VP, Data Scientist, Human Capital Analytics, Group Human Resources - (WD33341)

Key Skills

Java Programming, Design of Experiment, Python Programming, SQL, Git, Apache Hadoop, Machine learning techniques, Apache Hive, R Programming, Linux Operating system, SPARK Programming, Terabyte scale datasets

Job Description

You’re no doubt a data whiz. You are adept at using data, research and analytical insights to help businesses and organisations make informed decisions. You’re particularly invested in utilising data to drive decisions that have a direct impact on the lives of individuals. It’s where your interest in Human Resource stems from (after all, people lie at the heart of HR).

With the power of data at your disposal, you’re known to be both a problem-solver and an opportunity-explorer. Others count on you – and your exceptional eye for details, analytical mind and hearty curiosity – to diagnose their needs, identify opportunities and seek out solutions. And you’re not one to let them down.

As an individual expert in data science, you have the necessary hard, and soft, skills to succeed. These include being comfortable with interacting with colleagues from across various job functions and levels (whether or not they ‘speak your language’), and leveraging best practices from the field and industry.

Your role involves:

• Work amongst a team of data scientists in partnering with business intelligence developers, visualisation and insights experts, and HR business specialists to assess our organisation’s human capital needs and identify opportunities to apply data analytics.
• Improving the way we design our end-to-end employee journey through experimentations.
• Defining analytical strategy, problem statements and hypotheses to address identified opportunities, including analytical approaches, data and technology requirements.
• Developing predictive models and performing statistical analyses to identify key areas of risk and predict risk events, across a range of banking functions.
• Designing and implementing tracking and feedback mechanisms to allow for capturing of actions and the impact of data-driven decisions on business outcomes.

Your background:

You have the track record:

• You have at least 5-8 years of hands-on experience with analytical tools and techniques, and of which, past 5 years of relevant experience being in an analytical function building and implementing various statistical models, working with large amounts of data and articulating business questions, data extraction and use of statistical approaches to arrive at an answer.
• You’ve built and operationalised the analytical capability of a business or organisation.

You have the basics covered:

• Able to translate business problems into mathematical formulations? Check.
• Understand mathematical and Artificial Intelligence (AI) Machine Learning (ML) modelling techniques? Check.
• Proficient in data manipulation and analysis? Check.
• Programming experience in R, Python, Spark or other statistical software? Check.
• Other programming languages can include SQL, Hadoop, Java, Hive, and/or MariaDB? Check.
• Experience using ‘Git’ as a version control tool, preferably with the ability to work in Linux environment? Check.

Ideally, you should have:

• Experience working with unstructured datasets, and knowledge in text mining and text analysis.
• Deep interest and aptitude in data, metrics, analysis and trends and applied knowledge of statistics, measurements and model evaluation.
• HR domain knowledge and/or People analytics-related experience is a plus.

Who we are:

We’re known as Group Human Resources, and what this means is we’re obsessed about our employees. Our goal is simple: to attract, retain and nurture individuals who are serious about taking banking to the next level, regardless of the role or function they are in.

Like the rest of the organisation, data is in our blood, and we have the in-house capabilities to make informed, data-driven decisions concerning our people. Our Human Capital Analytics team acts as an integral innovation lab, using diagnostic, advanced analytical approaches to identify opportunities and solve challenges in areas such as organisational health.

We’re putting our people first, and as always, we start by listening. It not only allows us to stay connected to them, but also harness their feedback to drive change for the better.

If you’re just like us, we’d love to hear from you.

Note: Candidates with lesser experience may be considered for a lower level position.

Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.