Strategic Customer Insights Data Scientist

Strategic Customer Insights Data Scientist

3-5 years
Not Specified

Job Description

Job Description
Some careers have more impact than others.
If you're looking for a career where you can make a real impression, join HSBC and discover how valued you'll be. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.
Wealth and Personal Banking leverages HSBC's global retail banking expertise and wealth management capabilities to deliver a broad range of world-class retail banking solutions to millions of customers. Driving for growth in key markets around the world, the business comprises areas such as retail banking, wealth management, insurance and asset management, with a focus on customer-centric propositions and innovative and efficient distribution channels that will differentiate our customer experience and deliver market leading retail banking and wealth management solutions.
We are currently seeking an ambitious individual to join our Wealth and Personal Banking team in the role of Strategic Customer Insights Data Scientist working together with colleagues to define, manage and achieve divisional business targets.

Principal Responsibilities

this is a key position to harness strategic customer insights for HSBC Wealth and Personal Banking, Malaysia. The Strategic Customer Insights Data Scientist will be conducting statistical, diagnostic, and predictive analytics in partnership with our digital, assets, products and wealth teams to turn data into critical information and knowledge via implementation of end-to-end analytic solutions.
The role holder will be accountable to:
  • Mine through large data sets to uncover trends, insights, and opportunities
  • Conduct exploratory data mining and analysis to understand customer behaviours, experience, engagement and uncover opportunities
  • Design end to end ML/AI solutions: from understanding business requirements, data discovery and extraction, model development and evaluation, to production pipeline implementation
  • Lead projects related to text analytics, predictive modelling, data investigation, data development and opportunity identification
  • Identifies, analyses, and interprets trends or patterns in complex data to provide answers to business questions as well as provide recommendations for action
  • Develop predictive scoring and segmentation models including linear/logistic regressions, decision trees, neural network, clustering, etc.
  • Leverage machine learning and natural language processing techniques to mine through unstructured data to uncover insights, topic detection, keyword extraction, and sentiment analysis.
  • Presents data and analysis in a clear and concise manner allowing business stakeholders to quickly understand the results and recommendations to make data driven decisions.
  • Synthe complex data analysis and insights into easy to understand, effective data storytelling
  • Collaborates with various internal teams to prioritize requests/needs and provide a holistic view of the analysis

This role will be critical to lead the local deployment of projects which are targeting to improve the data infrastructure (Intelligence Hub programme), digital messaging and customer engagement (Next Best Action programme) and Machine Learning & Artificial Intelligence (ML & AI) capabilities which are multi-million $ investments. The role will be responsible and accountable of commercialization of these investments as well. Qualifications
  • Bachelor's Degree in Economics, Finance, Statistics, Mathematics, Data Science, or another quantitative field. Master's degree preferred
  • 3-5 years of relevant experience in data science or analytics role
  • 3+ Years experience with Python, Numpy, Pandas, and Scikit-learn. Most of our work uses Python ML stack.
  • 3+ years experience with data querying skills using SQL. Able to aggregate, gather and manipulate data.
  • Demonstrated ability to communicate ideas and analytical results effectively both verbally and in writing to both a technical and non-technical audience.
  • Experience with taking observational data and using models to try to show causal impact (i.e. Causal Inference)
  • Experience with agile development practices and GIT. We build reproducible systems.
  • Experience with one or more of the DNN frameworks like TensorFlow or PyTorch. Some of our projects involve deep learning models
  • Some experience with Cloud SQL or NoSQL would be helpful
  • Sharp analytical, technical, and mathematical / statistical skills
  • Experience in financial services and/or banking preferred
  • Ability to communicate in business and technical settings. We need to be able to build models and explain to others how and why they work

You'll achieve more when you join HSBC
HSBC takes pride in a diverse and inclusive working environment that sees our people benefit from mentoring, flexible working and the support of Employee Resource Network Groups. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
'To be considered for this role, the relevant rights to work in Malaysia are required.'
Issued by HSBC Bank Malaysia Berhad

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