Senior Data Scientist, DAI - DM (BE) - Data Science MY

 

Strategy and Planning 

 

• Support Big Data analytics for MY initiatives.
• Leverage state of the art algorithms to deliver value of big data to business.
• Exploratory data analysis and model development using state-of-the-art methods, keeping abreast with latest developments in machine learning and applying them to solve business problems
• Selecting features, building and optimizing classifiers using machine learning techniques 
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis
• Perform analysis and presenting results in a clear and concise manner
• Creating automated model automation to produce periodic output systems and constant tracking of its performance
• Building and integrating Large Language Model (LLMs) and LangChain into the business processes

 

Business and Performance and Management

 

 

 

Regulatory Compliance

• Ensures all Group Consumer operations are in compliance with Group, local and regional regulations 

 

 

 

 

 

 

Job Specification *

 

Qualifications 

(Basic Degree/Diploma etc)

 

• Bachelor's Degree or Professional Qualification in the relevant discipline (Financial/Engineering/Computer Science/Actuarial Science/Statistics)

Professional Qualification and/or Regulatory, Licensing requirements     Relevant Work Experience 

• Candidate must have at least 6 -10 years of hands on experience in statistical modeling using machine learning and AI techniques 
• 3-5 years of prior leadership position

 

Required Competencies and Skills *  

Competencies/Skills

(Essential to succeed in this job)

 

Technical/Functional skills

 

• Demonstrated experience in applying and implementing machine learning techniques such as neural networks, SVM, recommender engines, deep learning algorithms (e.g., TensorFlow, PyTorch), etc. 
• Some knowledge of NLP, computer vision, and other generative AI techniques (e.g., GPT, BERT, GANs) is encouraged
• Strong knowledge of common data science toolkits like tools like  R / Python. 
• Experience with MLOps tools and practices, including version control, CI/CD, containerization (e.g., Docker), and orchestration (e.g., Kubernetes).
• Familiar in SQL and visualization tool such as Excel and QlikView, 
• Knowledge in Big Data Tools (e.g. Hive, Impala, Hadoop and Spark) is an added advantage.
• Hands-on experience utilizing cloud base data analytics offering and services is an added advantage

 

Personal skills (Soft Competencies [Core/Leadership])

• Ability to manage AI/ML projects, including model development, testing, deployment, and monitoring.
• Strong presentation and influencing skills required to put forward solution/ model to solve business problems
• Active team player that support various solution/ model initiatives across the bank
• Builds strong culture of excellent service and high performance