application on careers.pageuppeople.com. The employer’s form will show what is required.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
(Senior) Data Analyst (Data Scientist)
Job No.: 496026
Employment Type: Full time
Departments: Information Technology Department
Job Functions: Information Technology
Responsibilities:
- Partner with business units to analyse requirements and identify opportunities for AI adoption. Assess the feasibility of proposed solutions, evaluate key challenges and risks, and conduct proof-of-concept studies to demonstrate the value and applicability of innovative AI technologies to business needs.
- Contribute to the ongoing development of the bank’s AI application ecosystem by actively participating in AI and data analytics initiatives. Take part in the planning, design, and execution of projects, and collaborate within cross-functional data science teams throughout the machine learning model development lifecycle to deliver impactful solutions.
- Stay current with the latest advancements in AI technologies and governance practices. Conduct innovative research to help shape the bank’s AI strategy and roadmap. Prepare study reports and presentations tailored to diverse audiences, and support the continuous improvement of AI governance and risk control measures.
Requirements:
- Bachelor’s degree or above in Artificial Intelligence, Statistics, Mathematics, Computer Science, or related fields.
- Solid understanding of machine learning, deep learning, natural language processing, and generative AI.
- Proficient in Python and familiar with mainstream machine learning modelling and generative AI application frameworks and tools.
- Banking, Financial Services or Fintech industry experience preferred
- Knowledge in data visualization tools such as Tableau preferred
- Strong analytical mindset and problem-solving skills with strong attention to details
- Excellent communication and presentation skills
- Good command of written and spoken English and Chinese, including Putonghua
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