ANZ Recruitment 2024: ANZ Recruitment 2024 For Data Scientist. Bachelor’s Degree candidates can apply. The detailed eligibility and application process are given below.
About Company: ANZ has a proud heritage of more than 180 years. Our purpose is to shape a world where people and communities thrive. That is why we strive to create a balanced, sustainable economy in which everyone can take part and build a better life. We employ more than 50,000 people and have our global headquarters in Melbourne. ANZ is among the top 4 banks in Australia, the largest banking group in New Zealand and Pacific, and among the top 50 banks in the world.
Job Title: Data Scientist
Location: Bangalore
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Job Description:
- 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
- Initiate, design and implement innovative capabilities in the field of data science and data analytics
As a Data Scientist, you will:
- Exhibit strong analytical mindset with ability to analyse data and generate insights
- Build data science solutions for multiple business use cases
- Utilize your existing skillset to deliver quality results using advanced analytics, ML,AI
- Focus on continuously improving your technical skills
- Exhibit strong data management skills
- Develop on communication and presentation skills
- Lead and inspire a team
- Need to have good understanding of the Banking system and products, service, channels
- Ability to effectively communicate to all stakeholders (technical and non-technical)
What will you bring:
- Problem Solving – Comprehensive understanding of a range of analytical problem-solving advanced analytics techniques
- Continuous Improvement & Change – Understands, accepts and supports the need for change and adapts own behaviours to changing circumstances and provides input to change projects
- Data Wrangling: Skills in data cleaning, transformation, and pre-processing are essential for dealing with messy, unstructured data.
- Programming Skills: Proficiency in programming languages like Python & SQL is crucial for data manipulation, analysis, and model development.
- Technical Skills: Familiarity with machine learning algorithms and techniques such as regression, classification, clustering, and time series forecasting is necessary for building predictive models and extracting insights from data.
- Understanding of Statistical methods and ability to rightly apply them for business solving.
- Experience in building statistical model from scratch covering problem statement definition, data extraction, EDA, model selection/training/evaluation/tuning, validation, interpretation, deployment & monitoring
- Influence & Relationship Building – Uses an understanding of others’ point of view and empathy to gain buy-in to develop existing relationships and help build new ones
- Product Expert (new innovation) – An understanding of analytical techniques, including awareness of new and emerging capabilities
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Qualification: Bachelor’s Degree
Work Experience: Freshers / Experience
How to Apply for ANZ Recruitment 2024?
Interested and Eligible candidates can apply for this drive online by using the link below.
Apply: Click Here