Data Scientist

Capabilities, Experience & Qualification Requirements

Essential capabilities

Experience- 7-14 years

Location: Gurugram

Problem solvers - Energised by tackling complex problems. Use critical thinking, network, skills, knowledge, and available data to drive better outcomes for our customers and the bank

Are strong communicators - With experience in explaining complex issues to senior stakeholders

Are team players - Recognise and value the different perspectives and skills each team member brings.

Align to customer outcomes - You demonstrate the ability to better understand the customer and define the problem and develop solutions, that meet their needs

Continually looking for improvement - Challenge the status quo, look for better ways of doing things and passionately advocate continuous improvement

Understand Risk in data By building sustainable outcomes that protect stakeholders and customers, and proactively address risks by making improvements in the bank's overall risk and control environment

Experience

Delivering projects with senior stakeholders

Predictive and financial modelling experience

Demonstrable knowledge and experience with Machine learning (supervised and unsupervised) using either Python, R, SQL, Jupyter, TensorFlow, Apache Spark or a combination thereof

Engineering principles such as data sourcing, cleansing, joining and ETL

You have knowledge and experience with base analytic tools such PowerBI and Tableau

You have strong business acumen and can translate data insights into practical and actionable recommendations

Strong attention to detail and focus on quality

Ability to communicate data and insights visually to a broad audience

Knowledge and experience in local banking environment and customer behaviour