Senior Data Analyst

Job level Middle
Work exp No work experience
Education Bachelor Degree
Location
Within Hong Kong
Employment type Full Time
Industry Insurance / Pension Funding (MPF)
Job function Insurance > Others
Published On 27/06/2022
ref. 220003PR_53466

Responsibilities:

  • Support the development of different data science initiatives including deep learning models and statistically advanced model scripts to support data science and analytics initiatives on AI.
  • Support the development of cloud solution in Azure platform like data loading, pipeline design, on-perm to cloud migration etc.
  • Support on C360 Datamart enhancement and maintenance.
  • Monitor and enhance the performance and effectiveness of existing models in production.
  • Mange BI solution development and implementation for various MI reporting using Power BI.
  • Deliver insights from the data visualization process from a customer-centric approach.
  • Work on Data Science project with different stakeholders to expand data science discipline into business application spectrum.

Requirements:

  • Graduate or advanced degree qualification in related subjects, eg, Data Science, Statistics, Maths etc.
  • 2+ years of relevant working experience in data analytics field as statistician/analyst/data scientist.
  • Good understanding on the prevalent NLP-related algorithms and models like Word2Vec, LSTM, Transformer, GPT, Bert etc.
  • Have hands-on experience with deep learning framework like Tensorflow, PyTorch.
  • Good knowledge of model development process like data cleansing, feature engineering, model training and validation; and have good understanding of the algorithms behind.
  • Familiar with data science libraries like Pandas, Spark, Numpy, Scikit-learn etc.
  • Strong programming skills in Python, SQL and SAS.
  • Have experience with Azure and Databricks will be a plus.
  • Previous exposure to /knowledge of instance industry will be an asset.
  • Proactive and with a can-do attitude.
  • Good command of English, Cantonese/Mandarin.