Data Scientist

Our people work differently depending on their jobs and needs. From hybrid working to flexible hours, we have plenty of options that help our people to thrive.

This role is based in India and as such all normal working days must be carried out in India.

Job Description

Join us as a Data Scientist

• You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions
• We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data
• This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work
• We're offering this role at associate level
  
  
  

What you'll do

As a Data Scientist, you’ll bring together statistical, mathematical, machine-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end-to-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy.

You’ll also be:

• Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics
• Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services
• Working in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and scrum outcomes
• Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale
• Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment
  
  
  

The skills you'll need

You’ll need a strong academic background in a STEM discipline such as Mathematics, Physics, Engineering or Computer Science. You’ll have an experience of atleast five years with statistical modelling and machine learning techniques.

We’ll also look for financial services knowledge, and an ability to identify wider business impact, risk or opportunities and make connections across key outputs and processes

You’ll also demonstrate:

• The ability to use data to solve business problems from hypotheses through to resolution
• Experience using Python, Tableau, SQL and software engineering fundamentals
• Experience of of analytics in fraud prevention and detection
• Experience of monitoring and maintaining model performance through developing new dashboards and reports, improve existing dashboards and in-house Python packages
• Experience of exploratory data analysis
• Good communication skills with the ability to proactively engage with a wide range of stakeholders