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Data Scientist

Karnataka, India (On-site)

Data Scientist

4 Months ago • 7-10 Years • Data Analyst • Undisclosed

About the job

8 skills required for this role

Add these skills to join the top 1% applicants for this job

algorithms

python

sql

data-science

data-analytics

storytelling

presentation-skills

talent-acquisition

Job Description

Data Scientist needed at ANZ with 7+ years experience. Must have proficiency in Python and SQL, experience in predictive modeling and building & deploying pipelines. Good understanding of the Banking system is a plus.

Must have:

Python & SQL
Predictive Modeling
Pipeline Building
Data Insights

Good to have:

Airflow Integration
Data Quality Checks
Banking System
Customer Lens

Perks:

Flexible Working
Health & Wellbeing

About the job

About Us

At ANZ, we're applying new ways technology and data can be harnessed as we work towards a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

Our community of over 5,000 engineers is key to making this happen, because technology underpins every part of our business - from delivering tools, apps and services for our customers, to building a bank for the future.

About The Role

At ANZ our purpose is to shape a world where people and communities thrive and to achieve this, we need a talented Data Scientist to join our Data Capability tribe.

As a Data Scientist , you are accountable for developing & deploying ML & AI solution for complex business problems. You will be communicating insights through impactful data visualisation and storytelling. As a data scientist you are expected to constantly question & improve the existing processes through advanced approaches.

What will your day look like?

Address and solve complex business issues using large volume of data

Develop insights and algorithms that transform key business processes and automate banker decisions and activities

Continuous generation, monitoring, presenting and conducting of 'fact-based' analysis, insights and models to use at any time for the development and improvement of relevant and innovative propositions

Design, build, deploy, monitor and assess relevant models for customers, clients, products and channels.

Develop tools and methods to scientifically profile customers and customer segments, products and channels and associated costs, revenues, risks and opportunities

Source data from a variety of sources to combine, synthesise and analyse to support campaigns, pricing, propositions and other decisions

Initiate, design and implement innovative capabilities in the field of data science and data analytics

Constantly improve domain & technical expertise

What will you bring?

7 plus years' experience in Data Analytics/ Data Science domain

Analytical mindset with ability to analyse data and generate insights

Good understanding of predictive modelling, clustering, supervised and unsupervised learning

Proficiency in Python and SQL is mandatory

Experience building and deploying pipelines for Model training, deployment and monitoring using Airflow and integrating data quality checks is mandatory

Strong ability to translate data insights into practical business recommendations

Strong data management skills

Strong communication and presentation skills

Ability to lead and inspire a team

Good understanding of the Banking system and products, service, channels

Strong customer lens and affinity

Analytical and inquisitive mindset to continuously improve the level of decisions automated

Ability to effectively communicate to all stakeholders (technical and non-technical)

So why join us?

ANZ is a place where big things happen as we work together to provide banking and financial services across more than 30 markets. With more than 7,500 people, our Bengaluru team is the bank's largest technology, data and operations centre outside Australia. In operation for over 33 years, the centre is critical in delivering the bank's strategy and making an impact for our millions of customers around the world. Our Bengaluru team not only drives the transformation initiatives of the bank, it also drives a culture that makes ANZ a great place to be. We're proud that people feel they can be themselves at ANZ and 90 percent of our people feel they belong.

We know our people need different things to be great in their role, so we offer a range of flexible working options, including hybrid work (where the role allows it). Our people also enjoy a range of benefits including access to health and wellbeing services.

We want to continue building a diverse workplace and welcome applications from everyone. Please talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability or access requirements, let us know how we can provide you with additional support.

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